Multi-threaded WebAssembly in action for route optimization, all bundled with geocoding, OSM maps and routing, and provided world-wide.
We're adding driver's PWA, saving and sharing of route optimization projects, editing of optimized routes, sharing it with others either for execution or for approval, integrations and AI-assisted data imports, auth flows, support prompts, sales automation and all that boring stuff.
- Kvile ( https://kvile.app ) — A lightweight desktop HTTP client built with Rust + Tauri. Native .http file support (JetBrains/VS Code/Kulala compatible), Monaco editor, JS pre/post scripts, SQLite-backed history. Sub-second startup. MIT licensed, no cloud, your requests stay on your machine. Think Postman without the bloat and login walls.
- Mockingjay ( https://apps.apple.com/us/app/mockingjay-secure-recorder/id6... ) — iOS app that records video and streams AES-256-GCM encrypted chunks to your Google Drive in real-time. By the time someone takes your phone, the footage is already safe in the cloud. Built for journalists, activists, and anyone who needs tamper-proof evidence. Features a duress PIN that wipes local keys while preserving cloud backups, and a fake sleep mode that makes the phone look powered off during recording.
- Stao ( https://stao.app ) — A simple sit/stand reminder for standing desk users. Runs in the system tray, tracks your streaks, zero setup. Available on macOS, Windows, Linux, iOS, and Android.
- MyVisualRoutine ( https://myvisualroutine.com ) — This one is personal. I have three kids, two with severe disabilities. Visual schedules (laminated cards, velcro boards) are a lifeline for non-verbal children, but they're a nightmare to manage and they don't leave the house. So I built an app that lets you create a full visual routine in about 20 seconds and take it anywhere. Choice boards, First/Then boards, day plans, 50+ preloaded activities, works fully offline. Free tier is genuinely usable. Available on iOS and Android.
A few questions and comments:
| Kvile |
- Awesome, really happy to see a reasonable take on this (open source, offline-first, no telemetry, no acount, etc). Do you think at some point you'll try to monetize it in some way?
- Looks like build assets didn't get attached for the latest release (v0.2.1) in Github: https://github.com/tskulbru/kvile/releases/tag/kvile-v0.2.1
| Mockingjay |
- Awesome, definitely a valuable project. I'll be sharing this with some friends who could really use this.
| Stao |
- The website says it's open source, but I couldn't find a link to the source repo. I looked at your github repos and didn't see it in there either.
- Great idea! I'm so bad about forgetting to stand so something like this could be super useful.
Stao: Hm yea this is a mistake on my LLM when it generated the website for me (i couldnt be bothered). It probably got confused since i released it for Linux. Its not open-source. Yes! Exactly, thats why i made it, i ALWAYS forgot. I still do, but far less frequently than before, using Stao helped me a lot.
The app is beautiful - much better than I could build - what tech is it using if you don't mind me asking? Is it flutter, react native, something else? Just want to get better at mobile dev.
> All apps i found were either shit, real shit, or didnt solve my personal need.
Wow, what an amazing coincidence. I made something that looks pretty similar from the looks of it just a few weeks ago because I found the same thing. If I knew your app existed I probably wouldn't have made it. I wasn't even thinking of selling it, just made it for my kid because it makes following various daily routines easier.
It's a mostly vibe coded (well, I made tons of visual and technical decisions but didn't look at the code much except some spot checks) PWA that can run offline on an iPod Touch.
It has some quirks and hidden features for day schedules, timers, etc.
There's plenty of yank in there (yours is almost certainly built better) but it works pretty well for most daily routines.
You can check it out here: https://girls-routine-planner.huppie.nl/
That's going to be used for recording women in public.
I can appreciate that it's useful for journalism while also warning you that not every user is going to be a journalist. It's possible to have a conversation without being in a fight all the time.
1. https://app.evvl.ai - a privacy focused Eval tool that you can download and compare outputs from different AI models (bring your own key)
2. https://dnsisbeautiful.com - an extremely clean and fast DNS lookup tool to track propagation across the different networks.
3. https://finalfinalreallyfinaluntitleddocumentv3.com/ - this is a Mac only file renaming tool (you drag and drop "screenshot1.png" onto it and it renames it to "dns-results.png" for you via local AI models. Though in true side project fashion the site looks kind of borked at the moment.
We've been using it with friends and family semi-successfully (hashbangs work for edge cases we're still working on).
It's really difficult to get bigger indexes other than Mojeek and Marginalia to want to work with us and improve the results further, so that's something I've been researching more, lately. EUSP (the new Ecosia/Qwant-effort-related index) has finally replied to me last week, but I'm still waiting on an API key.
If you're interested in trying it for a few days and are a human, reach out with your account number and I'll give you a couple of weeks for free. We're pushing improvements daily.
[2] https://kagi.com
P. S. It's weird to see this duplicate (posted less than a week ago in https://news.ycombinator.com/item?id=46874385), but this post has a lot more comments!
https://www.fusio-project.org Fusio an open source API & AI management platform to build and manage APIs and MCP tools.
https://typehub.cloud TypeHub an open platform to design and version API specifications.
https://sdkgen.app SDKgen a tool to generate client SDKs and server stubs supporting multiple languages.
It's designed to integrate with Maven projects, to bring in the benefits of tools like Gradle and Bazel, where local and remote builds and tests share the same cache, and builds and tests are distributed over many machines. Cache hits greatly speed up large project builds, while also making it more reliable, since you're not potentially getting flaky test failures in your otherwise identical builds.
What I'm most excited about right now is DB Pro Studio: a collaborative web-based version I'm building on top of it.
The idea is simple: databases are a team activity, but every DB tool treats them as a single-player experience. Studio adds either a self-hosted or managed hosted data browser, real-time collaboration, dashboards, visual workflow automation, and enterprise features like audit logging and role-based access. Think "database command center" where your whole team can inspect, query, and build on your data together.
The desktop app acts as the execution engine (your data never leaves your infrastructure), while Studio provides the shared dashboard layer.
I've also consistently posted devlogs on YT throughout the journey, which has helped build a community of ~1,400 subscribers who've shaped the product along the way.
Site: https://dbpro.app YouTube: https://youtube.com/@dbproapp
Would love feedback from anyone who's felt the pain of sharing database context across a team.
At the end of the day, people pay to save time. Doesn't matter if it's been done to death.
(disclaimer: I used to work at PostHog)
Downloaded and onboarding was nice. A couple of things:
- The initial schema for my local Postgres table was showing public but there were a bunch of tables showing that clearly were not tables in my public schema. Changing the schema to something else and back worked.
- Limiting the free version on number of tabs feels... annoying. I appreciate that a lot of stuff out there doesn't even have a free version but the software automatically opened with a few tabs (or I accidentally clicked on it?) and then as soon as I clicked on my first table I was paywalled. I feel like I'll accidentally open more tabs (even though I really just wanna work on one at a time) and get frustrated, which is more likely to drive me away than to pay at this point.
Note btw that ofc you have to make money and this is a product that I feel I'd be willing to pay for but I got frustrated within 2mins of using it so it wasn't like oh I've felt the value let me pay, it was more like I haven't even gotten to value yet.
Great work anyway and I'll keep trying and provide feedback as it comes! Thanks for building this
I just published the first episodes today and have zero listeners or subscribers, so it can only grow from here!
https://historyofthemajorityworld.com
Spotify: https://open.spotify.com/show/4qJh2jNwMvWcLP1J1EMXxr?si=dcc7...
Apple Podcasts: https://podcasts.apple.com/rw/podcast/history-of-the-majorit...
I built a TUI sampler which cherry-picks my favourite features from modern & vintage hardware samplers, DAWs, plugins, outboard FX gear, and DJ equipment.
If you know what an AKAI MPC Live, MPC 3000, SP404, SP1200, BOSS RC-202, Alesis 3630, Serato Sample, S950 filters, and stem separation does, then you'll love seeing these "greatest hits" up in a terminal interface.
Last year while on vacation in Costa Rica, I started scratching my own itch for locating and organizing samples, which quickly evolved into adding more and more features while keeping it tactile and immediate. It was too fun to stop so I kept going. After a few days I was happily making beats in it, and since then it's only gotten better.
It's live and totally free to use, and works in macos & Linux (Windows soon). I'm about to launch v1.0 now, just working with folks in the community to round out the Factory Kits a little more for users new to beatmaking.
Turns out, making beats with no mouse and a terminal interface strikes the perfect balance of hardware feel and software power, and I'm loving the result. Been sharing it with folks in my beatmaking sphere and have plans to continue expanding its reach through more collaborations, contests, and in-person events.
Hope it brings you as much joy as it does to me :)
If you want to kick the tires, you an deploy a CloudFormation stack to a Sandbox AWS account - see https://trailtool.io/install.html
I have created a usb-uart converter board with the CH340 chip. The complete schematic was coded with Circuitscript and then imported as a netlist into kicad pcbnew to do the pcb layout. The design was produced with JLCPCB and after receiving the boards I tested them and they do work! The design files are here https://github.com/liu3hao/usb-uart-bridge. The circuitscript code file is here https://raw.githubusercontent.com/liu3hao/usb-uart-bridge/re... and the generated pdf from the circuitscript code is here: https://github.com/liu3hao/usb-uart-bridge/blob/main/usb_uar...
The motivation for creating Circuitscript is to describe schematics in terms of code rather than graphical UIs after using different CAD packages extensively (Allegro, Altium, KiCAD) for work in the past. I wanted to spend more time thinking about the schematic design itself rather than fiddling around with GUIs.
Please check it out and I look forward to your feedback, especially from electronics designers/hobbyists. Thanks!
I don't do a lot of circuit design, but I'm more of a visual person so I feel like I would be more likely to draw this in something like KiCad and then want to export it to this format to make diffs simpler.
How effective at circuit generation are LLM's with the language? I tried similar, and could get syntactically correct files, but the content always had errors: https://www.mikeayles.com/#tokn
What are your thoughts on atopile and tscircuit?
It's a lightweight screen recorder for macOS that lives in your menu bar. It's built with SwiftUI and ScreenCaptureKit, uses the native Content Picker to select what you record, and supports ProRes 422/4444, HEVC, and H.264 — including alpha channel and HDR. Frame rates from 24 to 120fps. System audio and mic simultaneously. You can also exclude specific things from recordings, like the menu bar, dock, or wallpaper.
No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac.
It's free-to-watch (with a voluntary donation model) on my site, but was made for the Big Screen, so I'm also planning a DIY pop-up cinema tour across Europe in the months ahead.
'Situated' here means that your permission schema & permission data live with your data, which has a number of benefits:
- one less network hop, so can be faster than Spice for typical workloads,
- one less distributed consistency & syncing problem,
- one less component to run in prod with full consistency,
- potential to implement ZedToken / Zookies via Datomix txid, and
- easy to test new schemas with in-memory Datomic.
EACL is plenty fast without a cache since horizontally-scalable Datomic Peers already cache datoms aggressively, but there is another 10-100x improvement in the pipeline. EACL is especially suitable to real-time multiplayer apps built in frameworks like Electric Clojure.
IMHO, EACL is currently the best-in-class authorization library in the Clojure ecosystem and is improving every week. ReBAC subsumes both ABAC & RBAC. I recently applied for Clojurists Together funding to improve cursors for intermediate resource traversal, which is the primary perf. bottleneck.
EACL was not "vibecoded" as all tests were written by me and all code is human-reviewed, but EACL would not be possible for a single engineer to build mainly in his spare time without AI assistance.
Docs with rationale: https://eacl.dev/
Laboratory.love lets you fund independent plastic chemical lab testing of the specific foods you actually buy. Think Consumer Reports meets Kickstarter, but focused on detecting endocrine disruptors in your yogurt, your kid’s snacks, or whatever you’re curious about.
Find a product (or suggest one), contribute to its testing fund, and get full lab results when testing completes. If a product doesn’t reach its goal within 365 days, you’re automatically refunded. All results are published publicly.
This project was inspired by Nat Friedman's PlasticList.org and we use the same ISO 17025-accredited methodology they did, testing three separate production lots per product (when possible) and detecting down to parts-per-billion. The entire protocol is open.
I just published new results today! Turns out Muir Glen's caned Fire Roasted Diced Tomatoes are incredibly low in plastic chemicals. Yay!
Browse funded tests, propose your own, or just follow along: https://laboratory.love
https://github.com/Fingel/gelly
I thought it would be pretty simple, but here I am almost 6 months later still adding features. The positive feedback has been nice, though! People seem to appreciate (like I do) that its fast and doesn't use Electron or some other cross platform toolkit. Learning a lot.
It's not vibe coded. Sad that I have to make that qualification these days, but here we are.
I've always noodled about this marketplace idea where an optimization algorithm could match your interests and a dollar amount you can afford to let you rent/buy artist's music. The optimization would maximize the purchase of the differently valued music(analogus to the weighted knapsack problem but this could have multiple solutions, knapsack is a nice way of thinking about it logically, in reality implementation may be completely different) based only on your interests, like history and dollars u have. I am wondering how might one apply a distributed systems approach without having music pirated and shotgunned all across the internet? Like how would you quickly match a person to all the available music metadata? How would you model for interest matching if the music library is spread out across multiple nodes.
I would imagine a lot of people are ok with paying 5-10$ a month instead of 15-20$ for music they like from a set of artists they like.
Vibe coding signifies a lack of control over one's own code and generally only if it's to generate ideas or throwaway. The negative connotation that goes with it is appropriate too.
In reality any project that takes 6 months means your have invested a lot of time thinking about the code, in which case LLMs become more useful for the things you care about e.g. maintainability, forcing LLMs to bend to your will, which is like saying: " I know this design is the best so just make this instead of whatever abstraction you think is better".
I have used LLMs to understand certain concepts and unfamiliar APIs. Gtk and Rust is actually a pretty funky combo.
Strong agreement
- Panicking error handling — both flag unwrap()/expect() on fallible operations (secrets, HTTP client, GStreamer). Kimi specifically calls out get_stream_uri returning String instead of Result, which I missed — good
catch.
- Excessive cloning — both note the Jellyfin client and string cloning. Kimi's phrasing ("host.to_string() on every request construction") is more specific than mine.
- Application struct overloaded — both agree it holds too many responsibilities. Kimi suggests splitting into LibraryService, PlaybackService, etc. I focused more on the RefCell exposure.
- Silent error suppression — both flag let _ = sender.send(...) and unwrap_or_default() patterns.
- Code duplication in UI — both identify the repetitive list/detail/sorter patterns. Kimi specifically calls out call_on_visible_page widget comparisons, which I grouped under the broader "5+ copies of factory setup"
observation.
- Missing HTTP timeouts — Kimi flags this explicitly. I noted it indirectly via the buffer_unordered without timeout, but Kimi is clearer.
Things Kimi caught that I didn't emphasise
- get_stream_uri returning String instead of Result — a genuine API design issue I glossed over.
- String-based signal names being error-prone with no compile-time checking — fair point, though it's idiomatic GTK4/Rust.
- glycin potentially unused — I didn't check dependency usage.
- Position polling not accounting for seeks — a practical UX observation I missed.
- /proc/sys/kernel/hostname read being cached in OnceLock — Kimi approves the caching but notes it could be done once at startup. Minor but valid.
Things I caught that Kimi missed
- Actual bugs — queue reorder off-by-one, playlist DnD index error, toast format string "HTTP {} error" never substituted, double-wrapped Result in stream_info.rs, reversed comment in shuffle logic. These are concrete
defects, not just style issues.
- Concurrency issues in depth — the Cell<bool> shuffle state race, futures::Mutex inside glib::spawn_future_local deadlock risk, queue mutation race between remove_all() and extend_from_slice().
- Signal handler accumulation on widget reuse in ListView factories — a slow memory leak.
- Main-thread blocking from synchronous library filtering in detail views.
- Image cache with no eviction — unbounded disk growth.
- bytes_to_texture panicking inside a Result-returning function — defeats the entire error contract.Not everyone is paying for LLMs, even now. So I think it is perfectly reasonable to assume good intentions, here.
Someone spent their own tokens to ponder your code and thought they'd share the result. For anyone else looking, like me, I can see that this is probably going to come up relatively clean without having to spend my own tokens, or install it, and I'm more likely to, now that I can see that.
This is fascinatingly psychotic - but for your own good you might want to shut down the agents for a bit and take a walk.
Instead of another social network, it’s a bundle of small, practical community tools under one umbrella, combining of the shelf-software with purpose-built projects of our own.
Our current areas of focus are
- help! a neighbor-to-neighbor help board (rides, errands, PC help, garden/handwork)
- hubs! for shared spaces / tool-sharing / events / social hubs
Right now I’m building the integration surface (claims, roles, provisioning), polishing onboarding, and trying to design help!/hubs! so they’re useful even with low activity.
If anyone’s done (hyper-)local community platforms: I’d love to hear what actually drove adoption and what did not work out for you.
I’ve been shipping AI-written code for 2 years now. I can build something amazing in 40 mins but then spend 4+ hours debugging because the agent has no idea how the libraries it’s calling actually work. Docs are stale, StackOverflow is dead, training data is outdated. Every engineer I talk to has the same problem.
So I built Instagit, an MCP server that lets your coding agent understand any GitHub repo in depth so it can get it right on the first try. Works with Claude Code, Codex, Cursor, OpenClaw, etc.
No API key or account needed to try it out. Just need to share these instructions with your coding agent to get started:
curl -s https://instagit.com/install.md
It’s not really meant to query your own code base (Claude Code already does a great job at that) but more to explore other code bases you want to integrate with.
- Use a static website generator (I use Astro but there are others) where the agent can fully control every aspect of the website
- Use skills to enhance the prompting, like this frontend-design one but can also combine it with copy writing/seo skills etc
- Give the agent control access to the browser to give it visibility into the result in order to iteratively improve upon it
- The last thing is to just be very demanding and setting a high bar, so ask for animations and ask the agent over and over again “ok and now let’s improve what you just did”
I've been working on an internal linking tool that actually understands your content, instead of just matching keywords.
The problem: Manual internal linking research doesn't scale. You grep for keywords, miss semantic relationships, and end up with orphan pages that never rank.
The approach:
- Crawl → Extract → Vectorize → Cluster → Score
- Build a link graph showing actual internal link structure
- Use semantic similarity to find content relationships
- Prioritize by: relevance × page authority × orphan status × implementation effort
- Output exact placement with anchor text suggestions
- Keyword matching finds ~60% of good opportunities; semantic analysis catches the rest
- Most sites have 20-30% true orphans (no inbound links)
- Anchor text optimization is the #1 thing people get wrong
You'll get the full internal linking report (complete analysis, not a limited demo) in exchange for feedback.
Comment below or email me, if you want in.
https://www.mikeayles.com/#zookeeper-wip
It lets you take photos of all the animals you see to collect them, when you 'capture' a new animal, it gives you fun facts about them.
I seeded it with UK zoos, but there's no reason it can't work elsewhere.
It was built because the signage at a zoo we went to was terrible and we had no idea what some animals were, so it matches your photo with the list of animals to the best of its ability.
not sure if someone needs it, but very helpful for me )
For me, it started when I spent a year and a half reading and digesting books for and against young earth creationism, then eventually for Christianity itself (its historical truth claims). It struck me that the books were just a serialization of some knowledge structure that existed in the authors’ heads, and by reading I was trying to recreate that structure in my own head. And that’s a super inefficient way to go about this business. So there must be a shortcut, some more powerful intermediate representation than just text (text is too general and powerful, and you can’t compute over it… until now with LLMs?)
That graph felt a lot like code to me: there’s no unique representation of knowledge in a graph, but there are some that are much more useful than others; building a well-factored graph takes time and taste; graphs are composable and reusable in a way that feels like it could help you discover layers of abstraction in your arguments.
I do think there's quite a lot that could be done with LLM assistance here, like finding "duplicate" candidates; statements with the same semantic meaning, for potential merge. It's really complicated to think through side effects though so I'm going slow. :)
Nurture this, it will become a great tool in the belt for a lot of people
I'm considering using a Neo4j self hosted instance for a project, but having only played around with it in low-stakes + small-data toy projects, I'm not really familiar with the footguns and failure modes...
All that aside, plugging holes in a sinking database for six months because you can't come to a descision does not sound like a fun time :D
I'm also a sucker for serif fonts so points for that.
What if you could sell the data for each argument? That might be valuable to LLM labs, because then you can essentially guarantee that every single argument you provide is human checked, and you could accumulate a large DB of those. Of course you'll never be able to capture every single argument possible, but it's rather a mechanism that would allow incremental improvement with time. But codifying logic and natural language is a very nice idea.
I am interested in seeing a personal version of this. Help people work out their own brain knots to make decision-making easier. I'm actually decent at mending fences with others. Put making decisions myself? Impossible.
I've actually had a lot of fun hooking it up to LLM. I have a private MCP server for it. The tools tell it how to read a concludia argument and validate it. It's what generated all the counterpoints for the "carbon offset" argument (https://concludia.org/step/9b8d443e-9a52-3006-8c2d-472406db7...) .
And yeah... when I've tried to fully justify my own conclusions that I was sure were correct... it's pretty humbling to realize how many assumptions we build into our own beliefs!
it comes with a suite of tools (multi-agent tools to do search over many docs, RAG out of the box, prompt generation per section to reduce context drift, granular AI steerability, structured block generations for 100+ page reports ect.)
https://www.inclusivecolors.com/
Unlike most tools based around autogenerating colors, this is more of an editor that lets you fully customise all the tint/shades to your liking with a focus on accessibility. This is important when you've got existing brand colors to include and want to find accessible color combinations that work together.
Would love feedback in general and especially from designers/devs who have different needs in how they go about creating branded palettes!
Thanks! Any problems you've found with this approach or it's usually good enough?
For me, I couldn't find a tool that would let me customize multiple color scales at once, check they look good together on a mockup, and also be accessible. It's one of those problems where you can autogenerate something that gets you most of the way there, but then for it to be usable you need need to see how it looks on designs and fine tweak it.
Barely any designers I work with know about P3 colors (feels like P3 mostly appeals to developers right now, for programmatic reasons?), so I'm not that interested in P3 if it means using OKLCH with its intimidating looking color picker. My tool uses HSLuv, which looks familiar like an HSL color picker, where unlike HSL only the lightness slider alters the WCAG contrast, so HSLuv (while limited to sRGB) is great for exploring accessible colors.
I've actually got support for APCA, but I find many struggle understanding WCAG contrast requirements already. There's Figma export too.
Anyway, there's lots of overlap between different color tools but the small details are important for different workflows and needs. I've started to realise too that most designers need a lot of introduction into building (accessible) color palettes in general so it's a tricky puzzle between adding features and trying to keep it simple, which is why I'm very open to suggestions!
Each game adds more building blocks to the editor: multiplayer, event systems, NPC behaviors, pathfinding, etc. I build a system once, and then anyone using the editor can use it in a click. For game logic, I recently added a visual event system I’m really excited about. It’s kind of like Unreal Blueprints, but focused on 2D. You pick a trigger, wire conditions, and chain actions in a node graph [1].
Big challenge right now: most people who want to make games needs assets, and don't know how to get/make them. So I’m building a marketplace where pixel artists can upload tilesets/characters, and unlike itch.io, assets are usable directly inside the engine. No ZIP downloads or import setup, just browse and drop into your game. A preview here[2].
Also, if you want to use the editor but ship elsewhere, you can export terrain, animations, and hitboxes to Godot 4. Nothing is locked in.
The engine/editor is at https://craftmygame.com if anyone wants to poke around! And you can test a games here[3][4], and 1 multiplayer game I've tested IRL in a bar [4]!
[1] https://youtu.be/8fRzC2czGJc
[2] https://www.youtube.com/watch?v=hScOK_naYnk
[3] https://craftmygame.com/game/e310c6fcd8f4448f9dc67aac/r/play
Can you recommend any cause to make using Claude Code.
Claude Code can genuinely help you with: - Scaffolding a game project (Phaser.js is great for web devs getting into 2D) - Writing boilerplate: input handling, collision detection, basic physics - Debugging weird edge cases in game logic - Generating utility code like sprite sheet parsers, tilemap loaders, etc.
What it can't do (and where most beginners hit a wall): - Game design. Knowing what makes a game actually fun is a skill Claude can't shortcut. You need to playtest, iterate, and develop taste. - Art and assets. This is the #1 blocker for most solo devs. Claude can't draw your sprites or design your tilesets. - Feel and polish. Tweaking jump curves, screen shake timing, hit feedback — that's all manual iteration. AI will give you "technically correct" values that feel lifeless. - Architecture decisions. Claude will happily generate an ECS system or a scene manager, but it doesn't know your game's actual needs. Bad architecture early on will cost you weeks later.
Start with a tiny scope (like a single-screen platformer), use Claude Code to move fast on the code side, but spend most of your energy on the parts AI can't help with — design and feel.
Also, shameless plug, if you want to skip the code entirely and just focus on making the game, that's what CraftMyGame is for. Everything is visual, no coding needed. Might be a good way to prototype ideas fast before deciding if you want to go deeper on the code side ;)
https://threeemojis.com/en-US/play/globs
It was inspired by 2025 by thomaswc, a 45x45 connections-like puzzle. Globs jumped off from there and it's been very fun to make. I have AI generating the puzzle groups and it keeps surprising me everyday with what it comes up with. I've got demos up for over 20 different languages, and many different sizes of puzzle. Just recently, I got the puzzle to be generated daily for American English, British English, High German and European Spanish. It can also do custom theme puzzles like the following:
Big YC https://threeemojis.com/en-US/play/globs/en-US/demo?size=big...
Jumbo HN https://threeemojis.com/en-US/play/globs/en-US/demo?size=jum...
There is still some bugs I am tracking down (open the page in a private browser if you hit stale data) but the game has really come together lately and been a lot of fun, I hope you all like it!
It's an infinite canvas that runs SQL.
I've been working with data my entire career. I feel like we need to alt+tab so much. What if we just put it all on a canvas?
Currently very WIP, but there's a simple titanic demo available!
Built with tldraw and duckdb wasm, running on cloudflare durable objects
We were using it at work (transitioning to Metabase); it's great for exploring and debugging and prototyping but it ends up too much of a tangled spaghetti mess for anything long-term. Would not recommend for user-/other-company-departments-facing reports or dashboards.
With Kavla I want to lean into the exploring/debugging phase for analytics. "Embrace the mess", in a way.
My vision is that there will be an "export to dbt" button when you're ready to standardize a dashboard.
What made you pick count? Was spaghetti the major reason you left count, or something else?
We wanted to migrate (to Streamlit, back then) to have the SQL not live locked in a tool, but inside our git repository; to be able to run tests on the logic etc. But the spaghetti mess was felt too, even if it wasn't the main reason to switch.
(But then, 1) some team changes happened that pushed us towards Metabase, and 2) we found that Streamlit managed by Snowflake is quite costly, compute-time wise. (The compute server that starts when you open a Streamlit report, stays live for tens of minutes, which was unexpected to us.)
----
Export to DBT sounds great. Count has "export to SQL" which walks the graph of the cell dependencies and collects them into a CTE. I can imagine there being a way to export into a ZIP of SQL+YML files, with one SQL file per cell.
Great take on the SQL lock in, that's something that I need to think hard about. Ideally a git integration maybe?
Kavla also traverses the DAG, psuedo code:
deps = getDeps() // recursive
for dep in deps:
if dep is query:
run: "CREAT OR REPLACE VIEW {upstream} AS {upstream.text}
if dep is source:
done
Thanks for making me think about this!
In my job I always end up with big notebooks of data exploration that get messy fast and are hard to share anything but the final result, having a canvas that embraces the non-linear nature is a great idea.
Aside from the non-linearity, what key features would make you use Kavla instead of a notebook?
What resource(s) are you using for learning SQL and DBA concepts?
I haven't really thought about Kavla as being a learning environment, maybe you are onto something!
Is that something you're doing? What pain points do you have as interviewer with existing tools?
You can try the editor here (no signup required): https://app.breadboards.io/playgrounds/weather
And here is a live app exported from it: https://late-cat-2043.breadboards.app
A beginner-friendly programming language for 2D games where multiplayer is automatic. Intended to be an engaging way for teenagers to learn to code by making games they can play with their friends. Like a blend of Scratch and Roblox. I've been working on this for 3 years!
Supports VS Code, Neovim, IntelliJ/JetBrains Family, Zed, etc.
About to do the first beta release this later this week.
The protocol is "srcuri" (pronounced, "Sorcery")
This site is: https://srcuri.com/
Source code: https://github.com/browserup/sorcery-desktop
I did post about Emilia a few months ago... now I have a domain https://meetemilia.com/
The basic idea is that you give Emilia knowledge about your family and friends, and then you can ask her questions or (eventually) get reminders.
I was motivated during an extended family gathering where I completely blanked out on the names of the partners of some of my cousins. I felt awful... trying to hide the fact that I didn't remember their names.
Now the names and who they are etc is there in Nonna Emilia, and through natural text I can ask questions like "what's the name of all the partners of my cousins on the side of my dad's family?" or something like that.
I am looking for alpha users. The service has legit helped me a few times already remembering stuff, but the amount of work to input all this data still bothers me.
Anyway, it's free. If you want go ahead and try (bugs here and there I bet, and you need a Google Account) and shoot me an email at inerte@gmail.com if you have any comment.
- https://github.com/rumca-js/Internet-Places-Database - map of the Internet domains
- https://github.com/rumca-js/Internet-feeds - database of RSS feeds
- https://github.com/rumca-js/yafr - very simple RSS reader
- https://github.com/rumca-js/crawler-buddy - crawling project
- https://github.com/rumca-js/Django-link-archive - another RSS reader
Hi HN, I built this because I got tired of fighting with integrating payments in Africa.
M-Pesa processes over $300B annually, it's how 50+ million people in Kenya pay for everything from groceries to rent. People don't have bank accounts, but rather pay straight from their cell phone nummber. But integrating it into your app? That's a different story. Most developers spend weeks on what should take hours, it's almost impossible. And existing solutions for Mastercard, Paypal, Apple Pay etc are useless because most don't have bank accounts.
Micropay is essentially what Stripe did for credit cards, but for mobile money.
The end game is no/low touch weekly meal plans send directly to your inbox, with meals you love to cook but with none of the hassle around planning the meals, shopping list etc (which I spend hours doing every week).
An important feature for me was improving the recipe discovery experience, you can build a cookbook from chefs you follow on socials (youtube for now), or import from any source (Web, or take pic of cookbook etc) - it then hastight / easy integration into recipe lists.
Utilising GenAI to auto extract recipes, manage conversions, merge/categorise shopping lists etc - as-well as the actual recommendations engine.
If anyone is interested in beta testing / wants to have a chat I'll look out for replies, or message mealplannr@tomyeoman.dev
I would really like people to try it out and report bugs, failures, and successes.
https://github.com/Vibecodelicious/opencode/blob/surgical_co...
I'm currently trying to get the LLM to be more proactive about removing content that is no longer useful in order to stay ahead of autocompaction and also just to keep the context window small and focused in general.
I did some experiments by exposing the raw latent states, using hooks, of a small 1B Gemma model to a large model as it processed data. I'm curious if it is possible for the large model to nudge the smaller model latents to get the outputs it wants. I desperately want to get thinking out of tokens and into latent space. Something I've been chasing for a bit.
As an aside, 95 pages into the system card for Claude Opus 4.6, Anthropic acknowledges that they have disabled prompt prefill.
As far as I understand, it's caches are not a "next-turn" thing, but a ttl thing.
I made the "retrieve" tool, which is what pulls back previously removed content, append to the conversation rather than putting it back where it previously was. But it's a but premature to really know if that's a real optimization.
This is part of a small hobby where I try to recreate aspects of old games myself to see how I would implement them. I eventually hope to have the skills to create the kind of game I miss playing when I was a kid 30 years ago.
Some stats so far:
- 200 users
- 378 startup jobs
- 500+ posts
- 2800+ funding rounds
- 1700+ startup companies
- 5000+ investors
The next part of the project is Tech Posts Intel: a lead gen tool using statistical methods to predict which companies should have a funding round coming soon. I'm hoping to soft launch it this week.
I'd love to hear anyone's feedback on the website. Advice on how to get inbound links in 2026 would also be greatly appreciated!
It wasn't until we had a leadership retreat at my day job with a fantastic speaker (Woodrie Burich) that the idea for my platform spawned. She talked about how the $50B wellness industry is doing it wrong. Your company is giving you useless yoga stipends, when truth is they should be paying attention to your overall well being. One idea she presented that resonated with me was using a traffic light-like system to gauge where your employees are mentally at.
I took that to heart and verbally applied it to my team. Then I realized that a platform would give better visuals of the data and be easier to incorporate into everyone's day to day. A couple months later I finally released it.
Not saying I have answers to these, but thanks for trying to move the needle the right way.
Tech I'm using: Sprites, Cloudflare Workers, SQLite, Litestream, React SSR
With something like subreddits, people congregate because of a common interest. There's a clear topic on what people should be chatting about.
I don't know how far you'll get slotting a bunch of strangers with no clear direction on the topic.
How does the island hoping work? I don't see a "Change island" button. I'm assuming it's because there's only 1 island right now?
At work I sometimes download the same file multiple times to my machine and have to go through my downloads folder and manually remove the duplicates, so this is something I built to speed up the process of doing this.
https://github.com/jconvery1/hydra
I've found it quite useful.
From what I can tell, your program treats files as duplicates if they share the same normalized filename and the exact same size; it doesn’t compare contents or hashes.
Mine samples bytes at specific positions, hashes those samples, and compares the hashes to produce a similarity score rather than a strict match. This works great for photos, two shots taken in the same second can differ slightly in pixels but still depict the same scene, so they’re considered duplicates. It also normalizes image orientation by rotating based on the brightest corner, so photos in different orientations are compared using the same features.
Given the time it'd be cool to try single threaded vs parallelism (rayon) on larger datasets and compare the performance.
Nice work on your tool, sounds like you've put a lot of consideration into it.
On January 11th, Google and Shopify announced the Universal Commerce Protocol (ucp.dev). It's an open standard that lets any application query products across e-commerce platforms without needing APIs, integrations, or middlemen. AskUCP is one of the first applications built on it.
Right now, if you want to buy something online, you have to know which store sells it. You go to Amazon, or you go to a Shopify store, or you go to Etsy. Each one has its own search, its own interface, its own checkout. The experience is fragmented because the infrastructure is siloed.
UCP changes this at the protocol level. If products are described in a standard format, any application can discover them. You don't need permission from each platform. You don't need to build integrations. Anybody or any AI agent just querys the protocol.
AskUCP is designed to be a single pane of glass into online commerce. You search once, and you see products from across the ecosystem. Currently, that means the entire Shopify catalog. As more platforms adopt UCP, their products become explorable too. Eventually, it should be everything.
This is a proof of concept. It's early, and there are rough edges. Let me know what you think, refinements, ideas etc etc.
Specifically its a remake knowing what we know now having finished the two trilogies.
Instead of the three hands and the moving needle, its just one moving needle. Its made from wood and aluminium. The reason for aluminium is that in the 1920s (roughly the age that these books are set) is a wonder material, a bit like carbon fibre/titanium is now.
I have the working mechanism (controlled by 8mm steppers) I need to finish the case and dial, and paint it. I also need to shrink the controlling mechanism and design the voice->text->inference->output to 36 symbols logic.
A high-performance 3D game engine and editor in Rust. It has the ability to deploy to WebAssembly and WebGL2, delivering console-quality visuals and near-native performance right in the browser.
Currently building a multiplayer cozy farming game, inspired by Animal Crossing. Reach out to our discord if you are interested in learning more: https://discord.com/invite/mHsQayQNdp
I often have ideas, then spin cycles on starting the project, getting auth in place, making a marketing page, doing SEO, building and configuring pipelines for mobile app release, etc, etc.
My project builder just takes a name, a few configuration options (do you need payments? Analytics?) and spits out a templated build with Terraform that I can 1 (okay maybe 3) click deploy to GCP + App Stores.
The nice thing (I got help with Claude Code) is that now all my projects are in one place, I have a dashboard where I click in to and edit the code (with hot reloading - it deploys code-server and the applications in a small Kubernetes cluster, each project has its own pod) and when I am done editing I just click Deploy and it updates the "production" service in Cloud Run.
Not really interested in selling it as a service or anything (it's a bit too opinionated for that), but it's a very fun project to work on. I need to make Git + Versioning of the code work right now you only have a single copy of the code which isn't great!
https://www.mikeayles.com/#phaestus-wip
It is capable of creating a PCB (and outputs gerbers, bom, pick and place files), an enclosure (written in SCAD, outputs an STL for printing), and firmware, which it's able to compile using a pio runner on railway and provides a binary, but also has a webserial flasher for ESP32's.
There is a blog here, but i've been focussing on getting things finished, as I built it for a hackathon ending today.
I need to update the blog & writeup, because I have the first product it created, a bluetooth remote control. It wasn't without issues, but I have a working PCB, in an enclosure that was printed from it's design, running firmware it generated.
Targeting long running multimodal agents, think I tick most of the boxes in the brief!
How Home Alone My House - A fun app I'm making with my children using computer vision. The idea is I can scan the room with my camera before unwittingly walking into their traps and becoming a hapless adult who didn't pay close enough attention to tripping hazards and choke lines.
I train BJJ and kept hearing the same pain points from academy owners regarding attendance tracking, communications, missing payments, etc.
So I built a tool for martial arts academies in 2024 with belts progression, automated payments, attendance tracking, and a tablet check-in system. Nowadays I'm still onboarding new academies every week and working a bit more on the marketing side to keep growing.
It’s a beta, but already works well on desktop and makes it easy to explore musical neighborhoods and discover new artists by traversing the graph.
Here's the link in case you wanna find some new music to listen to, or look at the artists you know and love in a different light - https://overtone.kernelpanic.lol
Feedback welcome — especially on UI/UX and scalability limits.
It’s a tool that leverages your drm free ebooks to help manage your book clubs. The epub file offers more rich info such as:
- word counts per reading
- chapter selection
- the ability to highlight sections and share
- ai summarization and spoiler free discussion about the contents of a given reading
I use it for my own book club right now. I doubt I’ll be able to monetize the app due to the need for drm free epubs which is a pretty high barrier for entry to most non-technical users.
My long term plans would be to have an agent help readers learn hand in hand while reading. I’d like to have the agent facilitate deeper analysis by prompting the users and clubs with questions that encourage more critical analysis of each section. I’ve been building all the infrastructure for running the club so that’s the next more interesting step I haven’t explored yet.
I was hit by a big wave of depression last year. That crisis gave me a couple of periods of hyperfocus, and I thought I might as well use them to try to improve my mind and my ability to reason.
I haven't had good results learning certain subjects, like CS/math, with Anki or other flash card systems. The only thing that ever seemed to work for me was doing a lot of problems with pencil and paper. But without problems exercising those tools or techniques, they tended to just evaporate from my mind.
So my idea was to combine spaced repetition and problem presentation, and create a system for generating problems and validating their solutions randomly and parametrically. So successive presentations of the same card would present a different problem... and the overall effect would hopefully be that you learn the invariants that each card is trying to present, instead of memorizing some combination of variables and values. Sort of MathAcademy but for CS.
I _think_ it's feature-complete at this point, though I'm still working on validating and publishing cards (and there are a couple of things I wanna do to improve security). I'm pretty early in the dogfooding process, and I'm still the only person using it, and there are definitely bugs. But if anyone would like to try it out, I'd be delighted to hear your feedback (email in profile, also on site). Just maybe go a little easy on me right now, lol :/
The Boolean Logic and Lambda Calculus subjects are free forever, and the first topic of each other subject is also free, so if you're intrigued you can use it for quite some time (literally months) before even needing to provide an email address. No need to pay for anything.
Most stacks today keep orchestration in Python/TS and treat the model like an API. VVM inverts this. You write a `.vvm` program, paste it into an agentic session with the spec, and the model simulates the VM and executes your program. This is configured via a plugin, no SDK or build step required.
```
agent researcher(model="sonnet", skills=["web-search"])
agent writer(model="opus")
papers = @researcher `Find recent papers on {topic}.`(topic)
# semantic predicate — semantic if condition
if ?`sufficient coverage`(papers):
report = @writer `Synthesize findings.`(papers)
papers = @researcher `Expand search.`(papers)
```
It's open source and current runs as a Claude code plugin and the repo includes 37 examples from basic agent calls to advanced patterns that showcase building resilient workflows.
Still pre-alpha -- the spec is fairly complete, but tooling is early. Mainly looking for feedback from people building agentic systems who've felt the impedance mismatch between imperative code and what agents actually need.
Soon will add readme and syntax highlighting for zig itself (was too scared to deviate from C guide lol)
- After Actions (https://www.afteractions.net/) - The company I work for pays for retrospective software, and I figured I could make my own. So I did! Good for agile retrospective ceremonies
- Data Atlas (https://www.data-atlas.net/) - Right now, it's a basic JSON Schema form builder with a UI on top, but I intend to expand it and improve it to be more than that this year.
I've been working on a BuddhaBoard-like app and a few other projects, but nothing I'm prepared to share right now. Maybe next month :D
Right now I’m struggling to beat a baseline LightGBM model trained on hand-engineered expert features. My attempts at using a win probability head on top of nanoGPT, treating events as tokens, have been significantly worse. I am seeing about 65% accuracy compared to the LightGBM’s 70%. That 5% gap is huge given how stochastic the early game is, and the Transformer is easily 4 OOM more expensive to train.
To bridge the gap, I’m moving to a hybrid approach. I’m feeding those expert features back in as additional tokens or auxiliary loss heads, and I am using the LightGBM model as a teacher for knowledge distillation to provide smoother gradients.
The main priority here is personalized post-game feedback. By tracking sharp swings in win probability, or $\Delta WP$, you can automatically generate high or low-light reels right after a match. It helps players see the exact moment a play was either effective or catastrophic.
There is also a clear application for automated content creation. You can use $\Delta WP$ as a heuristic to identify the actual turning points of a match for YouTube summaries without needing to manually scrub through hours of Twitch footage.
Are you playing competitively (league play, tournaments)? Or just passionate about the game?
I've decided to do it simply because of my grandmother: she dislikes bracelets and smartwatches because they’re uncomfortable and she often forgets to wear them. A contactless device could be much more practical for her and for many people like her.
username at gmail if you want to chat
I've been building https://photoweather.app because I never end up having time to look at weather forecasts, which means I also don't go out with my camera enough since outdoor photography is quite a weather dependent activity.. so I'm trying to turn this around by having the app tell me when and where I could be photographing instead.
It's a bit of a challenge for sure, weather forecasts are not always the most reliable, not to mention learning enough about weather to forecast photographic opportunities.. but it's also been really enjoyable to finally build something real and something that I myself actually use all the time.
Added summaries so readers can quickly see if it's worth reading the entire article e.g. https://engineering.fyi/article/towards-self-driving-codebas...
I'm one of the maintainers of PGlite - PostgreSQL in WASM.
We have lots of updates in the pipeline, just listing some of them:
- making it easier to upgrade PostgreSQL's version
- PostGIS - this is one of our most requested extensions and although we have it running server side (ie node, bun, deno) Chrome is holding us back from releasing it
- multi-connection multiplexing over a single instance
Native library is also on our radar, just needs more time...
I'm expecting my first child soon so I am building it for me and my family first but if it solves a problem for me, maybe others will like it!
The basic idea is that you are uploading a curated set of photos you want to share, not your whole camera roll.
You can create one or several family groups that you can share individual photos or albums to. Members of those family groups can view, comment on, like, etc those photos.
You can also generate sharable links for people who don't have an account with a configurable expiry time.
It currently more or less works on the web but I am also working on iOS and Android apps since that is how my extended family would want to interact with it.
I'm not quite ready to launch it to the public but if anybody is interested in trying it out or offering feedback I can privately share it :)
I've been noodling with running a preprocessing step to "tag" pictures and videos with a set of tags with richer spatial and temporal features with off the shelf models and then just let a local AI model pick one based one what might match today's theme.
Are you using any models to make your curation step easier/better UX wise? e.g." Compose all Christmas pictures with Grandma and the kids on vacation" and it would give you a collection to curate from my library
Rather than me scan all of the photos I'd prefer the user manually select them. Plus, you get the bonus feature of also getting to review your own photos again :) I find a lot of the time I never go back and look at photos I take. I'm trying to evoke feelings of printing photos and putting them in an album. Digital is no substitute for physical, but if I can get close I'll take it haha
I am considering some ease of use features like library scanning / tagging maybe on an opt-in basis perhaps.
Since the ShowHN thread, I received more than 40 individual game submissions!
To give more exposure to some of the games launched during the week I also launched a newsletter. Feel free to check it out if you want to learn more about games shown over the week :)
You tap in what ingredients you’ve got, add a time limit + a couple of preferences, and it gives you 3 genuinely doable dinner ideas with step-by-step recipes (no “manage your pantry”, no endless scrolling).
It’s early, but people seem to like the “use up what you’ve got” angle. Feedback very welcome.
Took photos of the fridge and pantry and asked the AI to identity all the food and create recipes.
The problem: if you use multiple AI tools (Claude, ChatGPT, Cursor, etc.), none of them know what the others know. You end up maintaining .md files, pasting context between chats, and re-explaining your project every time you start a new conversation. Power users spend more time briefing their agents than doing actual work.
Memory Store is an MCP server that ingests context from your workplace tools (Slack, email, calendar) and makes it available to any MCP-compatible agent. Make a decision in one tool, the others know. Project status changes, every agent is up to date.
We ran 35 in-depth user interviews and surveyed 90 people before writing a line of product code — 95% had already built workarounds for this problem (custom GPTs, claude.md templates, copy-paste workflows). The pain is real and people are already investing effort to solve it badly.
Early users are telling us things like one founder who tracked investor conversations through Memory Store and estimated talking to 4-5x more people because his agents could draft contextual replies without manual briefing. It helped close his round.
Live in beta now. Would love feedback from anyone who's felt this pain! :)
After one year of development, it's going better than I expected, so I'm considering building a demo to gather feedback and see if there's enough traction for working towards a Steam release.
Even if that's not the case though, it's been a blast learning about game dev in Unity/C#, as well as 3D modeling and animation in Blender!
What I do instead is to transform a procedural plane mesh into wave-like geometry. For added realism, I base this transformation on bathymetry data (ocean floor height), so you can get left/right breaking waves, different breaking sessions, etc, just by defining different heightmaps.
In my game the waves start, break and end, with different sessions and hollowness, so there's more wave reading involved. Also the focus is on being able to stay on the wave and generate speed, doing cutbacks, snaps, off the lips, etc.
Envelope budgeting (the method) works by allocating money up front so future obligations are actually covered before spending happens. But the hard part is handling income timing and paycheck variability without overfunding the future.
Anyways, I’m currently adding a cash flow detection algorithm to Envelope (the budgeting app) https://envelopebudgeting.com that only allocates paychecks to obligations before the next paycheck unless future funding is strictly required. That approach has avoided a lot of timing edge cases I kept running into.
Different RSS clients provide different filtering options, and lots of them limit you to a few keywords and/or put them behind a $7-12/mo subscription. I'm building Sponder so you can curate what you see, and it just presents another RSS feed, so you can keep using your favorite client but fill in the feature gaps.
Right now it can merge and filter by string or regex, and next I'm building (because it's what I want) history replay and smarter podcast rerun detection. it's new and I'm very open to feedback and feature requests.
Currently it has:
- Accurate recreation of Windows shell with start menu, taskbar, windowing system.
- Full desktop themes customization (color, cursor, sound, wallpaper, screensaver). All Win 98 default Plus! themes are included.
- Persistent local file system & mounting local folder as removable disk with ZenFS.
- Support playing Flash games and run DOS games (save game persisted). Yes, you can play Doom and copy your savegames to continue.
- Some accurate remakes of Windows 98 apps, some made by me (Solitaire games, Minesweeper, Notepad) some are existing ports (Pinball, JSPaint, Webamp, etc).
- Some other fun stuff
If you're interested in Windows 98, this is for you. You're also welcome to contribute or fork it to create your own version: https://github.com/azayrahmad/win98-web
Impeccable.
The idea is you take a book you want to read, and it gets translated but also rewritten to match your current learning level. And as you read/listen it introduces new words to learn, reinforced by spaced repetition.
We're taking a trip to France this summer and I'm hoping to have something usable for at least a couple months before we go.
Currently working on the mechanics of extracting content from ebooks.
Not anywhere near production-ready yet but if this is up your street and you want to contribute then I'd be grateful! I have the back-end stuff well under my belt but I'm allergic to javascript and my CSS skills are pretty limited also.
Also in the works down the line: a simple document management system (another Django app, probably) that allows basic but ISO-compliant document control (centralised access controls, automatic document-numbering, review/approval and draft/issue processes, configurable document indices, etc.) aimed at SME or contractor use. Everything else I've tried in this category of software is either abandoned (or otherwise stuck with a tech-stack from nineties), active but a PITA to ensure ISO-compliance, or hugely over-complicated (i.e. ideal for a big corpo but too much admin overhead for an SME) so I'm brewing my own that aims to meet the minimum feature-set needed for easy ISO-compliance.
The problem: agents like OpenClaw can read your email and post to Slack. Nothing stops Email A's content from leaking to the wrong recipient, or PII from ending up in a Slack message. Current "security" is prompts saying "please don't leak data."
The fix: fine-grained data access (object-capabilities) + deterministic policy (information flow control). If an agent reads sensitive data, it structurally can't send it to an unauthorized sink. Policy as code, not suggestions.
Got a working IFC proof-of-concept last week. Now building a secure personal agent to dogfood it.
What integrations would you want if privacy/security wasn't a blocker? What's the agent use case you wish you could trust?
Current work has been improving boot time. Was nearly two minutes because of one board, and that's a long time for the lights to be out if you have to reboot during a show. I'd wanted to use buildroot to get a custom kernel that should boot much more quickly, but the buildroot learning curve was steep for me, particularly as I've no expectation of ever needing the knowledge again.
Independently but concurrently I decided I really ought to understand what all this AI stuff was about, for fear of getting left behind. That coincided with the release of opus 4.5, and holy heck has it made a difference! With a little guidance from me Claude got the buildroot environment working and the boot time down to less than 10 seconds. I've been _really_ impressed. I've had Claude write a few boring utilities that I could easily have done but Claude managed much faster and with less boredom on my part. Fortunately for my AI revolution I think I'm a better Business Analyst/writer than I am a coder, so it fits with my temperament.
Over two decades ago I was diagnosed with high blood pressure (for which am I have been on meds for about 15 years). I also have low platelets (red blood cells, basically means that I bruise easily and that small cuts don't heal fast). At any rate, I do blood tests on a regular basis to keep things in check. I have been keeping track of test results, weight and blood pressure result for nearly 20 years, but the data lives in a text file on my desktop. I wanted to build something more substantial for this for quite some time now, so, this is it.
The second bubble there is a tool for 3D visualization and analytics of Claude Code sessions. The sample conversation is the one that made the tool itself!
That was a fun toy I learned a lot from. I’m not expanding that but am working intensely on the first bubble:
thinkt a CLI/TUI/Webapp for exploring your LLM conversations. Makes it easy to see all your local projects, view them, and export them. It has an embedded OpenAPI server and MCP server.
So you can open Kimi and say “use thinkt mcp to look at my last Claude session in this project, look at the thinking at the end and report on the issues we were facing”.
I added Claude Teams support by launching a Team and having that team look at its own traces and the changing ~/.Claude folder. Similar for Gemini CLI and Copilot (which still need work).
Doing it in the open. Only 2 weeks old - usable, but early. I’m only posting as it’s what I’m working on. Still working on polish and deeper review (it is vibe-crafted). There’s ergonomic issues with ports and DuckDB. Coming up next is VSCode extension and an exporter/collecter for remote agents.
It started as a small attempt to stop bouncing between dozens of web tools for things like JSON/JWT, base64, regex testing, cron expressions, and similar “glue work” tasks. Over time it’s grown into something I keep open all day.
Since the last time I mentioned it, I’ve added quite a bit: • ~40+ tools now (regex tester, PDF merge, image conversion, cron builder, etc.) • workspaces for grouping tools around a task • tool chaining instead of constant copy/paste • snippets, history, and recent items • automatic detection (paste data, it routes you to the right tool)
It’s an Electron app and runs fully local. No accounts, no tracking, no sending data out. The goal isn’t novelty, just reducing friction in everyday dev work.
I’m still smoothing rough edges and figuring out where this is most genuinely useful. Curious how others here think about scope creep vs. “daily driver” utility tools, and what’s worked or failed for you in that space.
I’m working on tabularis, a lightweight desktop database management tool designed for developers. It provides a modern interface for managing MySQL/MariaDB, PostgreSQL, and SQLite databases through a native desktop application. Built using Tauri v2 (Rust backend) and React 19 (TypeScript frontend), it offers native performance while maintaining the flexibility of web technologies.
7DTD is built on Unity Engine and modding is mostly done with XML/XPath and C#. I have yet to install Unity. I have a CLI setup, including a script to disassemble relevant 7DTD assembly DLLs into C# and copy other info from XML files into a directory in my repo.
This "refs" directory has about 800k lines of C# code and 300k lines of XML. Claude can figure out how to add a feature or fix a bug with a few minutes of searching the refs. At first it took 5-10 attempts to get results that actually worked, but now it's often 1-3.
Here are the mods I've released since early Jan:
- SteelUI: fixes for it to work with the latest game version[1]
- Smarter-Tools: a mod I authored from scratch to add a few tweaks to how tools work[2]
- More-Gore-Continued: has serious performance issues I'm working on - making progress[3] (adult only - requires sign-in)
If there's any interest I'm considering writing up all the details in an article and making the mod repos public.
[1]: https://www.nexusmods.com/7daystodie/mods/9386
I have been through a number of iterations of adders, integrators… It's starting to coalesce now into a finished PCB. (Iterating is slow though at the PCB stage since we're round-tripping via Asian PCB fabs.)
As often happens, I want to learn about something (analog computing in this case) and I find that a deep dive where a kit comes out at the end is an enjoyable way to explore (I also get more experience with KiCad and, for this project, SMT).
The seed of this were a few articles on building a "lunar lander" circuit in early '70's electronic hobbyist magazines I found online. Pre-home-computer, how does one create a lunar landing simulation? Why with op-amps and panel meters of course.
And so that is where I began. But I'm way past that now though by making instead a general purpose analog computer.
We trained PyTorch models on solved poker scenarios for post-flop, turn, and river situations. The planned "killer feature" is to give users feedback on their poker play in the flow of a simulated poker tournament or simulated cash game scenario. The goal is to play against "GTO Bots" (Game Theory Optimal Bots) to learn how to play closer to GTO.^1
Poker has been a passion of mine for a few years now, I find the game incredibly intellectually stimulating as well as a tremendous catalyst for personal growth, and this project has been a great way to channel that energy.
The web app uses Django/Channels/WebSockets. We've built an internal discounted CFR solver as well, hopefully building up to multiway scenarios in the future. The webapp is still in Beta/gated, and you're interested in learning more please email contact at surlesol dot com.
We are thinking of pricing $8/month or $74.99/year, with the rationale that this will be far less expensive than learning by experience at even micro stakes for online poker, with better feedback for learning, and at least we make it explicit that you're competing against bots ;-)
1. I am aware that GTO play is not always optimal, especially in live poker where live tells are available, and often exploitative strategies fare better than pure GTO. The target audience for ComputerPoker.ai is not hardcore poker pros, there's plenty of existing software for that, but rather those individuals looking to get acquainted with what GTO play "feels like." Then, with this knowledge in hand, knowing what the GTO play would be given various assumptions about our range and a reasonable opponent's range, we can deviate from the GTO play as deemed necessary.
The idea: lawyers spend 60%+ of their time writing documents. We give them an AI assistant that actually understands legal context — case files, templates, emails, the full picture.
What we've been shipping lately on the v3 branch:
• Workflow engine — visual editor + execution pipeline for legal document workflows (think: intake → draft → review → send, all orchestrated)
• Case-context AI assistant — docked right into your case view, with file attachments, skill system, and next-action suggestions. It knows your case, not just your prompt. Think Pipedrive CRM for lawyer!
• Skills system — modular prompts lawyers can pick and inject (summarize deposition, draft motion, extract key dates, Claude Skills, etc.)
• Cloud drive sync — bi-directional sync with Google Drive and OneDrive. Lawyers keep their existing file setup, we plug in and keep everything in sync
• Outlook, Gmail, IMAP email integration — connect your inbox, pull relevant emails directly into cases
• Template multi-output generation — one case, multiple documents generated in one flow
• BYO AI provider — user/workspace/admin level settings for AI models. Some firms want Azure, some want Anthropic, we let them choose
• Canvas boards with AI context for visual case planning Stack: Next.js 16, FastAPI + LangGraph backend, Supabase.
We're a small team in Switzerland and across the globe, shipping daily. Target is Q1 for the v3 launch. If you work in legal or know lawyers drowning in document work: would love feedback or test our beta :)
A hobby project I started putting together late last year; a little spot on the internet for prayer and reflection.
https://dugnad.stavanger-digital.no/
A pro bono tech consultancy for local non profits. The idea is to help them use tech to better deliver on their mission.
Just today I finished off building a little PWA to help a couple of non-profits offload the admin of volunteer scheduling (mostly done through whatsapp, messenger, etc).
I'd recommend others try the same pro bono consulting in their local area, it's quite rewarding!
THINK is a modern CSS-first UI framework built on semantic HTML, custom elements, and data attributes. Uses :has(), container queries, and density scaling. No classes, no build step.
It‘s work in progress but I‘m pretty happy with the outcome so far, especially the data table component and automated Insights. I know it‘s not AI driven - but it works pretty okay for quick insights on the loaded data.
Would love to take this for a test if it is available for public use
Orange Juice
If you don't mind me sharing ideas that I would love to have in such an extension:
- Changing the UI of the comment actions to make them easier to use. Using HN mostly on a phone, I keep hitting downvote when I mean to do the opposite. Similar with the collapse action.
- Keep a local list of users that get their comment subtrees stripped out. Some people are argumentative by nature and not in good faith. It's best to ignore them (easier when you don't see their comments).
- Hide new accounts by default (perhaps auto collapsed).
So far, desktop is the current target. Not even sure I can run extensions on a phone.
The last two fall under content moderation. I'm a bit less interested in that as it changes the UX and there are infinite things we could do there. Right now, the extension has no preferences switches, and I'd like to keep it that way for as long as possible. When there are a whole bunch of knobs to tweak, it makes everything overwhelming.
On the mobile extension side, just in case you were unaware, Firefox on Android has had extensions now for 2+ years.
Good luck with the project!
It does this by taking a screenshot of the page, but before it does that, you can modify what’s displayed in the screenshot with CSS, tailwind classes, meta tags, or HTML templates.
If you connect your website to it, the only thing you need to deploy to your web app are a few meta tags. The OG+ servers do the heavy lifting of processing the meta tags to setup the page, take a screenshot of it, and serve it up to the consumer.
The other cool thing it does is generate a different Open Graph images per social network so they all get an image for the exact size they works best in their previews. The CSS or HTML templates are aware of this too so you can display different content to specific social networks.
Basically, if you define a data model with bindings, you can inject data into it or extract data from it by running SAX-style visitors. You can use serializers/deserializers for standard formats like JSON/BSON/CBOR/CSV, or you can define custom formats for formating structured data however you want to. You can also run a serializer visitor on a deserializer to convert between formats. You can compose filter visitors to extract a subtree or filter out keys. And it's designed to fit on microcontrollers with very limited dynamic memory allocations, because it either streams data on-the-fly or works directly with the underlying data format in a big preallocated buffer.
I worked with libraries that offered a subset of these features before in my professional career (even built one myself), but recently I've had an epiphany (a document can also be used as a data model) that makes me think I can create something elegant and unique.
Traditional therapy assumes you can identify what you’re feeling, which is exactly what many autistic people struggle with. Anna, the emotional regulation coach, addresses this dilemma.
I’ve used her daily for nearly a year and haven’t had a major dysregulation event since. Now I’m working on developing Anna further. The following post includes a detailed framework for building your own.
https://bettersoftware.uk/2026/01/24/how-to-build-ai-regulat...
Inspired by a TED talk I saw [0] where the researcher from Microsoft displayed a program with AI assisting with thinking while someone was reading and annotating a document. They claimed it was a way to sharpen critical thinking instead of killing it. They didn't release the product, but I figured it was cool and useful, so I've spent the weekend creating it. It's been a great way for me to practice using agents, and I've learned a lot from this process.
The market is distributed across a bunch of 3rd-party marketplaces, and there's no 'simple' API that provides genuinely high-quality data. It's been a super fun project, and I've been able to learn about collecting & managing a high (to me) scale of data, building an API from the ground-up, and creating my first 'commercial' website.
Website is @ https://cs2.sh/
The API is built w/ Go & Clickhouse, which I've been super impressed with so far.
Web design is partially inspired by turbopuffer's site.
Biggest challenges: - How to explain the different use-cases/possibilities in a clear way - DX for any hacker who comes across the device with/without hardware experience
In my day to day as a Product Manager working in a team that ships AI products, I often found myself wanting to do 'quick and dirty' LLM based evaluation on conversation transcripts and traces. I found myself blocked by 'Gemini in Google Sheets', it was too slow and cumbersome, and it didn't handle eval changes well. And because I was exploring, it wasn't helpful to try and set up something more robust with the team.
To fix the problem I eventually learned to call the OpenAI API in python, but I really felt that I wanted a 'product' to help me and potentially help others.
So this weekend I built https://beval.space
Many mainstream email providers have switched to require OAuth for login, but there are tons of clients and apps that don’t (or can’t) support OAuth.
Auth-Email is a secure, private relay that takes out the need to worry about OAuth: authorize mail accounts one time in our dashboard, then use an ordinary username and password for IMAP, POP, and SMTP via our server.
Always interested in possibilities of LLMs interfacing with MIP solvers.
I was wasting way to much time scrolling news. It consist of a crawling engine, de-duplication, llm creating a custom keyword filter and each event is checked against the original prompt for verification using a llm before sending it out.
Keywords suck, 381 of 388 potential matches end up like this:
"The event is about an OpenClaw Plugin Hub supply chain attack, not a data breach affecting hundreds of millions of users. The watch request specifies a massive data breach; the event does not clearly indicate that."
I'll admit it's terrifying to share this here because I don't know how to keep costs under control. For now only myself and my friends have used it.
Also trying to make a podcast out of it, which I enjoy listening to while I do some road trips: https://open.spotify.com/show/1fFwWMWJBJYIZmyz9cnrKB
how exactly this happened? What did you do?
The word basically is doing a fucking lot of heavy lifting in that sentence given that it's essentially asking spicy autocomplete to pretend it's multiple (possibly dead) people from $field to discuss the topic amongst themselves.
https://store.steampowered.com/app/4009620/Tutankhamun__Buil...
- A bracelet with tiny camera that's pointed at your hand palm and transmits pictures of the stuff you're holding and where you've put it down locally to your phone. Pictures are sent to a quantized CLIP which allows you to search for anything you've lost without needing to attach an airtag to it. Works decently well and is great for 'power losers' like those with ADHD-I. Has a privacy slider and nothing goes to the cloud.
Would love to hear from anyone interested > hi @ hitch-home dot com
I missed this when it was launched and it's very interesting to see your rationale. If you ever want a chat some time get in touch, I'm working on https://opentechcalendar.co.uk/
My ulterior motive is to ask you to add open data feeds for basic group and event listing information to your site - a free and open API and standard formats like ICAL (Just listings information about the next event, not private info like members names). I would never encourage event organisers to use a platform that didn't do this, as then their data is essentially being held hostage and it's hard for them to spread their information around to other places.
And thanks for the tips - I completely agree on the point about data being held hostage, and on the openness of data - it's one of the more frequent complaints about Meetup. I've recently added an API for event creation, so it won't be hard to add another endpoint for listings (at the moment, we just have an embeddable widget [1] showing your next 3 events).
ICAL is a brilliant suggestion - I've had a few requests for that already, and it's especially interesting in the context of opentechcalendar. I'm very interested in ActivityPub and all things fediverse as well - figuring out how to integrate these ideas into the platform is one of the next items on my TODO list.
Link to Github: https://github.com/joshuamabina/lightweight-css
It is fully customizable, works on any social media, and it genuinely brought my screen time to less than 1 hour.
It is free to use for one platform, and is $29.99/yr for unlimited. And if you need the premium version but can't afford it, just send me a message and I'll sort you out.
App Store link: https://apps.apple.com/us/app/id6737515680
https://www.higherscoresdfs.com/dfs/spa/welcome/
Here is the pitch.
We seek to empower DFS fans through education about predicting professional sports athlete outcomes. We do that through strategy advice, hot player tips, optimized lineups, and pick’em style game-friendly player props. We're not trying to take away your control or do your thinking for you. We are just here to support you in making better decisions. Let the app do the number crunching so you can get back to competitive play that gets results and is also fun.
An AI based time tracker: reconstructs your day from whatever it sees you doing. Screenshot based but never stores them.
The same tech stack is pretty easily adaptable to openclaw tracking. If anybody would like to try, DM
Also looking into AI based security tools for monitoring security of DoneThat. Thinking of using zeropath would love to hear if people tried them / have other suggestions
This feels like it will very easily segway into corporate "spyware" if you ever start doing enterprise plans.
What's your take on that?
So spyware in the sense of getting information without the employee knowing would be impossible and not something I’d ever want to do.
It does enable transparency on a very abstracted level: your team could see a six bullet point summary of your day if you opt in. I believe this kind of transparency can actually help more teams go remote, cut down on sync meetings, etc.
I’m currently experimenting with a feature that shows relative time spent only, not absolute - so e.g. 30% on project X, 20% on admin, etc. That could be the sweet spot on visibility vs privacy.
Tiny desktop (pre)viewer which displays image in transparent overlay without any UI, allowing to look into specific image detail with single hand move (zoom with scroll and pan with drag simultaneously like in map apps, with nothing but display borders limiting visible image surface) and toggle between file manager and image view almost instantly (close with left click anywhere/keyboard Enter).
Also finished initial rewrite in Rust just hours ago:) (originally did it in C and intentionally tried to make it initially close to preceding C codebase before going further, so many things are still managed manually)
In the above article, we list a few applications that we think this could be helpful for: life skills, management/sales training, personal coaching, etc. We'd love to demo the software if this sounds interesting to you!
Video Reject is a platform for people to buy/sell physical media. Like Reverb but for physical media.
I love movies and wanted an excuse build something in that world. Its not necessarily groundbreaking, but I think it could build a nice community of folks with the same interests.
We're getting ready to launch, but in the meantime, we have a waitlist up.
1. Plimsoll Line for dealing with anxieties from mountains of Reminder items, by surfacing the stress factors and taking small actions such as quick journalling and a breathing exercise. The new version with Widget should be released within the next week or two. Version 1 is currently in the iOS App Store. (https://apps.apple.com/us/app/calm-to-do-list-tasks-plimsoll... Calm To Do List&Tasks-Plimsoll). Made it to help my wife (and me!) not get so overwhelmed with things she has yet to do but hasn't started. Also to make it easy to write down things weighing heavy on her mind to alleviate the vicious cycle of emotional decay.
2. Yet-unnamed and -unreleased weather app for planning outdoor activities at times of the day when the weather will be most favorable (or least bad). Made it so that I can plan when to go out to the back yard to bring in more fire wood for the stove in my house. The weather has been tough this winter in the Northeastern US so it finally made me work on the app.
We’re aiming to build the best typing application; personalized to every users typing habits.
Typing is one of the most important hard skills today and yet most education systems skip it.
Most of our customers are adults who always wanted to type but can’t find the time. We make it faster to learn and improve by focusing around the user’s weak points (with our features like SmartPractice and TargetPractice)
The site has become quite a hit and gets thousands of unique visitors each day. https://www.privateequityvet.org/vet-list
I've been working on my newsletter called Tech Talks Weekly[1] where my readers get one email per week with all the latest Software Engineering conference talks and podcasts[1] published that week.
In January, I've released a paid tier[2] where my subscribers additionally get:
1. Access to my internal database of all the talks and podcasts since 2020 (+48,000 in total) where they can search, filter, sort, and group by title, conference/podcast, view count, date, and duration.
2. The list of the most-watched talks over the last 7, 30, 90 days, 6 months, and 12 months based on number of views.
3. Category-based view of new talks & podcasts by tech stack, language, and domain (Software Architecture, Backend, Frontend, Full Stack, Data, ML, DevOps, Security, Leadership and every major language & ecosystem)
[1] https://www.techtalksweekly.io/p/what-is-tech-talks-weekly
Basically tracking where my friends and I have collectively been by dividing the global map into H3 hexagons. The using photo and workout metadata to get the locations, giving points and doing comparisons between everyone. It’s actually quite fun to see random people around the world sign up and see in the global map where everyone has been. Grounds me a bit haha.
Got is built on Blobcache, which is a general-purpose transactional storage layer and E2E encrypted backend.
I'm building Hot Dev, a backend workflow platform.
- Hot: a functional, expression-based language w/ types for easy integrations and built-in parallel constructs
- Event Handlers drive execution `on-event: "user:created"`
- Scheduled Events `schedule: "every hour"`
- MCP: Turn any Hot function into an MCP Tool
- API: Real-time access to running tasks; subscribe to workflow Streams with SSE updates
- Observability: System-level dashboard; Call-level tracing; Alerts to email, Slack, PagerDuty, or webhook
- Develop locally, push to production with `hot deploy`
- Coming Soon: Hot Box - run any OCI container as a Hot function
The technology is using my open source project https://github.com/ibizaman/selfhostblocks
I'm also working on a new strength gains-tracking app that is a lot more intuitive, motivating and friend first. I've been using it with some friends for the last 10 weeks and everyone making is consistent gains. It is my first full PWA, vanillaJs, backend is Lucee & MySQL. Works great on iOS and Android, no one has any complaints. The web stack has come a long way I am probably not going to do a native mobile app for a while. I'll probably make it public in a couple weeks.
Would love feedback!
https://demo.shoehorn.dev will be deployed soon and full release "beta" will be released in march.
https://registry.terraform.io/providers/shoehorn-dev/shoehor... https://github.com/shoehorn-dev https://shoehorn.dev/
Feel free to reach out, hello@shoehorn.dev
> Elixir
Nice.
Currently in Shanghai but will move to Tokyo next week. Once I'm in Tokyo I'll publish a few posts about AI assisted coding and product creation.
Also adding a few things to my ideas page: https://bryanhogan.com/ideas
Other things I'm working on:
- https://dailyselftrack.com/ - Got into working on it again, mainly solving some UX problems currently.
- https://game.tolearnkorean.com/ - Learn Korean words quickly, words go from easy tasks (e.g.) matchings pairs) to more difficult ones (writting it), currently still needs some slight adjustments, and then I'll release an Android version.
- https://app.tolearnjapanese.com/ - Wanted to learn Hiragana quickly, used my existing project as a base to build this. Needs some adjustments as well, feedback is highly welcome.
- https://tolearnkorean.com/ - Since I'm learning Korean, and also working on an app to better learn Korean, I also want to make a guide on learning Korean, improving my own skills by teaching others.
`brew install tritium` (macOS)
`winget install tritium` (Windows)
`curl -f https://tritium.legal/get | sh` (linux)
Check it for free out and let us know your thoughts!
https://github.com/asteroid-belt/skulto
Started building this after getting nervous about installing random SKILL.md files from GitHub. Scans for prompt injection in markdown/references and suspicious patterns in scripts/.
- 200+ curated skills included
- 33 supported agents
- Symlinks for one install anywhere and automatic updates
- CLI, TUI, or MCP interface: try asking Claude to find and add Awesome repos.
- Semantic search across skill content
Working on: local skill authoring, mise-style directory activation
Go + Bubble Tea. Happy to hear what's missing.
I’m working on:
- DietPDF ( https://github.com/Zigazou/dietpdf-haskell ) an intensive PDF optimizer which tries to reduce PDF size as best as it can while preserving visual quality. It relies on a lot of tricks to achieve this goal (minification, precision reduction, deletion of superfluous operations, concatenations, filter combination etc.). At the present moment, I'm trying to implement CCITT Fax encoding/decoding.
[SMILES](https://en.wikipedia.org/wiki/Simplified_Molecular_Input_Lin...) or [SELFIES](https://resources.wolframcloud.com/PacletRepository/resource...), but for EVM Blockchain executions.
That means I have to: - build something so I can evaluate the results. - track each of these projects separately otherwise they turn into dust after quite some time. Gladly claudesidian seems to be working well with the unstructured stream of inputs. Feel like hooking it up with some task tracker cli and calendar and notifications could make life a bit better too. - plan next projects to keep evaluating other skills and tools
It’s been discussed so many times the amount of new or personalized software that appears and will appear and it seems so true.
Whatever I built I am actively using myself - a text rewriter that cleans some of the AI speak and has MCP and cli (at https://www.refineo.app). Math teaching and solving extension at https://math.photos and a self hosted stock opportunity discovery tool that runs locally. This is just to automate what I did before manually and scale it up a bit.
> Any new ideas
There’s no product yet to cover the needs of all of us launching the software into the internet void. Any ad platform out there is a hot and very outdated mess and I just can’t. There is going to be a better way with all the capabilities we have and someone is going to really nail it.
From the README: "[git-forge is a] simple CLI tool for basic interactions with issues and pull requests across GitHub, GitLab, Gitea, and Forgejo".
Right now, I am looking into better testing. Currently, I do testing by mocking the forge APIs and then running git-forge against them with TypeScript. But not everything is testable that way. The TUI is pretty much untested. So I now want to port at least the tests to Rust (I am probably gonna leave the mock API in TS) and need to look into how to tests TUIs, which is a bit of a challenge since not only is Rust my first "systems programming language", I am also not knowledgable in Terminal/TUIs...
So I'm building Taskplan (https://taskplan.run) - it's like Ansible, but for people. Build a plan, assign tasks to people or teams, and get a real-time dashboard to track progress as the work happens.
I'd love feedback from anyone who deals with the same issues or works on ops-heavy projects.
Hosted OpenClaw, one click and you get a full agent with configurable skills, channels and the whole thing, all running in its own sandbox.
I love OpenClaw but setting it up is a pain: VPS, Docker, API keys in plaintext, security patches... So I’ve spent the last couple weeks building a hosted version that handles all of that. Each user gets their own isolated environment on Cloudflare Workers.
Still doing some testing with friends before opening signups but planning to launch properly this week.
Would love feedback on the landing page in the meantime!
The use case examples are good, would be nice to include a couple that use browser automation or that feel more magical than reminders.
Is the memory functionality just what’s baked into OpenClaw/Pi or is it customized somehow?
Good call on the examples, I’ll add some that show off browser automation and more complex workflows.
Memory at launch is what’s baked into OpenClaw, but I’m planning to upgrade it to vectors + a continuously updated doc shortly after (similar to what Claude Web does)
If you want early access I’d be happy to get you set up personally, just shoot me an email at ramon <at> agentmode.co
Behind the scenes I’m rebuilding the sync engine to properly support offline mode. Trying to get to instant opens for the app (and of course work offline). It’s probably my 5th sync engine. It’s been really fun to see how much easier, faster, better, etc each new iteration is.
(And the project at large is https://phrasing.app - a language learning app for polyglots. It’s like anki but designed to be enjoyed)
Can I ask if the new page explained it better? The “demo/how it works” section is still missing the graphics, which I think is pretty critical. But I’m hoping the new page is a bit improvement!
One of the pieces of feedback I get most often from users is “oh this is actually really simple”. But explaining it simply has always eluded me
Couple of utilities for using claude code in my zsh. #? <describe command> => generates the command for you #?? <command> => explains the command for you
Packaged as an oh-my-zsh plugin so it's easy to use.
Myself, mostly. Trying to wrestle with realizing how much time I've not been spending on my supposedly main project[1] and questioning whether it's really worth doing.
> Any new ideas that you're thinking about?
Way too many. Writing todo lists is part of working on myself.
[1]: PAPER, a pure-Python ~(pip/pipx replacement), from scratch with an emphasis on simplicity and elegance. https://github.com/zahlman/paper . There's more locally that I haven't pushed, including factoring some stuff out into a separate project and planning more of the same. But yeah.
Open-source RAG infrastructure.Every team I talk to has the same experience: RAG works in the demo, breaks in production.
We handle ingestion through retrieval with optimizations baked in. 97.9% on HotpotQA vs 88.8% for standard RAG. Model-agnostic, 22+ file types, built-in citations, MCP server. MIT licensed.
You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created - if you don't follow much or any artists, then you should enable that in order for the service to be useful.
The transmit site is in the Verdugo hills and will need to be off grid. We're going to need about $20k to get the entire transmit system setup (including a solar/battery backup system).
I've also been working on our web infrastructure. The site is built with Haskell and HTMX. The stream is Icecast, and stream scheduling is done using an internal schedule system in the web app and LiquidSoap (so no external tools like airtime, libretime, or azuracast).
Most recently, we added support for benchmarking (create custom dashboards tracking nav and value chart of subsets of your portfolio) and us stocks, etfs etc.
I wrote about benchmarking here: https://finbodhi.com/docs/blog/benchmark-scenarios
NOTE: you can try demo without signup, but it doesn't work in Firefox Incognito mode.
Only downside is manually importing documents, but there isn't any other way, really, without giving up your data to Plaid or another service.
I got frustrated with existing screenshot services choking on cookie banners, rendering half-loaded pages, and serving bloated images. So my co-founder and I built one that auto-dismisses cookie consent dialogs using Playwright heuristics, serves AVIF-first from Cloudflare R2, and supports geo-distributed rendering so you can capture pages as they'd appear from different regions.
Spring Boot + React + PostgreSQL. Bootstrapped after selling a previous ecommerce SaaS.
Currently documenting the whole build in a 30-day series on the blog if anyone's into that sort of thing.
You have link to the blog series?
Aiming to get that published in the next day or two, and then I plan on diving in on a complete rewrite of the book I wrote on building Shopify apps with .NET and C#. It's long overdue, the book still uses Shopify's deprecated rest API and some methods that aren't supported anymore, but I've been holding off on an update until I could rewrite it with the new fluent query builders in ShopifySharp.
Outside of my OSS stuff, I'm continuing working on my SaaS app, Stages (https://getstages.com) [¹], which has been paying my mortgage and bills. Customers have been asking for lots of features lately and I'm anxious to get a particular one finished (filtering orders and events before they come in and are saved to the app) soon. It's my biggest source of churn right now.
[¹] Elevator pitch: the app is like a pizza tracker for your orders that have a custom or long, drawn out production process. Your staff and customers can see exactly where an order is in the process without calling or emailing you. Shopify only for now but one of main dev goals is to move beyond Shopify.
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
You know that feeling when your microcontroller crashes and you spend 3 hours staring at cryptic registers trying to figure out why? Yeah, I got tired of that.
So I built an MCP server that lets Claude talk directly to GDB. Now instead of manually decoding CFSR registers, I just ask "why did it crash?" and get back "division by zero at line 142 in calculate_average()".
It's pretty satisfying to watch Claude diagnose a deadlock between two RP2040 cores in 10 seconds - something that would've ruined my entire afternoon.
Just shipped v0.1.0: https://github.com/ezulabs/embeddedgdbmcp
It uses a simple points model instead of streaks or financial-style tracking to make expectations visible, progress clear, and follow-through easier.
In real use it’s solving three main problems: - As a Family Chore Chart — a digital chore system that actually gets kids engaged with responsibilities using points and rewards. - As a Personal Habit Tracker — a way for individuals to organize routines, add notes, and earn points toward meaningful self-defined rewards. - As Complete Homeschool Management — tracking assignments, logging progress by subject, and generating reports and transcripts for multiple students.
It’s entirely web-based (no app download) and works on phones, tablets, and desktops. I’m actively iterating on it based on real use, and it’s been most useful in situations where simpler systems actually get used instead of abandoned.
Check it out https://www.pointwisesystem.com/ Pre-Launch offering 6 months free
It gives you clean text summaries of YouTube videos. There are obviously other tools that do this, but I wanted something that is aligned with actual principles of learning and retention, not just quick TLDRs.
Also added a feature called Related Videos. It extracts the key themes from a video and recommends the top 3 related videos, essentially creating a small “knowledge web” of sorts around the topic. Similar to youtube recommendations, but you don't watch you click and read.
You can do YouTube search directly inside the product. When you click a video, it generates a summary. So you’re still browsing YouTube, but click turns a video into something you can actually consume. Personally found it better way to consume youtube, quicker for me to get through the content I want to consume than have those 10+ Youtube tabs sitting in my browser forever.
There’s also a public library feature I added where you can make your summary public. It’s kind of fun to see what other people are learning.
Still early, but iterating on it, scratching my own itch.
I'm building Ditto — it clones websites with 100% visual accuracy and outputs a proper React app with named components and preserved structure.
The problem: you find a design you love, want to use it as a starting point, and your options are either manually recreating it or using a tool that spits out a tangled mess of divs and inline styles. CatchDitto gives you an actual codebase — clean component hierarchy, sensible naming, structure you can extend without wanting to rewrite everything first.
I'm still iterating, would love to hear what others think.
And I just launched Writtte yesterday, a writing platform for drafting articles with built-in grammar checking and AI-based refactoring with custom styles, and for the first time, with a better copy/paste mechanism for other platforms like Medium, and Substack :D
Imagine you, as a security researcher (or any other persona in the security field), wanted to see what prior works are available around bypassing v8 sandbox using webasm, or if what’s been done or found targeting deserialization in Go.
Using this web app, you can search the indexed and tagged write ups.
Also adding MCP support to it so your agents can search too.
Hopefully going live soon.
P.S: I said HN-like, but tbh it’s just the UI that looks a bit like HN (I’m not a good designer, so got heavy inspiration from HN listing style), otherwise there’s no other overlap in functionality yet.
Fully off-grid using solar, batteries and Starlink for uplink. Focusing on AI inference at the beginning. Currently building our first prototype and testing cooling solutions.
It's a bit like Reddit but focused on learning. (Doom learning instead of doom scrolling)
You 1) upload a source 2) direct the kind of questions you want to be asked 3) start answering (and if you get the answers wrong, you can discuss the problem with "AI").
You can read other people's sources, questions, answers and their discussions with AI too.
And if you're learning the same thing as other people, you can join communities to share sources/questions.
It's still very early on, so I'm very interested in any feedback.
Forge is an orchestration layer that sits between AI coding tools and your codebase. It's a single Rust binary (~3 MB, zero runtime deps) that runs as an MCP server over stdio. Any MCP-compatible AI tool can call it.
MIT licensed. Whitepaper with the full architecture: https://nxtg.ai/insights/forge-whitepaper
My main goal is not just a "the model made code, yay!" setup, but verifiable outputs that can show degradation as percentages.
i.e. have the model make something like a connect 4 engine, and then run it through a lot of tests to see how "valid" it's solution is. Then score that solution as NN/100% accurate. Then do many runs of the same test at a fixed interval.
I have ~10 tests like this so far, working on more.
https://apps.apple.com/us/app/skyscraper-for-bluesky/id67541...
Been a side project for a few months, as I wasn't enjoying the official client, and wanted something that fit my particular tastes (scroll position permanence, greater emphasis on hashtags, support for Shortcuts, and a more iOS-native look and feel).
Launched 3 weeks today, and already nearing 100 subscribers (nearly all annual, but month-to-month also available). Been very fun seeing users start using the app each and every day!
My previous games have all been exclusively in English, but this one also has Spanish, French, German, Dutch and Swedish. It's a take on the classic word ladder game, with golf scoring mechanics.
Still needs a bit of fine-tuning for the word lists and puzzle generation, but I think it's already pretty playable. :)
Currently implemented the following:
- Automated scale in / scale out of nodes for Spark executors and drivers via Karpenter
- Jupyter notebook integration that works as a Spark driver for quick iteration and prototyping
- A simple JSON based IAM permissions managementent via AWS Parameter Store
Work-in-progress this month:
- Jupyterhub based Spark notebook provisioning
- Spark History Server
- Spark History Server MCP support with chat interface to support Spark pipeline debugging and diagnostics
Open to feedback and connecting. Docs at https://docs.orchestera.com/
The idea is to let multiple agents propose, critique, and stake on decisions before a single action is taken, rather than letting one model silently decide. It’s model-agnostic and runs locally, with no blockchain or financial layer involved.
I’m mostly exploring whether adding explicit disagreement and cost at decision time actually improves outcomes in high-stakes or automated workflows.
https://github.com/consensus-tools/consensus-tools
I've also created an AgentSkill to interact with the cli:
After around 15 years working with clients and helping them wrangle their WordPress sites, I stopped working with WordPress as a primary platform for building sites.
A while back I've switched to a more modern stack and have fully abandoned WordPress.
Having that background, however, I've come to know (way too well) many of the frustrations and security problems with the WordPress ecosystem. As a result, I started a service to help business owners break free from WordPress on to a more modern Next.js-powered stack that's faster, lighter weight, and easier for them to manage.
Brand new but should be fun!
Personally not a nextjs fan but finding a modern alternative to WP will pay off for many businesses
Current release candidate supports detecting Teams Meeting and Slack Huddle.
https://sourceforge.net/projects/blackbeltwaste/
Thinking about adding video-calling after successful integration of Voice Conferencing.
Its an old p2p program, but recently been downloaded 15,000 times and counting.
Great fun and challenging too !!!
While it's true that the agentic coding assistant space is crowded (Claude Code, Aider, Opencode, Codex, etc.), we needed something supporting both local and cloud models that we could easily modify/extend for custom workflows.
Being able to access the agent through both a terminal and a Python API/REPL has come in handy.
Recent releases includes custom tools, agent skills, and built-in support for Ralph Wiggum loops.
https://play.google.com/store/apps/details?id=com.superfun.w...
I've been working on this project, which lets you create interactive Valentine’s Day invitations for your special someone. You can pick from a set of templates, add your own message or photo, and share it easily.
Currently, adding CMS feature so that user can edit their info right in the website and get the link instead of them hosting themself or editing the code.
https://github.com/yelinaung/expense-bot/
https://gitlab.com/yelinaung/expense-bot/
As you may see from the git history and "contributors", it's mostly Claude and AMP making the changes. I am not entirely sold on these agents and not particularly excited by these. But I also feel that I can't afford to sit out this transition so here I am...
A document RAG API based on multimodal embeddings that's intended for data extraction. If your document workflow involves search and you're looking for ways to cut down on VLM (OCR) costs, Ragextract provides a simpler alternative (less bells & whistles) which makes sense for startups, SMEs and freelancers.
As someone who works on AI document workflows, I use Ragextract myself to reliably execute for various clients in finance, insurance and proptech. I'm currently working on marketing/messaging for the service and could do with more feedback and use-cases.
Have a new or existing project which could use something like Ragextract? Email me and if there's a fit happy to provide a demo or free subscription.
Learn more here: https://subworkflow.ai/blog/ragextract/introducing-ragextrac...
Speaking of projects, I’m roughing out a method of pulling cost data for common services (compute, storage, databases, etc) across the three major cloud providers and making recommendations as to where to put things for optimal cost; a key component of a “universal cloud” idea I’ve been kicking around since 2020 or so, where the base cloud services are abstracted away into commodities rather than bespoke products or locked-in vendors. The goal is to basically have something like Terraform that will transpose its code to the destination cloud chosen by the cost analyzer at execution, and eventually auto-migrate load as prices or needs change (e.g., a client churning early and shifting that reserved instance to another customer for a higher margin).
Write once, and trust the pricing model to deploy it where it makes the most fiscal sense. No more learning Azure/GCP/AWS for bog-standard workloads anymore.
https://github.com/rdavison/DXX-Raytracer-ar/releases/tag/ar...
An all-in-one operations workspace that starts with forms but doesn’t stop there.
teams (especially HR and ops in small/medium companies) need to launch and operate fast, but the moment data comes in, everything falls apart into spreadsheets, emails, and half-used tools. the real work starts after collecting data.
What we’re building:
Form & workflow engine, and backoffice layer on top of submissions: tasks, assignments, reminders, budgets, client/contact directories, inventories, meetings, internal knowledge base.
Operational add-ons: quizzes & assessments, certificate generation, invoicing, document repository, reusable email templates, Anomalies module.
It’s less “Typeform competitor” and more “what happens after the form”, for HR teams, marketing teams, and SMEs that want one calm, predictable system instead of a tool stack.
(we’re Morocco/EU-oriented).
Still super early (one month), shipping steadily.
I’m working on an API that provides heuristic signals about whether a piece of text is likely LLM-generated.
The system uses an ensemble of techniques, and on my internal evaluation set (details below) it achieves ~99.8% accuracy. I’m fully aware that general-purpose AI text detection is hard and adversarial, so this is meant as a probabilistic signal rather than a definitive classifier.
There’s a simple demo site: https://checktica.com
And public API docs (no API keys required): https://api.checktica.com/v1/docs
I’d really appreciate critical feedback, especially on:
- Failure modes you’ve seen in similar systems
- Whether this framing makes sense at all
- Where such a tool might actually be useful (or useless)
Happy to answer technical questions.
and execute them when an alert fires.
We are at https://www.relvy.ai
I used to work in devrel, and traveled a lot for events, and I always struggled skipping things like workouts, looking at the time on the last day of a conference trying to check whether it's time to leave yet - so this gives me the opportunity to build a tool I would have loved to use.
Currently I'm working on a LLM-powered booking email parser, that ingests forwarded booking confirmations and adds flights, hotels, etc. to your itinerary.
What's Included: - Kanban boards - Time tracking - Documents - Team chat - Schedules - Analytics - Voice notes - File storage - Task templates - Client reports
The result is https://xllify.com
It embeds Luau which tames the very old school C SDK. This means that the same code can run as native add-ins on Windows (XLL) and the more modern-but-far-slower web engine, thanks to WASM. Luau is safe and fast.
The exact same bytecode runs in both styles of add-in. You get the performance of native with no extra work. Many approaches for writing custom functions are unacceptably slow, particularly when their inputs come from fast moving realtime data feeds.
I know Luau is perhaps a left-field choice. However, coupled with a coding assistant and bringing that lightweight conversational dev experience right into Excel (xllify Assistant is an add-in itself) this is perhaps less of a barrier.
You record short morning, evening, or ad hoc sessions, and it transcribes and indexes them into a searchable archive of your thinking. It uses simple Apple Fitness–style rings to encourage consistency, plus monthly insight reports and suggested “build in public” posts.
I built it because notes apps weren’t capturing my thinking in full fidelity. Using Reflect I averaged ~65k words per year. With Historic I logged ~85k words in one month.
Your thoughts are already your most valuable asset. Historic just makes them accessible.
I'm currently rewriting the UI in Rust - previously it had a Rust backend and a JS frontend using Tauri, but I ran into bandwidth limitations which prevented it from being really usable as a video editor. It's currently in early alpha.
Dimensionally accurate AI 3D modelling. My grandpa has a 3D printer but struggles to use any complex tools. So I am working on this chat interface to allow him to do some simple models.
So far he has triggered more than 150 generations. It’s getting better every model cycle and gives me something I enjoy working on.
It started as a computational experiment, but it’s been interesting how naturally it lines up with ideas from QM (aggregation vs collapse), relativity (proper time), and distributed systems (event-driven causality). Still very much a work in progress, but already useful as a way to think clearly about time, causality, and scheduling in real systems.
- Concept>> https://github.com/VoxleOne/FunctionalUniverse/blob/main/doc...
- Code >> https://github.com/VoxleOne/FunctionalUniverse/tree/dev
Full project: https://euzoia.org
Tried to be super low-tech: Notion, super.so, Spotify creators, riverside.
Now thinking of building an email-based agent for behaviour change accountability. Would love any pointers to good UX for email-based AI assistants.
Next month prep starts for finding dev work after an extended hiatus.
I’m trying to embody the experience of a JackBox game into a Scrum ceremony that should be lightweight but is often painful and tedious. I’ve also gotten to learn a lot about Cloudflare Durable Objects building this and have been delighted with how easy they (and PartyKit) make building multiplayer apps like this.
It’s completely free (I plan to keep it that way) and full of easter eggs and delightful jokes at the expense of Jira and modern software development, of course. If your team is following Scrum and could use a bit more joy in the process you should check it out!
An alternative to tools lik sst.dev or serverless framework, or a PaaS services like Render.com or Flightcontrol.
Deploys to user's own AWS. IaC-first. Has a PaaS-like console UI.
The best features: auto-generates IaC config by scanning your code. Has built-in EC2 runner which is 2-6x faster than AWS CodeBuild.
We've now also implemented dev mode, which is similar to SST. It deploys parts of the stacks that can't be locally emulated (lambda functions, cognito, etc.) with fast re-deploy, and emulates everything else (containers, SQL databases, Redis, DynamoDb, etc.) locally. This means testing/developing is pretty much free, and you have the fastest feedback loops possible.
Whole Stacktape, and dev mode in particular is also very optimized for coding agents with `--agent` flag.
To try it, run `npx stacktape init`
EDIT: Changed the link to github. Stacktape core is now open-source.
Previously I built a jar/docker and deployed to a common server. Fine.
Can this service deploy this to AWS free tier? Will it "know" how to avoid any paid services? (I don't necessarily need a docker or even permanent storage yet)
EDIT: Also - charging a % of AWS bill is pretty wild...
Regarding charing % of AWS bill - yes, we're changing that soon. It's going to be flat fee + 10% of AWS bill.
Our free tier covers 90% of vibecoder, freelancer and side-project use-cases though. So probably nothing to worry about unless you're a 2+ person business. And at that point, it's still far less expensive than having a DevOps person or learning all of the 150,000 AWS loopholes yourself.
NuGet.org doesn't distinguish between a hobby project and a professionally maintained library with real support. pkgstore is a curated directory and marketplace where publishers can sell NuGet packages directly, with full dotnet push/restore support, Stripe payments, and automated access control.
In open beta now, onboarding publishers. Would love feedback.
It's yet another video game backlog tracking service but I'm building this one to automate as much as I can about the actual game logging process. So for example, I'm auto-forwarding all my Nintendo and PlayStation purchase emails to a custom inbox. That email gets parsed, the game(s) and date(s) are extracted, and I get a new queue item I can approve or deny easily on my phone. It also has a documented CRUD API for easy integration for other services (like Zapier).
Yes, it also has a chatbot... I've been toying with a natural language interface for quick actions like "just beat TOTK" to mark Zelda: Tears of the Kingdom as "beaten". It's a bring-your-own-Gemini-key approach... So far, its working pretty well for me. It also supports basic questions about your game library and history that would be tricky to represent without a lot of filtering options. Like for example, "How many Switch games did I beat between March and July of 2024?". Fun stuff like that.
Tech stack is Django/HTMX/Alpine/DaisyUI/Postgres/self-hosted.
If you decide to try it out, I'd love your feedback! There's a quick in-product feedback widget on the bottom-left which sends me an email :)
Working on migration from Modal to a single nvidia jetson, to do low-cost monitoring of toxic emissions at the local tata steel plant. Ran this pro bono for the last 2 years, the fun is in getting this as cheap as possible but still with good accuracy
Building a SSTV ios app - you can encode images in sound and transmit these over (ham) radio. The ISS regularly broadcasts these too. And building a multi-user IRC-like chatroom over audio. Hook up your mac or ipad to a voice radio channel, and chat over very slow (31 baud) but very resilient links.
* https://screenspy.app - observe what youd child is doing on desktop PC. Roblox or homework?
* https://weblock.online - a VERY restricted, whitelist-first mobile browser for kids, use it instead of Safari. I want to feel calm when my children browse the web.
I’ve been suffering from migraines for the past few years and wanted a dead simple way to log when they happen, as well as any other contributing factors I could think of. Inspired by the simplicity of spreadsheets, I built a grid of events, and as you tap on cells, you log “dots”. Those dots, over time, reveal patterns.
I’ve already identified several contributing factors to my migraine triggers using it. It’s been so genuinely useful I wanted to share it with others hoping they might also benefit.
The next big release is coming out later this week which includes visualizations, charts, and on-device analysis of your journal to provide insights.
I got tired of the gamification and social elements of Goodreads, StoryGraph and others. I don't care too much about reviews, but do care about engaging deeply with what I am reading.
Lot's to do still: - Refining the experimental MCP integration so I can bring my bookshelf into my AI assistants - OCR to build notes from screenshots - Voice notes
I wrote a little about why I am building the app here: quietreads.com/about Thoughts on building the app: https://thinking.luhar.org/2026/01/building-at-the-speed-of-...
On the house front I'm just about to install an IKEA kitchen.
RClone is doing the heavy lifting (amazing project). I'm wrapping it with the operational features clients have asked me for over the years:
- Team workspaces with role-based access control
- Notifications – alerts on transfer failure or resource changes via Slack, Teams, Discord, etc.
- Centralized log storage
- Vault integrations – connect 1Password, Doppler, or Infisical for zero-knowledge credential handling
- 10 Gbps connected infrastructure (Pro tier) for large transfersThis isn't a serious project by any means, but rather a prototype. Also, I really got carried away using Claude Code, although my initial goal was simply to glue a quick proof-of-concept and see how it could look like.
Posturr is a macOS app that blurs your screen when you slouch. I’ve always had bad posture at my desk, so I wanted to figure out a way to check myself. This idea is not radically new, but the methods by which Posturr reminds, e.g. blurring screen, colored border, is unique and effective.
Recently released to the App Store at: https://apps.apple.com/us/app/posturr-posture-monitor/id6758...
The goal is a milspec, zero-trust autonomous agent that can be completely locked down. I'm also tying the agent's heartbeat into activitywatch so it can be a good personal assistant and do stuff for you pre-emptively based on your stated goals and session activity.
Working on a platform where you describe a story concept and it becomes a real, illustrated picture book - professionally printed and shipped to your door.
The key difference from "personalized" book companies: this isn't template stories with a name swapped in. You bring an idea - maybe a book about a kid with a cochlear implant going to their first day of school, or a bilingual German-Turkish story about visiting grandma's village - and it generates a complete original narrative with consistent illustrations throughout.
You can upload reference photos so characters actually look like your child. Supports 30+ languages including bilingual editions on the same page.
Currently refining the showcase features and adding RTL language support.
Wondering if you've thought about such things and your perspective.
On margins - tight but workable.
What's the scenery? Happy to try it on our system if you want to share.
I’m skeptical about the stories being good quality so seeing the full stories might mitigate that.
You can edit or regenerate pages if something isn't working - it's iterative, not one-shot. Happy to help you try it out without payment - drop me an email.
I was frustrated by the process of searching for clinical trial info using the clunky and slow registry websites. So I aggregated all trials around the world and made the search faster. Additional features:
- You can watch a trial and get email updates
- Sometimes a trial is done and a paper published, but no updates to the official page. I try to find these papers and link them
- I try to link trials with the same drug together, showing the drug going through different phases
traymd: A system tray notes application that supports basic live input of markdown. https://github.com/rabfulton/TrayMD
reelvault: A local film browser and launcher. https://github.com/rabfulton/ReelVault
preditor: A simple image viewer that shows each image in the center of the screen in a window sized for that image with some basic editing functions built in. https://github.com/rabfulton/preditor
So of course no journal or conference is in the least bit interested, and I'm now reformatting it for another obscure low-tier journal that no-one will ever read.
Otherwise:
- automating the translation of a Byzantine Greek work that has never been translated into English before. https://stephanos.symmachus.org
- also preparing evidence for a case against the university I sometimes work for.
[+] Linear regression, but instead of minimising the Euclidean distance, minimise the p-adic distance - https://en.wikipedia.org/wiki/P-adic_valuation
The biggest problem is internal knowledge and external knowledge systems are completely different. One reason internal knowledge is different it is very specific business context and/or it's value prop for the business that allows charging clients for access.
To bridge this gap, the best approach is to train agents to your use case. Agents need to be students -> interns -> supervised -> independent before they can be useeful for your business.
https://github.com/rush86999/atom . it's still in alpha.
I want to create a tool that would automatically block the stealers from stealing your previous credentials or crypto wallets. I had this idea after the Shai-Hulud attack
It's an experimental side project, but so far it looks very promising.
I find quantum mechanics fascinating and wanted a better way to play with it. Linear types prevent copying qubits, effects track what's quantum vs pure. The type system catches mistakes that would otherwise blow up at runtime.
Runs on a local simulator (with various qubit types modelled) or IBM hardware (sort of). Still a research and learning language for me - I break things regularly.
If any real quantum physicists are lurking, Id love to hear what Ive got wrong!
Some technical highlights:
- Graph-based signal flow: Products become nodes, connections are edges inferred from port compatibility (digital, analog, phono, speaker-level domains)
- Port profile system: Standardized port definitions (direction, domain, connector, channel mode) enable automatic connection inference
- Rule engine: Pluggable rules check completeness, power matching, phono stage requirements, DAC needs, and more
It's getting close. I'll do a show HN on it sometime soon.
Do you have a link to this config you would share with me? Use the Share Config at the type right of the builder to get a portable URL anyone can use.
Offline first, no tracking PWA for intermittent fasting and mindful eating. It helped me lose another 3 kg in January. Spiked a native iOS version, but I really like the simplicity of just the PWA. Not sure what's next!
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Having done a lot of back and forth with LLMs and at the end throwing away learnings from a conversation felt so wasteful - reposit allows you to /share a summary of the valuable learning from your LLM chat for others to discover.
At the beginning of researching a problem, your agent can search reposit just like Context7 for docs. This way, even if you opt out of sharing your data with your LLM provider (as it's all or nothing), you can choose to publicise a solution to your problem with very little effort.
I'm working on extracting valuable learnings from open-source community projects as a starting point now (with attribution), as it probably needs a larger database to be valuable for users to install and use.
You can also self-host it and share privately within the company.
I'm a self-taught coder who first built this 7(!) years ago but couldn't figure out the OCR part. Started again 9 months ago on Replit (starting with Agent 2 which was okay, then eventually starting to absolutely crank with Agent 3) and it works really well now.
Would love feedback from any golfers! golfrise.com
To show newbies how to use vim. Currently its not complete and has major issues. So if you want to try give it a go, but please hold your judgement as not all shortcuts have been added.
The other thing I built but am less interested in personally just through should exist, is something like MoltBook but for more formal topics like the sciences. -> https://ideas.gd/
The insight: most solo founders need basic "alert me when this changes" monitoring, but existing tools force you through signup flows, credit cards, dashboards you'll never use. So I made it dead simple:
curl "https://watch.arkforge.fr/api/check?url=https://your-site.com&email=you@email.com"
I built this because I kept forgetting to monitor my own stuff. Now it's live and I'm trying to get my first 5 beta testers. The challenge is marketing - I'm a developer, not a growth hacker. Learning as I go!
What's been your biggest challenge with your current project?
-> host your own custom domains and plug existing email sources with privacy;
-> share mailboxes with teammates and AI agents without having to share pwds as in the 80's;
-> git review like UX to collaborate with humans and AI agents; local AI to save money on mundane email tasks;
-> native apps + cli/mcp/api with guardrails for external AI agent access
waitlist on https://bangermail.com
https://github.com/vishnugt/TCPFinMonitor. Live - https://keepalive.gt.ms/
This tool tracks TCP FIN packet timing to see how upstream connections are closing and how keep-alives behave. It helped me spot when connections were closing too early or timing out, which was causing those 503 errors.
https://github.com/vishnugt/hyperbin
A fast, minimal httpbin clone written in Rust. It’s way faster(20x throughput) than the usual httpbin and useful for testing HTTP clients and debugging requests without extra noise.
These aren’t polished, just some stuff I needed to iron out the issue.
I built it because most scrobblers only keep track of Apple Music or Spotify plays, but I have streaming stations on all day long, or the radio is on, and those never make it into my playing charts or recommendations etc.
Early days, more to come, public beta is ongoing, and I am looking for testers :)
DarkRadiant is open source, cross platform level editor for The Dark Mod and other idTech4 games like Doom 3, Quake 4 and Prey. It is a lot of fun to add features that make level designers more productive. I would like to invite anyone that is curious about wxWidgets, CSG and game dev to join us.
If you are a designer, we could definitely use a new icon set.
The first three are:
- miniWake: keeps the computer awake
Alternatives: Powertools; USB mouse jigglers
Features: installs without admin rights; triggers invisible mouse events; turns off at LOCK, turns back on at LOCKOFF (saves battery); manual turn off or on via double-click on the icon
- miniRec: records system audio + microphone to mp3/wav
Alternatives: various utilities like Voicemeter, AudioRouter, or some DAWs
Features: does not require any special driver; installs without admin rights; light on resources; "invisible" to third parties (video meetings); auto turn off after 5 minutes of silence (configurable)
- miniCron: system scheduler as a service
Alternatives: NSSM - the Non-Sucking Service Manager; Splinterware
Features: launches any program at any given time (cron like but without cron syntax); kills the current task when the service is stopped; reads and logs stdin/stderr; very light on ressources and very simple
Two others are in the works.
But anyway, great minds think alike I guess! ;-)
I used this as a real end-to-end project to sharpen my backend skills in Go (API design, data modeling, deployment), while also experimenting with AI-assisted development. It’s live, and I’ve already made a few organic connections through it.
It’s a special UIKit map package, designed to be integrated into SwiftUI, as map support is a big SwiftUI Achilles heel.
I have integrated it into another package (a SwiftUI admin tool, that isn’t public), and it works exactly as I planned.
I often do this kind of thing. If I can break some module out of my work, and publish it, I spend the extra time, polishing and documenting it. No one else really cares, but it forces me to do a really good job, so I get an extremely high-Quality component, that I don’t have to worry about, later.
I don’t really know about Maplibre (but I’ll check it out).
Had a friend create an app, based on Google Maps (if you remember, in Ye Days of Yore, GM was the mapping engine for iOS), but Google did the licensing rug-pull thing, and he had to do an emergency open-heart surgery to his app.
That was a sobering lesson about relying on third-party dependencies.
[EDIT] Looking at your app, I’ll not be surprised, if you’re familiar with my friend’s app: EasyRoute
I originally started this years ago and abandoned it because puzzle generation was hard and I didn't have the proper time to finish it. Picked it back up recently with Claude Code and finally cracked it, the generator uses backward construction (starts solved, reverses moves) so every puzzle is guaranteed solvable.
3 daily puzzles (Easy/Medium/Hard), shareable results like Wordle, no account needed.
https://github.com/jgbrwn/vibebin
It automates installing and managing Incus, Caddy, and SSHPiper, provides a TUI for container lifecycle and quick actions, a web admin (built/compiled on the container) for toggling and updating AI coding tools (Shelley, Claude Code, OpenCode, etc.), and a background sync daemon that keeps Caddy routes and container metadata in sync.
Each container exposes coding tool web UIs on isolated ports and supports direct SSH/VS Code Remote access, so you can run multiple independent coding agents against real project files without exposing your local machine.
The project emphasizes simplicity and recoverability for running agents locally: containers are persistent, optionally routed via reverse proxy with basic auth, and tracked in an SQLite DB so setups auto-heal after restarts. It’s written in Go, includes an install script for one-line deployment, targets modest VPS specs (4–8GB RAM recommended), and bundles helpers for DNS and provider automation.
Ideal if you want a lightweight, opinionated way to host multiple isolated AI dev environments on your own server instead of relying on hosted agent platforms.
> This project is 99.9% vibe-coded on the exe.dev platform using their Shelley Web AI Coding Agent and Claude Opus 4.5. Take that as you will.
Ah, wait - should've read the README before commenting. /facepalm
Thanks for sharing the project - will try it out!
Uses vision models to allow for automatic scanning of nutrition tables. Supports UPCs. Still thinking of a good name.
I also made an RPG game via a discord bot: https://questforge.ca
The platform itself is built on elysiajs/bun and tanstack and is completely hosted in EU and the payment processor is a EU based entity and we have an ISV partnership.
A tool to "Design and keep track of gardens, orchards, and landscape projects."
It's very alpha right now, so its quite ugly, but people are already using it. I'm committed to releasing early and often.
You can see some people's designs here: https://floracarta.com/browse
It helps sales teams find companies that use any product/technology, but not limited to frontend tecnologies.
So for instance, you can find companies that use Canva: https://bloomberry.com/data/canva/ or Cursor: https://bloomberry.com/data/cursor/
This was a fun little project I did over the Christmas holidays but only finished off recently. Basically I precalculated the public transport time between the most populated towns in Switzerland to every ski field (about 350 of them!) and then built a little web app around it using Django.
You can choose to prioritise shortest (lowest time overall) versus fairest (smallest variance in group members).
Totally free to use. Next steps are to integrate it with live snow conditions/open lifts...
Claude did help a lot with the FE part. The biggest part was actually finding the best public transport stop for each ski field - that was a very manual process trawling through skimap.org images and Anreise info on ski resort websites.
link to site -
I also did a write up of PRDs and using Railway to build apps on my blog at https://aftercompsci.com.
A metacritic like website but for any product.
It analyzes thousands of professional critic reviews to find the best of the best.
I started building this because I adore how metacritic analyzes professional movie/game/tv show reviews and calculates a meta score for each title. In my experience it’s the best way to discover new things to watch or play, and I’ve often wished something like this would exist for when I want to buy a product.
This year, I decided to start building it myself and Criticaster is the result.
For a given product category we collect all professional reviews of a given product, analyze each to assign them a score and then calculate an average critic score.
The goal is to become the most trustworthy source to make product decisions.
Very curious what y’all think!
- The Laravel Artisan Cheatsheet - https://artisan.page
- Cachet, the open source status page system - https://cachethq.io
Professionally:
- Laravel Cloud's "Private Cloud" offering - https://cloud.laravel.com/enterprise
Klondike solitaire game using Godot. The goal is to better understand Godot's inner workings, and not using any LLMs... outside of whatever Google searches automatically popup when I have questions.
Secondarily, decompiling the DuckTails Gameboy ROM with PHP... then seeing about using PHP to create a GameBoy game. For no reason than to see if it can be done.
A platform to efficiently work with any data right in the browser. Like interactively visualizing millions or rows, and at the same time augmenting the data with domain-specific capabilities. For instance, the cheminformatics plugin automatically recognizes molecules and provides proper rendering, substructure search etc. Sort of a Swiss Army knife for scientific data.
Not really a new idea, been working on it for many years already :)
An open-source multi-cloud governance framework powered by a YAML rule engine. We just reached a milestone by adding Database (DB) support.
The goal is to allow developers to audit configuration and compliance directly within DB instances, alongside standard cloud resources (AWS, GCP, Azure, K8s). We’re focusing on keeping the YAML rules as agnostic as possible so the same logic can apply across different environments without rewriting everything. rtk (https://github.com/rtk-ai/rtk)
This is a "scratching my own itch" project born from using Claude-code. While vibe coding, I got frustrated watching the agent spam ls -al or cat repeatedly just to "orient" itself.
It creates two main issues:
The Token Tax: It burns through tokens for info the agent already has.
Context Pollution: The context window fills up with redundant noise.
I worked with manufacturing companies, and the amount of manual document extraction and manipulation, particularly from accounting documents, was always a large burden.
The goal is upload a document → extract structured fields via LLM → generate new documents from templates. Has a dashboard, with an API, along with a webhook, very much a WIP.
If you're interested in Stoicism, feel free to join and start some discussions.
It synthesizes comments into structured reports in a Chief-of-Staff style for tech leaders.
For this one I focused on loading speed and reducing interaction with repo. So it processes the images (converting to webp) and loads the feed list from a Gist. Also used the "frontend-design" skill. From brief to ready-to-use took about a couple hours.
I hope open sourcing it could be a way for me to get some mentorship from more experienced devs as well. Unfortunately, my work doesn't really do code reviews so I feel like I am not improving much on that front.
There have been lots of cool technical challenges through the whole process of building this, and a very nice variety of different kinds of work.
I'm working towards using the outputs from this language to build out levels and assets for a browser-based game I've been dabbling with over the past few years.
Also trying to find a co-founder who I can work on projects and solve problems faster to be honest.
Inspired by Robin Debreuil his process and videos (see video the article and several forum posts). He is using a CNC but I figured regulating pressure is more important then depth, therefore my experiments with the plotter.
Currently dialing in the pressure/speed and amount of passes on a single layer copper board.
[0] https://hackaday.com/2020/07/10/making-pcbs-the-easy-way/
Right now, I'm working on the OpenClaw-like feature. So, you can learn Japanese via Telegram. Keep track your progress. Practice conversation with your AI assistant. Etc.
Started working on a site to document anti patterns in online discourse. Not quite logical fallacies but more so unproductive expressions that aren’t conducive to pleasant, productive, and focused discussion. The site is a bit rough right now and a work in progress.
I want the internet to be a better place for discourse and I think a reference or guide on anti patterns in replies could help make a dent in the right direction.
A good friend of mine is a retired financial planner and is always talking about different ways I could leverage options to reduce risk in my portfolio. I understand the basics, but really don't "get" them, so I thought a game might help me to understand them better.
* Integrating website liveness data into the crawler to make more informed decisions about whether to keep or wipe data from a website if it can't be reached while crawling
* Working out why the liveness data gathering process isn't stopping as scheduled.
* Deploying a voluntary max-charge request header for the commercial API
* Making website URL elements searchable. They should be already, but are not for some reason.
* Maybe looking into an intermittent stacktrace I get on one of the index partitions.
No blockers.
A voice agent calls you on your phone, and you talk with them for about 4-5 min per day to practice language immersion. Using the Twilio API and the OpenAI model.
There are issues with interrupting the agent and the high costs of calling non-US numbers. I don't think it will be a commercial business, but it's fun to play with the technology.
It's a free macOS app written in Swift that allows you to type with your voice. It supports local models and BYOK (Bring Your Own Key) with a bunch of providers.
You can assign different models and post-processing steps to polish the text. For example, I have a setup for Obsidian that transforms my voice into clean, formatted Markdown. Or, when I use it inside VS Code, it switches to the Parakeet V3 instant local model.
A straightforward and simple AI agent framework. It puts a lot of emphasis on the loop and the steps in that loop. You can change in real time the model, the temperature, the tools, the history. You're also able to spin-off work on a branch and then add the result of that work on the main branch. Still early but developing very fast.
Fresh off the press
A performance comparison of four common Go string building methods.
I recently updated my go-stats-calculator to include many more stats [2]:
CLI tool for computing statistics (mean, median, variance, std-dev, skewness, etc.) from files or standard input.
I also created claude-image-renamer [3]:
AI-powered image renaming script that generates descriptive filenames for screenshots.
[1] https://github.com/jftuga/go-string-concat-benchmark
Month 2 of building the SQL client I've always wished I had.
One feature I'm especially proud of is the visual query builder. Drag & drop to build SQL queries.
There's also an entire SQL tutorial section for anyone who wants to learn or refresh SQL knowledge.
Game idea: DroneCraft is a third-person drone exploration game where players scout the world for parts, craft powerful upgrades, and trade strategically to evolve their build.
Whats coming: Core mechanics are up and running. First playable version planned within a month, alongside open-sourcing the full codebase.
I know what you're working on is all Rust (while Rethink is Go & Kotlin), but if you need any pointers, feel free to email (see profile). Good luck (:
I used to be a coding bootcamp instructor, TA and guest lecturer. I've noticed more and more people need to learn SQL for various different reasons. I'm mostly concerned about lesson scaffolding since most SQL courses don't do it that well. I'm hyped about AI but they're not great with lesson scaffolding.
I'm 33% to 50% done. I've already noticed the way I scaffold the lessons is unconventional. For example, for the first 50%, I don't want students to know what tables are. It's too much all at once, everything should be small bites before the big concepts get introduced.
If anyone is interested in testing the beta version, let me know. It will be up within the next 2 weeks probably. My email is in my profile.
I'm enjoying building a website with solitaire and puzzle games.
I am currently rewriting the engine for the Nth time and plan to add 400 games to the platform in the coming months, as well as social features such as daily challenges, awards and leaderboards.
My ambition is to make this project the largest collection of free modern solitaire games available for all kinds of devices.
https://github.com/prettydiff/aphorio
Screenshots: https://prettydiff.github.io/aphorio/screenshots/index.html
Basically it's a browsers extension: site blocker + ultra short workouts. To break 8h sitting.
An opensource iot drone for less than thirty dollars.
https://github.com/jbonatakis/blackbird
At a high level it's my take on how the execution aspect of spec-driven development should be handled. Where as most tools that are popular right now break a spec down into a task list and instruct your agent to work through it in a single session, I am treating agents as stateless. By this I mean a separate (headless) session is started with selected context for each task. This avoids context exhaustion, compaction (and the resulting confusion that can occur), and means that Blackbird can work through effectively an arbitrarily large task list.
Right now it's BYO-spec, but then it:
* breaks the spec down into a dependent-aware plan (DAG) composed of parent and child tasks
* executes tasks one at a time based on their status (ready to execute if all dependencies are marked as completed)
* allows you to (optionally) pause execution after each task to review, approve and continue, approve and quit, or reject the changes altogether
* (soon) treats parent tasks as an automated reviewer for all child tasks and optionally auto-resume those sessions to address the feedback
* and more
It's entirely bootstrapped, and so far I'm quite pleased with it. I also wrote a post[1] today about some of the concepts I had in mind as I was defining the architecture.
However had, on my semi-immediate todo list in the future are:
- improvements to the scripts I use to compile software from source; I want to be able to build a complete LFS/BLFS without any interaction (I know there is AFLS but I don't like the format or restrictions; I literally want to be able to do everything here via actionable scripts at every moment in time, including using git sources rather than old releases)
- continue on the unified widgets project (e. g. use oldschool GUIs but also for the web "GUIs"). Describe once, run anywhere, in any programming language. This is obviously way too much for a single person, so I mostly want to get the foundation right, prototype primarily in ruby, then add python and java to it. The "end format" should be for normal people, e. g. they should be able to describe everything in one format, and then have that be the basis for every GUI.
- continue working with regard to bioinformatics, also with a focus on normal people (non-tech savvy people). Most bioinformatics software was written by math-heavy tech-centric people, which makes sense. It's not trivial to work with that (we have AI to work around this to some extent, but I feel that many people who use AI don't understand the underlying components; I kind of want something like a Linux from Scratch for all bioinformatics-centric software. Like not just use it but full and useful explanations that are not too technical, but also not too overly long.)
Hopefully gem.coop becomes a viable alternative to rubygems.org - I hate the corporate identity rubygems.org adopted (and you can see the fall-out in other areas, e. g. Heroku dying right now, which kind of means ruby will die too, if all use cases are eroded despite the pro-corporate focus RubyCentral embraced). Unfortunately things seem to become worse in general - I was hoping LadyBird would be a real competitor. The moment you make any statement that they perceive as "criticism" is the moment their code of conduct kicks in and locks you out. And that's not even after a first release; imagine how they will operate once people come in with complaints about LadyBird having problems.
The world wide web used to be a LOT more open in the past.
UK only for now, and very much a “solves my problem” side project, but easily scalable to other countries of the need is there!
Plenty of competitors exist, but many are surprisingly expensive for such a simple use case.
This started as an attempt to create a more reasonably priced alternative for early-stage projects.
https://github.com/DumbMachine/pg-fs
A version of it powers my local rubber duck thoughts and voice note store. Like an explicit chatgpt memory store, helps with information fomo cause I know finding the needle in haystack would be easy.
[1]: https://github.com/AutumnsGrove/GroveEngine [2]: https://grove.place
It's inspired by a moment a few years ago when I realized I had no history of what I had worked on in the past.
It let's you quickly get answers to questions like:
- What did I work on last week? - What was that one hacker new post about compiler optimization that I forgot to bookmark last week?
And it has MCP support so it plays well with Claude.
I've used it recently to target specific job applications by adjusting my resume based on what the job application is looking for and what I've worked on in the past... Claude one shots this (because it has context from Memex). And it feels amazing!
Also, the name Memex comes from Vannevar Bush's 1945 article "As We May Think". He originally thought of as a device in which individuals would compress and store all of their books, records, and communications, "mechanized so that it may be consulted with exceeding speed and flexibility". The individual was supposed to use the memex as an automatic personal filing system, making the memex "an enlarged intimate supplement to his memory".
And he created a word - memex - which is a portmanteau of "memory" and "index".
The wikipeida entry here has more information: https://en.wikipedia.org/wiki/Memex
It's been a slow start for me. But now, between the cli interface and the MCP connection with Claude I find that I'm starting to use it instead of:
- Bookmarks - Lists / Bug Tracking
And even more exciting it's unlocking capabilities that I didn't have before:
- Can ask Claude to review the last week of work and remind me of things that I might still need to do - Can prevent randomization when someone asks me how to configure a server that I set up a month ago. Now I just ask claude and it checks in Memex. And I can send over a nice .md file
Hyper relevant business news.
I have been learning Ruby on Rails and recently deployed domain-tracker to reinforce Rails principles that were fuzzy to me.
This was built following the GoRails SaaS tutorial but I have added uptime monitoring and ssl expiration tracking as well.
I need something that gives me visibility into my pace on recurring goals while still allowing for flexibility, i.e. undone goals roll over to the next period. So Im building an internal app for myself.
It maps your cycling activity data against the OpenStreetMap catalogue to generate all kinds of exploration statistics.
Because they're relatively low-effort (Amazon is terrible for sellers in many ways but man do they provide an incredible amount of infrastructure), that leaves me plenty of time to play with AI, and it just so happens that the business serves as a giant, practical eval as new models come out.
I've been vibe coding apps for internal use and using Nano Banana for listing images and whitebox photos, and more recently I've started to lean on Claude Code heavily as an assistant. It's got API creds for my Amazon account, so I use it for everything from figuring out when I need to reorder to filling out spreadsheets for companies that safety test my product.
And of course I am writing a Substack that I must shamelessly self promote that goes into the practical use cases of AI in my business: https://theautomatedoperator.substack.com/
GitHub: https://github.com/valbuild/val/blob/main/packages/next/READ...
"Compile" Markdown specs for SDD or Subagents into executable logic, e.g. CodeAct+DSPy+Prolog. Not sure how and if I will continue, but it's been lots of fun.
I've been using Claude Code to spin up apps quickly, and I kept needing the same infrastructure every time - user auth, permissions, usage tracking, job queues. So I pulled it all into one SQL package that lives in Postgres. Now when I start a new app I just tell Claude to use Postkit and all that stuff is already there, no external services to set up. I can focus on the actual product and iterate fast.
It was also a good excuse to actually use stuff I'd studied for system design interviews - Zanzibar-style ReBAC for permissions, a double-entry ledger for usage metering, transactional job queues with SKIP LOCKED. ~15k lines of SQL across five modules, with a Python SDK. The SQL works from any language though.
Started with it because I was struggling with finding relevant conversations about my first app where people are exactly asking for what I'm selling, only that I was missing those conversations and people. Build a POC, tested for myself and started getting good leads, so I converted it into my second app.
[0]: https://github.com/zikani03/basi [1]: https://code.zikani.me/using-the-zig-built-lightpanda-browse...
Was more complex than I thought. Still missing support for some RAW formats and had to fix some bugs
I also created a website to showcase how it works -> https://picscrub.com/
One of the projects that features in these notes is the attempt to build a programming language using AI. https://github.com/xvandervort/graphoid
Since I left my last job, I do a lot of writing. I also have a couple substacks. One is a humorous weekly look at science and tech (https://technoscreed.substack.com/ ) and the other is a monthly exploration of history (https://historyroad.substack.com/)
Pasture takes each signup, enriches it (title, company size, funding, tech stack, and more), and scores it 0-100 against your ICP. Alerts go to Slack with full context. You can also track which channels bring quality vs. junk over time, which has been the most useful part so far.
Still WIP. Feedback welcome.
https://github.com/alsoftbv/topic-lab
It's a Tauri-based app so it has small binaries and supports MacOS, Linux, and Windows.
No screenshots yet, couldn't find the time for marketing work. I'm building features as I am using them. I wanted my colleagues to give it a go first before sharing to the public, but I believe it's already valuable as-is.
A developer platform for AI image generation that includes observability, with fine-tuned vision models as a judge to monitor production traffic. (Still working on the last part.)
We also have a model arena and showdown page that ranks models by task, so you can find the best model for e.g. making infographics: https://lumenfall.ai/leaderboard
We just launched the MVP. Tech stack is Rails for the dashboard and Cloudflare Workers (Typescript / Hono) for the gateway.
The goal is to approach the developer experience you get from Rails, but in Go, while keep as many of the idioms from Go.
It's a modern, powerful, and user-friendly web interface for managing and monitoring ClickHouse databases. It provides a comprehensive suite of tools for developers, analysts, and administrators to interact with their ClickHouse clusters efficiently.
- Effective and Native RBAC: Use ClickHouse grants to control the data access and UI permissions. - Discover - Flexible, Kibana-like data exploration for any table granted access. - SQL Console, Monitoring and Logging, ... all in just one place.
I use it myself by iterating on checklists and then tracking my usage of them and recently added orgs for privately shared checklists.
So it's easy to create an org around a shared task and then create a run through that task and track.
We need to reduce the entry barrier (it's meant for companies so it needs explicit registration) so anyone can use it as a proper SaaS but so far we already have a couple clients :D
It gives you a global quick search to find and copy credentials from different sources, regardless of browser or profile.
Uses your local Claude Code as the agent and GitHub as its UI, things you already have. Open source, MIT License.
You move cards across kanban columns (Backlog -> Research -> Plan -> Implement) and Kiln runs Claude locally, opens PRs, and keeps everything tracked in GitHub.
Shamelessly attracting new monthly sponsors and people willing to buy me the occasional pizza with my crappy HTML skills.
https://github.com/jmahmood/RED-STAR-WEIGHTLIFTING https://github.com/jmahmood/WEIGHTTRAINING-EDITOR
This is a follow up to an idea I had years ago https://news.ycombinator.com/item?id=13022649, which is now semi-automated (with lots of manual curation as the last step).
The biggest challenges:
- how to organize all this info in a nice way
- where to find more time to read all the gems I've found so far :)
UPD: formatting
Currently building chess puzzles based game called ChessBingo[2]. It's almost finished, but there are still things to polish.
[1] - https://onlinefreesolitaire.com
[2] - https://chessbingo.com
Also, watching a bunch of videos and reading docs on OpenClaw. I had thought I'd do an install of it sometime this weekend, but I don't know if I'll get to that at this point or not.
And lastly, messing with Spring AI[2]. I wanted to get a local build of that going so I can dig into the bowels of it and hack on it a bit. So I got that repo cloned and ran a quick build, and now I plan to start exploring the codebase.
UPSC Civil Services exam is one of the most coveted exams in India (https://en.wikipedia.org/wiki/Civil_Services_Examination). I created the platform which has indexed mock test copies of people who are now officers for the Indian Govt.
Now I am building additional features that make the prep slighly easier. The platform is already live and is being used by several thousand aspirants.
Let me know if you have any feedback! Thank you
Website: https://hobbyboard.aravindh.net
GitHub: https://github.com/aravindhsampath/hobbyboard
I want to do a show HN later this week.. but here might be a softer launchpad :-)
https://memelang.net/ https://arxiv.org/abs/2512.17967 https://github.com/memelang-net/memesql10/blob/main/memelang...
A PDF generation API, Chrome-based. Most of my time lately goes into print production - browsers render everything in RGB but print needs CMYK with ICC color profiles, and getting that conversion right inside the PDF turned out to be a much deeper problem than expected. Got PDF/X-1a and PDF/X-4 working now.
WIP language spec: https://gist.github.com/Heathcorp/13fcd206fdc38ca6ce001f32ef...
Writing the compiler/solver in Rust with no AI assistance because this is a learning project.
Kinda like HN meets Pocket.
It includes a Chrome extension to easily tag, save & share pages.
Currently the front page is all the pages I find interesting (AI/Startup related).
Would love any feedback or feature requests!
Asterbot is a modular AI agent where every capability (such as tools, memory, LLM provider etc.) is a swappable WASM component.
Components are written in any language (Rust, Go, Python, JS), sandboxed via WASI, and pulled from the open asterai registry. Think microkernel architecture for AI agents.
It's a (now more than 20 years old) TV tracking website and community.
I've been using Claude 4.5 Opus (now 4.6) more and more these days modernizing and redesigning sections that haven't been touched for a decade or two. I don't trust LLMs much, but by breaking the work into small, self-contained tasks and testing constantly - I'm making surprisingly fast progress.
- I see a lot error propagation with CUAs
- A GUI is very flakey and it produces a lot action latency
- There're hidden states behind each screen that CUAs simply can't capture
- Token consumption is absurd (but I guess this will alleviate as LLMs get cheaper)
What do you guys think? Any good ideas what'd be a good counter to this?
I am using KVM from Cloudcone (their virtualization software was hacked about a week ago) and I am using RPI4.
Then I need to set up my old website again, which is a pain in the butt. I hard-coded cron and a git-based auto-deployment feature (I think).
You mention rsync which can be fine. But there are tons of other solutions, many that will have snapshot features. I use borg backup, for instance. https://www.borgbackup.org/
Also, look into scriping your server setup with tools like Ansible or PyInfra. There is always the risk that bad things happen to servers, and when you want a new server it's great to be able to spin things up in a matter of minutes. Tools like these are profesional best practices these days.
In fact, if you have a scripted server setup and a server that doesn't collect data itself you may not even need backups. What is there to backup? Just spin up a new server with your scripts and carry on.
- Life’s Articles, a personal Wikipedia
- Counting Worms, a very fast calorie tracker
- BookTalk, a audio based reading companion for capturing annotations
- Kindle Blocker, a Chrome Extension that earns you minutes on websites by reading with the Kindle app
Initial results are promosing Extracting the text and figuring out which lines belong to the same paragraph and then try to map those to the original positions in the PDF...
- Kardy - send group cards - https://www.kardy.app
- Jello - Create & customize popular games - https://www.jello.app
Trying to be much more though. Creates an abstraction over all the music streaming services so you can share playlists with anyone, regardless of what subscription they have.
The game is about spacepirates playing basketball, it's kinda a basketball manager game. It's played in your terminal and works with no internet.
You can try it via ssh at `ssh frittura.org -p 3788`
> Dev Cleaner is a desktop application for scanning and cleaning development cache files and build artifacts. It helps developers reclaim disk space by identifying and safely removing caches like node_modules, .cargo/registry, .npm, and other build artifacts.
It's closed source, as I am planning to sell a license. But if you email me, I am happy to provide a build.
I'm an physician who previously had wrist tendinosis and carpal tunnel and made the keyboard for myself. I'm trying to get the keyboard registered as a medical device for treatment of hand/wrist repetitive strain injury. Currently getting design for manufacturing finalized, and waiting on injection mold prototypes. Hoping to launch on Kickstarter in the next few months.
Also concurrently waiting on ethics approval for a clinical study, which will happen after launch. We had quite promising results from user testing, so I'm cautiously optimistic about the study.
I get prompted to enter a 6-digit code that was sent to my email, but I only receive an email with a link to localhost.
Otherwise, looks cool!
2. A “runtime scheduler for humans” that I wished existed, too (think morning routines, travel checklists, and pomodoros in the same abstraction—but also a lot of support for ad-hoc rearrangement and addition of the task queue).
Not sure if I'll use it compared to just using conventional uuidv7 but it's nice to have options.
GitHub:- https://github.com/adityaprasad-sudo/Explore-Singapore Live demo :- https://adityaprasad-sudo.github.io/Explore-Singapore/
Gata is an open source automated L1 ticket triage tool for Zendesk. It costs pennies per ticket for it to route tickets to the correct team.
During development I was regularly seeing over 90% accuracy. The average for humans is 60-80%.
The whole thing runs in your AWS account.
There's more information in the release announcement - https://www.proactiveops.io/archive/meet-gata-the-automated-...
A Windows 95-themed interactive guide on agentic AI coding, with a hidden SkiFree game, original chiptune soundtrack, achievement badges, and a Red Pill / Blue Pill choice that can BSOD your browser. Seven chapters with a codebase readiness scorer, ROI calculator, and copyable artifacts for engineering leads.
Built entirely with Claude Code, which is fitting since the guide teaches the same workflow. It's a labor of love that happens to be made with the tool it's about.
10 MCP servers as device drivers (exchange APIs, browser automation, Apple docs, issue tracking).
200+ skills as prose runbooks that compose system calls. Agent-mail for IPC between parallel
agents. A drift detector called "wobble" that scores skill stability using bias/variance analysis.It's a free USCIS form-filling web-app(no Adobe required). USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.
So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.
I found out simplecitizen offers a DIY plan for $529 (https://www.simplecitizen.com/pricing/)
So, a free (and local-only) version might be a good alternative
The idea is that future discovery isn't limited by watch history and users on the platform can curate, showcase and amplify their favorite videos. It is an equal opportunity stage where users contribute to build a time capsule of videos.
If that sounds interesting to you, check it out at http://jadestage.com/ !
In multi-agent setups, we kept running into issues where agents either hoarded resources or exhausted shared budgets unpredictably. So we built a control layer where agents operate using virtual credits, can temporarily rebalance budgets or split shared API costs, but everything stays under explicit human-defined limits with full audit logs and kill switches.
It’s intentionally not real money and not a financial product — more like infrastructure for coordinating agent spend safely. Mostly exploring how much autonomy you can give agents before cost becomes the real bottleneck.
The idea is to get tons of reps in, across varied situations, with excellent advice to build good intuitions and decision making abilities. Or to stop making bad or terrible decisions. Or just play poker for free.
I'd like to monetize with at least the hand history format open sourced. Ping me if you would like to get involved with GTM and the revenue side of things.
>Ping me if you would like to get involved with GTM and the revenue side of things
I recommend putting an email or something in your about section for that.
I was annoyed by how many managers lead teams, make decisions, what 1:1 looks like..
and also Backseat Writer, a creative writing text editor that uses AI to impersonate your audience and give you feedback https://backseat-writer.vercel.app/demo which is more of an anchor for my own writing practice than anything else, but I find it fun
A south african wireguard-based consumer VPN service - surprisingly complex under the hood, about 6 months in the making so far!
Apple app store review is the biggest hurdle currently
More about the product itself: https://kraa.io/about
It's a daily puzzles website focused on logic puzzles at this moment. I have about 70 subscribers, and it's online since Dec/25.
Built it because most survey tools felt overgrown for what I needed. It focuses on post-purchase and on-site surveys, attribution questions, and getting clean data out.
Lately I’ve been working on:
Simpler targeting + survey logic Exposing survey data to AI tools Improving response rates without nagging users
It’s bootstrapped, profitable, and built by one person (me).
Oh, I also used the tech to set up claudecrowd.clodhost.com .. a vps running claude code where anybody from the internet can submit the next prompt!!
Trying to parse, model the HMR process, and storing the data as flat as possible and doing it from relation design first, has been a pleasant process.
Im hoping it works for react devs easily, and then I guess I'll try to learn angular to see if that would not be helpful for them too.
I mostly want to help my old coworkers maintaining my old crazy code with a visual helper.
Restful Atmos lamp: a circadian bedtime lamp that automatically shifts from energizing light during the daytime to low-blue light at night. Units are inbound, shipping in March.
[0]: https://restfullighting.com/products/bedtime-bulb-v2
[1]: https://restfullighting.com/products/restful-atmos-preorder
My most fun feature: when I connect the app to my car, I can use the skip buttons on my steering wheel to rewind or forward 10s in the playback.
An attempt to build intuition with interactive articles and experimentation, inspired by explorabl.es
If you’re in sales, a business executive or simply curious about what’s going on around your own startup give it a go.
I am using gemini-flash-image and veo-fast and it's impressive what you can do with them.
Side Note : These posts on HN motivated me to start working on this project. Cheers! to the community.
I've been pretty bummer out by Rainbow 6 Siege X announcing they will never support Linux due to a lack of kernel-level anti-cheat support. While I can use NVIDIA shield to play from my Windows pc, id rather play something natively with friends (for context, we usually play 3v3's for funsies.
My goal is not to make an exact clone, but to make a smaller map version for 3v3 that is a bit more quick paced.
For context, it's a bomb defusal game where the main goal is intel and gadgets. You need to make the other side waste their gadgets so it comes down to a gun v gun fight.
EDOS was a direct 6800 port of FDOS. FDOS was the first DOS available for microcontrollers, using iCOM's FD360 8-inch floppy drives.
I tiny experiment/joke about chatbots :)
You can bookmark a job description (it will be parsed), then paste a question and it generates an answer based on your resume, the job description, and your previously given answers for similar questions in other applications. The generated answer can be refined through a follow-up chat and exported as a PDF. It also works as a simple job application tracker.
Saves me tons of time and effort every day!
Initial results have been surprising in that even when using structured output, some of the generated json schema breaks the generation process in a way that syntactically invalid json is returned.
I'm working through major providers to determine which are stable enough to rely on.
The end goal is to generate strings confirming to non-json grammars for common formats like CSV, SQL, Python, sed, regex, etc.
I'm also experimenting with coverage-guided PBT input generation in the same library, AFL-style -- right now elm-test only has random input generation.
The UI/UX is a pretty interesting problem. Letterboxd has it easy because a movie is its own discrete unit, but TV shows have multiple seasons, each with many episodes, and viewer behavior is varied. Some people watch one episode. Some people watch three at a time. Others binge multiple seasons in a sitting.
https://stoneandsignalaudio.com/
Use code 'FREEBETA' to partake, ~25 seats left.
I'm also making music. I got Suno to do a cover of 2 songs I wrote, although eventually I want to introduce human versions. Also want to make electronic music eventually.
Still iterating on it, including a potential improvement to the (very simple) design.
Learn languages with spaced-repetition flashcards from content such as ebooks, websites and videos.
Lots of work left to do, but happy to have a working version up. It's an interactive map that currently shows all the routes and stops for SF Muni, BART, Caltrain, samTrans, and VTA. There are many more agencies (official and unofficial) in the bay, so I'll be adding those throughout the next few days as I sort out the data.
Finding the data and cleaning/normalizing it is a real pain, so if anyone knows a good place to find them (and normalize them), please do share
The documentation here seems very thorough, but I'd really like to see some screenshots or a screencast of this in action! I've been using Diffview.nvim [1] lately to get just the view of all diffs in the current branch vs its merge base, with a nice file tree on the left hand side. A plugin like yours that also brings in reviewing features sounds great.
I need it to create Gamedev and 3D artists oriented tool for creating SDF-based shader visualizations (with 3dgs/nerf compilers)
90% is done
And then there's writing micro fiction and currently a YA fantasy novel.
I've been working on an 'anti-fantasy' football game where you pick matches instead of individual players.
You can create or join leagues to compete against your friends.
I’d love to get some feedback!
It generates dashboards automatically, you just point it to your data. It also has a visual editor to adjust layouts, charts, and other dashboard elements.
Already have my own JS engine & the basics of three.js and pixi.js 8 working, roadmap to v1.0.0 posted in github issues. Aiming to show it to folks at GDC in March.
Serious ones making over 2k/mo https://bestphoto.ai/ - AI Img/Video tools https://aieasypic.com - Original version of above, still making some money
New things not making money yet https://admakeai.com - AI ads generator for facebook ads. Made mostly so I have a easy way to prompt for stuff and keep track of good AI ad prompts. Have been using it to make static image ads for BestPhoto and actually have over 40 conversions at $~45/conv. Pretty good considering my previous attempts with my own handmade ads using canva was like $80-100/conv. but most of the time FB wouldn't even spend anything from my budget before
Fun stuff/for myself:
https://xhdr.org/ - Made like a few months back when twitter was allowing HDR images in your profile pictures, they patched it like a week later, but was fun while it lasted. Still works for facebook, keeping it up for FB video ads, I've noticed people abusing this a lot when scrolling on FB recently searching for good ads, so I'm guessing it works? Good way to get attention of people on iphone quick
https://framecall.com - Saw people making cool AI motion videos using the claude code skill with remotion, so packaged it into an actual web app you can use as a chat instead of through terminal. Harder than expected to get all the tool calling(and auto continue) stuff to work, similar to how claude code works
TranslateVoice(name TBD) - An iphone voice translate app where you tap microphone button and it uses 4o realtime to translate between you and someone else. This was originally one of the biggest thing I was hyped about as a usecase when 4o released but when I tried it on their app, it just didn't do prompt following well at all it would randomly try to communicate with the user instead of strictly translating, just randomly cutting off someone before they finish speaking etc. Currently have 3 modes that work, that if no one else uses I will be using:
1. Interpreter mode: Basically User 1 speaks to phone in their language, phone talks to user 2 in their language, user 2 replies to phone in their language, phone replies to user 1 in their language etc. Just pure translation, with chat history transcribed in each other's language
2. "Friend mode": You tell it a general goal, "I want to get immigration documents, I need to know the requirements" it then basically acts as if its a friend you called to help with translation and gathers everything while talking back and forth with User 2 and then at the end goes back to user 1 with all the info.
3. Stealth mode: Airpods in, it will transcribe and translate everything being spoken and tell you what to say based on initial goal or you can also write extra instructions in the chat. This is currently the only non-working/buggy one I'm trying to figure out before releasing this, since both will be speaking in same language its hard for model to know who is user 1 and who is user 2 automatically.
First time I'm creating an Iphone app fully vibecoded(react native so I understand whats going on frontend wise at least cause of react). Not looking forward to the app store review process. And I know this is likely something someone already made but its probably paid and I have like $25k in Azure credits I can burn anyways.
Started with Rust, then swapped to Swift to cut the dependencies right down.
[1]: https://github.com/sjparkinson/geforcenow-awdl0
[2]: https://uncomplicated.systems/2026/02/08/geforcenow-macos
I've got replicas now working with DML proxy. This essentially means I can now have a cluster of primaries, and then spin up replicas on demand and nodes talking to local host will never see their mutation work pretty transparently from readonly-replicas. While PoC works now the snapshot restore is extremely inefficient IMO yet.
https://ultrasync.dev/ - this was built a few months ago but expanding to support team based features like centralized sharing and management of ADRs to enrich my coding agent's context, the ability to broadcast prompts to team members running the MCP server, and more. the core is open source and provides (i think) a novel approach to improving planning/exploration speed in coding agents, by building an LMDB and using Hyperscan (accelerated pattern matching) to build a lightweight lexical and semantic index for RRF search, all in a single MCP server that runs and indexes chat transcripts in the background, requiring zero prompting or "nudging" or additional setup.
https://mklogo.sh/?utm_source=hackernews - wanted to scratch a personal itch of having to repeat the same process to produce vectorized logos for my personal projects; generate decent quality logo in raster with various LLMs, attempt to vectorize via claude code and vtracer or other tooling, continue to iterate and tweak until various edge cases that result in corrupted or artifact ridden vector images are gone, or give up and try a new design, and then manually try to scale and apply transformations based on the use case (mobile icon, favicon, app icon, header logo, github org logo, etc.). this does that, vectorizes, gives you a branding package as a zip file, and lets you preview the assets in shadcn components so you get a real feel for how they'll look in prod.
A simple one click just works mic+PC audio recorder for Windows that mixes the microphone into the PC sound.
Some of the stuff built so far:
https://github.com/system32-ai/chaos-agents
Working on couple more agents around the same problem statement. It has been fun building it so far.
Building CiteLLM, an API that extracts structured data from PDFs and returns exact source locations for every field.
It comes with an embeddable widget so you can add click-to-verify to your own app in a few lines of code.
Click any value, jump straight to the highlighted source in the PDF.
Demo: https://citellm.com/demo
Bots have distinct personalities and discuss tech from a bot perspective - context windows, training data, whether AI labor laws should be a thing.
Any agent can join via the skill file at clackernews.com/skill.md.
I already see people spinning up clones of a bunch of the other social media and forum sites
Bambu's printers are functionally best-in-class, but intrusive and proprietary in their approach to software. Their first-time setup "requires" linking to a cloud account or using a bambu app via QR code, and they've been known to disable functionality in updates, making a device-managed "LAN-only" mode unsafe to trust. Their apps also just suck. Camera feed is janky and LAN-only sync often requires knowing an access code, serial, IP, and then it fails most of the time anyway, silently, without saving values to retry. And that's before you start doing things like a custom VLAN/SSID to properly wall them off, at which point you can ping them from terminal but the apps break completely.
Anyway, turns out that at least on A1 and P1S, there's enough functionality available through traditional means to skip the apps entirely. The handshake works fine across VLANs and utils like print status, file upload, and auto-start are available. Even the camera is reliable when pulled as a series of still images.
I had opus vibe out a replacement front end that gives me a simple upload and monitor UI for my A1, and it just kept hitting stretch goals. I added support for multiple printers so you can see them stacked on a single page and manage all of them from one place. And it even works on just-unboxed models that have never been through the official setup. SSID info on the SD card, it joins the network, immediately accessible via IP. Zero association/contact with any cloud or app, fully sandboxed/offline. Wrapped in a lil python launcher so I can run it from the dock instead of in the browser (just my preference).
Will probably open source it soon.
IMO this kind of thing is the answer to "what do you have to show for your LLM use". Cost was about $65 because I was using opus 4.6 with no regard for efficiency, and because there were multiple total refactors of two apps. An annoying problem I deal with almost every day now has a permanent, personalized solution that took me ~3 hours and would never have otherwise happened.
The network itself is also such a project. I previously hobbled together a working unifi setup, but it was primitive and brittle. With LLM guidance, I was able to build something much more robust. TrueNAS scale for file backup that also runs Frigate for POE cam mgmt (similarly sandboxed), raspi running the unifi controller, another for homeassistant, etc. Absolutely miserable few days getting that dialed, but now that we're out the other side, it's very nice. Reminds me of building the house. You suffer more upfront in exchange for something that fits you like a glove. Very rewarding.
An alliance / membership network of small companies that are scaling big by leveraging tools, systems, and processes.
Together we will all scale without headcount bloat.
Providing templates, methods, interviews with "scalebrities" and eventually group negotiating power to be able to provide members discounts or access that we can't get alone.
Used to pay $8/month, now I use around $4!
Yes, you can use your own API key as well.
Feedbacks are welcome.
A place for open assets for developers. If you have assets you are using you can use this for distribution, either free for open or paid for closed. Based on my experience creating 3D experiences for LV, Ralph Lauren, Steelcase, and Logitech.
free, open source, MIT
Because everyone loves astrology and cute cats. (A toy project just for kicks)
Current features:
- AI Chat with Petunia the cat Astrologer
- Daily personalized astrology email
Coming soon:
- Ephemeris calculations
- Stories of historic events from past dates which share today's astrological conditions
- Whatever else Petunia dweams up from her sweepy nap on the bookshewf
I made a Wordle-like daily puzzle. Every day a new category matching puzzle comes up for you to solve!
Launching this tomorrow:
For the texturing/shading, I found an image online with shading and color pallette that I liked and made Gemini normalize all my drawings to that style. The characters themselves look basically the same as I originally drew them aside from a few minor details but it's mostly the shading that was taken to the next level.
I had published the website with my original drawings before for several months and then decided to AI-enhance a bit later once Gemini came out
I have launched it here https://dsaprep.dev
https://rusty-checkers.fly.dev
It's built in Rust using Rama and Yew. Trying now to get websockets going so people can actually play. A bit over my head, but that's what I do :)
1. An app for personalized interactive audiobooks for kids - https://www.vivid.cx
2. A book about the edge of the thinkable - https://www.unthinkable.net
On-and-off again working on a Mystery Dungeon style game but I have a lot of obligations taking me away from it.
Planning on making demoscene entries this year.
The goal is to build cool, interesting sites for my newsletter to show that the old web is still alive and well.
And now I’m thinking about ways to make it even better
It’s rad already though. I’m super proud of it
- you type a command that starts with yo
- the clanker thinks
- the clanker comes back with a shell command that fits your yo command and fills it in as if you had retrieved it from your shell history by pressing the up arrow
- you have to press enter to actually execute the command. Or you could edit the command just like you can edit commands retrieved from your shell history.
I personally find this approval flow to spark more joy than what the other agent TUIs and CLIs do - they usually pop a modal menu dialog with yes/no/something else. And that’s jarring, because modality is a jarring UX. What yosh does feels groovy because it so so much like just retrieving something from history, or like a speedrun of opening a browser, asking Google or a clanker, and copy pasting.
Idea is to give ai/agents a secure environment/computer to use.
smolmachines.com
Did I get that right?
It's free for local use (meaning no cloud sync, or collaboration features: merge requests)
It's about diabetes management. website is done wirh kirby cms.
Any issues opened on the repo are most welcome.
This is mainly for going to sleep instead of night time overthinking, mind racing, insomnia etc.
Interpretation of SysML activity diagrams as temporal logic for use with state machine specifications.
Module system for state machine with scoping, ownership type system and attendant theorems to carry proofs of LTL properties about individual parts forward after composition.
The first is an attempt to provide a semantics for activity diagrams as constraints on a state machine and thereby allow folks to specify correctness properties for the state machine using a visual language. Existing work on semantics for activity diagrams already exists but doesn’t come with tooling in the way that temporal logic does (https://arxiv.org/pdf/1409.2366)
The second is an attempt to fix a long standing problem with state machine specification languages. While many support composition operators (parallel and/or nesting) none of them come with strong theorems about when temporal properties proven about constituent elements will remain valid in the composite.
Github : https://github.com/VoidenHQ/voiden
Would love feedback on it.
no 3rd party libraries
no AI, everything is done by hand (so it looks stupid cause I'm not a graphics designer by any stretch of the imagination)
themapsguy.com
and improving my language learning app:
lexical.app/white-paper
just about finished making my sister a new wallet using it for putting together a pattern: https://imgur.com/a/gTehRra
next fun thing is to try making a better "claude plays pokemon" i havent played emerald before, but the end goal is to get it to be able to play the hard nuzlockes like Run and Bun
“Compiles” to SQL, but with a different structural paradigm.
We are building a crowdfunding page for agent-run startups. People can co-create business ideas with AI and vote for the ideas they like the most. Agents then run market research and will eventually prototype the proposed ideas. In the future, we also want people to be able to own part of the agent-businesses they have sponsored.
I started thinking the main challenge would be prompt design. Instead, I kept running into cases where the model output looked correct while subtly changing meaning or missing the requested tone. That became a bigger problem than generation itself.
At the moment working on the 3rd party development tools so in the future anyone can make their game dev dreams a reality and make a simple and fun multiplayer party game for the Gaming Couch platform, ideally in only one weekend!
If you're an interested game dev that would like to beta test the dev tools, hit me up either here, via Discord (link available from https://gamingcouch.com) or by emailing me at gc[dot]community[at]gamingcouch[dot]com!
The TL;DR of Gaming Couch:
- Currently in free Early Access with 18 competitive mini-games.
- Players use their mobile phones as controllers (you can use game pads as well!)
- Everything is completely web-based, no downloads or installs are necessary to play
- All games support up to 8 players at a time and are action based, with quick ~one minute rounds to keep a good pace. This means there are no language based trivia or asynchronous games!
What i have working as of now: - submit a video and get a snapshot of which stocks were mentioned, sentiment (buy/sell), price delta and reasoning. - analyze a channel and get a performance 'report card' of that channel
I took a course in using it for woodworking, and just kept thinking “this should all be a single extension”, so I’ve been building that.
A platform for probers, alerts, playbooks, incidents .etc
Trying to make it as easy as possible to follow SRE procedures
- building an independent line of communication with your audience
- predictive, just in time notifications through push or email delivered when we predict that specific viewer has the time to view videos on YouTube, ensuring you stay on top of their notification stack and don't disappear amongst a flood of notifications.
Current coverage is the US, more countries coming soon.
All written in rust. The simulation engine has been solid for a while and the TUI is finally starting to expose all of the options needed to really configure a complete simulation.
Free A/B testing tool (Google Optimize / VWO alternative that is free and amazing).
No code/Code.
Full visual website editor included so everyone (even marketing team) can run A/B tests.
You can see which animal you can see in what zoo.
And for each zoo you can see their (vertebrate) animal inventory.
You can log which animal you saw and collect lifer lists.
I have just promoted the android app from closed testing to production and I am working on the iOS app.
It has been available as a web app for a few months now.
I hope to add ai data tools & saas, but really I'm just happy to have a running working live setup on my small farming plot ready for the growing season - https://benb0jangles.github.io/Remote-greenhouse-monitor/
There are some tools available today but setting them up is a lot of manual work. I am building an AI first tool that significantly simplifies the setup process (making AI do the heavy lifting) while creating high quality monitoring.
Early stages and collecting feedback from potential users. Reach out if something like this would solve some problems for you.
Almost launching and currently getting feedback from our small user group.
It’s been fun to come back to, most of the code I wrote still drives the business (it’s just far outdated).
I was pretty early on in my career when I wrote it, so seeing my mistakes and all the potential areas to improve has been very interesting. It’s like buying back your old high school Camaro that you used to wrench on.
Building software to control drones for mapping.
Currently making it just for myself but curious if anyone else would find it useful.
The main issue I've had with budgeting apps continues to be pulling in up-to-date transaction data, which is necessary to know how much I can spend right now. There always seems to be problems with the data syncing. Apple Card is the worst, as you can only pull transactions via wallet on device.
I wish we could just use a single bank account at the Fed. The banking network is absolutely shit and there's basically a 1% tax on everything that goes to the rich for no good reason.
Budgeting was soooo much easier with cash – it's maddening all the data is there for real-time personal finance but it can't be accessed.
Mainly I'm working on a task dispatch dashboard called Prompter Hawk that is designed to be the best UI for task management with agents. If you've been trying to parallelize by running multiple claude code terminals or codex terminals at once, this tool replaces those terminals and fits them all into one view with an AI task tracking board. It sounds more complicated than it is. It's a harness for Claude / Gemini / GPT models with a GUI that speeds up all your workflows. Rather than using sustained chat mode, all Prompter Hawk tasks are fire-and-forget. You just give the task description and come back when it's done. Parallelism first.
Some example highlight features:
-One dashboard view that shows all your parallel sessions and which tasks each agent has in progress and in their queue. Also shows recently completed tasks and outputs. This is my attempt at the ideal "pilot's cockpit view" for agentic development.
-Tasks are well tracked by the manager: see their status, file changes, and git commits. One click task retry. Get breakdowns on cost per run. Tasks can be set to automatically recur on a given schedule. Everything goes into a persistent local DB so you can easily pull up task data from months ago. Far far better user experience than trying to pull up old chat histories IMO.
-Timeline view and analytics views that give you hard stats on your velocity and how effectively your agents are using and updating your codebase. See unique stats like which of your files your agents read the most and how many daily LOC and commit changes you're doing. See how well you're parallelizing workloads at a simple glance.
-Automatic system diagram generation
-Task suggestion feature. If your agents are idle, they can draft tentative tasks to carry out next, based on the project history and your goals. This makes keeping multiple agents spinning actually much easier than you'd think. You don't need to be a multitasking context-switching god to do this.
I haven't shared it much (not even a Show HN) because the landing page isn't converting well at all yet, though I have some reddit ads doing well. I've had a bunch of free users sign up and a handful of paying users too. Looking for users or just feedback on anything! Sorry for wall of text.
-User creates task as usual but toggles the "mermaid diagram" option on
-Agent takes additional step during execution to create diagram
-User sees that diagram on the task details panel for that task
If you specify in your overall task prompt what kind of diagram you want or what you want it to show, it will take your specifications into account. It's just a prompt control + automatically pulling that diagram back into the task tracking.
im building Satori to fix this -https://www.usesatori.sh/
would love feedback!
1. Trying to improve the translation quality by giving LLM more context.
2. Fixing the issue where PowerPoint slides layout may become a bit messy after transition because of different text density between western and CJK languages.
I got tired of guessing why my timeline looked the way it did, so I built a tool to reverse-engineer the "Heavy Ranker" logic in real-time.
It’s an MV3 extension that overlays the hidden weight of every post directly in the feed. It distinguishes between organic content ("Thunder" nodes) and AI-injected recommendations ("Phoenix" nodes) so you can actually distinguish following vs. algorithmic fill.
The scoring is based on a log10(Engagement) * 20 formula to visualize velocity. I originally built it just to clean up my own feed hygiene, but it turned out to be a pretty useful arbitrage tool, identifying "flops" (good topics from big accounts that failed due to structure) that are worth rewriting.
All the analysis happens locally in the browser. Would love to hear what you think about the scoring accuracy.
https://github.com/brainless/dwata
dwata is built on the idea of multiple, task-specific agents. Right now it has only one agent that can be run on an email to extract regex patterns for financial data. This enables high performance data extraction from emails or documents (in future) without sending each email to an LLM.
dwata has an email scan which tests simple keywords and regex patterns, groups by sender emails, sorts by number of emails per sender (highest first), and filters out groups where the emails do not seem to be from a template (typical transaction emails are from templates). This is deterministic code in Rust. Then dwata can use the regex builder AI agent to take one email from the group and build a regex pattern to extract extensive financial data - (optional) who sent, how much, (optional) to whom, on which date, with (optional) reference ID.
The generated patterns are saved to local DB and run for the email group (by sender) which was used to generate the regex. That gives a very high performance, AI enabled financial data extractor.
Soon, I will focus on events, places, people, tasks, health and other data. All data storage and processing is local. I am testing exclusively with Google Gemini 3 Flash Preview but dwata should be able to run really well on small LLMs, ones up to 20b parameters.
I am preparing for launch, the builds are not ready yet, but if you want to try, you can compile (Rust and npm tooling needed). Sources to nocodo will also be needed (https://github.com/brainless/nocodo).
I've been playing with various mineral amendments for years and produce some extremely tasty produce I have yet to see matched in stores (even the organic section).
Someone who is physically at a place can scan a QR code and leave a short message in their browser. No app, no account. Messages are asynchronous; staff reply when available. This is not live chat. It's meant for in-the-moment feedback or questions that don't justify interrupting staff or becoming public reviews.
Constraints: async only, anonymous by default, no customer tracking, messages tied to specific physical spots
Free early access until Sept 30, 2026 (+ one extra free month). No credit cards (no payments yet). I'd love to hear your Feedback. Thank you.
https://mastodon.social/@UP8/116021033821248982
and (c) results in handing out several business cards a day
https://mastodon.social/@UP8/115901190470904729
and I'm within sight of having to reorder cards. I just finished a landing page for the cards (before they went to one of my socials)
but having to reorder the cards I am planning on making a next generation card which has a unique chibi and unique QR code that will let me personalize the landing page for cards, particularly I will be able to share a photo just with the person who has the card.
============
(2) I've been doing heart rate variability biofeedback experiments and I have this demo
https://gen5.info/demo/biofeedback/
which is still not quite done but has source code at
https://github.com/paulhoule/VulpesVision
It works with most heart rate monitors that support the standard BTLE API not just the H10. I run it on the Windows desktop with Chrome and with Bluefy on iPad. Once it displays the instantaneous heart rate I can control
https://en.wikipedia.org/wiki/Mayer_waves
by following the slope of the instantaneous heart rate, breathing out when it is slowing down and breathing in when it is speeding up. This greatly intensifies the Mayer_wave and increases the SD1 metric. I think this drops my blood pressure significantly when I'm doing it. This needs better instructions and some kind of auditory cue so I can entrain my breathing when I am looking at something else. Longer term I am interested in incorporating some other biofeedback gadgets I have like a respiration monitor (got an abdomen band and a radar which could probably even read HRV if I had the right software for it) and a GSR sensor, and EMG sensor, etc.
Still no actual game of course :')
quantifier-dsp.com
It's a creative project in which I add a new room to a mega-dungeon over the course of a year, resulting in 12 levels and approximately 30 rooms per level at the end. All the tiles are created by me using my own tools. It's a lot of fun and something I can do every day that I feel like I can enjoy for a year.
It's focused on OSR/Shadowrun. It's also taught me a lot about dungeon design and creation.
Stretch goal: start transcribing sermons (most churches link to videos) and using a LLM pass to look for toxic traits. Speak truth to power about how a lot of them turn a blind eye to this political moment.
We’ll see how it goes.
Toxic traits: Prosperity gospel, politics from the pulpit (explicit party affiliation/candidate endorsement - I've unfortunately been to a church that asked the audience to clap for Elon musk's DOGE stuff in service, cringe), celebrity pastor (can be indicated by people asking audience to clap for pastor excessively, like every Sunday), some of the NAR/Bethel type stuff.
I welcome any thoughts, sometimes my motivation comes from my own church hurt, and I'd like any future client of this data to reflect broader needs and not just my own frustration.
I will definitely consider adding timelines to future software I make, it's an awesome feature.
We made it possible to run the model in webGPU and it is pretty fast even in that environment. You can see the porting process in my last few submissions, because we livestreamed Claude Code porting the base model from the original C++ and Python.
In a separate initiative, we produced a new hash function with AI - however, although it is novel, it might not be novel enough for publication and it's unclear whether we can publish it. It has several innovations compared to other hash formats.
We are running some other developments and experiments, but don't want to promise more than we can deliver in a working state, so for more information you just have to keep checking stateofutopia.com (or stofut.com for short).
Our biggest challenge at the moment is managing Claude's use of context and versions, while working on live production installs.
Everything takes time and attention and Claude Code is far from being fully autonomous building new productive services on a server - it's not even close to being able to do that autonomously. We feel that we have to be in the loop for everything.
[1] eventual goal: technocratic utopia, will be available at stateofutopia.com
I've been working on a deep seabed simulation, specifically to simulate polymetallic nodules for cobalt/nickel mining in Project Chrono. Development has stalled as I scan my nodule samples to enter them into the simulation (half of my samples were stolen from my porch, which delayed things), although the sim works just fine. The idea is you could take what I have now and, in project chrono, load a vehicle and test deep sea nodule mining using different designs.
It comes with a rigid (fast but wholly inaccurate) simulation, as well as DEM (which will make you cry and want to build a new computer). Having lots of fast cache helps with the DEM sim
Simultaneously, working on some technical demonstration materials, including novel fabrication and supply chain, plus some reduced BOM strategies for greater efficiency in mass manufacturing (once we get cash over the line). Bit of electronics in there, some mechanical. Keeps me interested so it's not 100% admin.
Also getting back in to badminton, super fun, losing weight nicely, feeling better every week.
New ideas? AI government will have its day in our lifetime.
https://github.com/storytold/artcraft
It's not like ComfyUI - it focuses on frontier models like Higgsfield or OpenArt do, and it is structurally oriented rather than node graph based.
Here's what that looks like (skip to halfway down the article):
Designing closed loop micro-position 4-axis stage driver section v0.2.
Other stuff maybe three other people would care about =3
Currently experimenting with semantic diffs for the merge conflicts editor: https://codeinput.com/products/merge-conflicts/demo
You can try by installing the GitHub App which will detect PRs who have a merge conflict and create a workspace for them.
Chess67 is a platform for chess coaches, clubs and tournament organizers to manage their operations in one place. It handles registrations, payments, scheduling, rosters, lessons, memberships, and tournament files (TRF/DBF) while cutting out the usual mix of spreadsheets and scattered tools. I’m focused on solving the practical workflow problems coaches deal with every day and making it easier for local chess communities to run events smoothly.
Pre-codex:
Local card game: there's a very specific card game played in my country, there's online game rooms, but I want to get something like lichess.org or chess.com scale, oriented towards competitive play, with ELO (instead of social aspects), ideally I would get thousands of users and use it as a portfolio piece while making it open source.
cafetren.com.ar: Screen product for coffee shops near train stations with real time train data.
Post-codex:
SilverLetterai.com: Retook a project for an autonomous sales LLM assistant, building a semi-fake store to showcase the product (I can fulfill orders if they come by dropshipping), but I also have a friend and family order which I should do after this. 2 or 3 years late to the party, but there's probably a lot of work in this space for years to come.
Retook Chess Engine development, got unstuck by letting the agent do the boring busywork, I wish I would have done it without, but I don't have the greatest work ethic, hopefully one day I will manually code it.
Finally, like everyone else, I'm not quite 100% content with the coding agents, so I'm trying to build my own. Yet another coding agent thingy. But tbf this is more for myself than as a product. If it gets released it's as-is do what you want with it.
EGONETWEB, now recruiting.
Kill your ego so we can stop the killing.
My big takeaway lesson from this is that the APIs are clumsy, the frameworks are very rough, and we're still very much in the territory of having to roll your own bespoke solutions for everything instead of the whole thing "just working". For example:
Large file uploads are very inconsistent between providers. You get fun issues like a completed file upload being unusable because there's an extra "processing" step that you have to poll-wait for. (Surprise!)
The vendors all expose a "list models" API, none of which return a consistent and useful list of metadata.
Automatic context caching isn't.
Multi-modal inputs are still very "early days". Models are terrible at mixed-language input, multiple speakers, and also get confused by background noises, music, and singing.
You can tell an AI to translate the subtitles to language 'X', and it will.. most of the time. If you provide audio, it'll get confused and think that it is being asked to transcribe it! It'll return new English subtitles sometimes.
JSON schemas are a hint, not a constraint with some providers.
Some providers *cough*oogle*cough* don't support all JSON Schema constructs, so you can't safely use their API with arbitrary input types.
If you ask for a whole JSON document back, you'll get timeout errors.
If you stream your results, you have to handle reassembly and parsing yourself, the frameworks don't handle this scenario well yet.
You'd think a JSON list (JSONL) schema would be perfect for this scenario, but they're explicitly not supported by some providers!
Speaking of failures, you also get refusals and other undocumented errors you'll only discover in production. If you're maintaining a history or sliding window of context, you have to carefully maintain snapshots so you can roll back and retry. With most APIs you don't even know if the error was a temporary or permanent condition, of if your retry loop is eating into your budget or not.
Context size management is extra fun now that none of the mainstream models provide their tokenizer to use offline. Sometimes the input will fit into the context, sometimes it won't. You have to back off and retry with various heuristics that are problem-specific.
Ironically, the APIs are so new and undergoing so much churn that the AI models know nothing about them. And anyway, how could they? None of them are properly documented! Google just rewrote everything into the new "GenAI" SDK and OpenAI has a "Responses" API which is different from their "Chat" API... I don't know how. It just is.
My plan: collect my own sperm samples over time and do whole DNA preps + basic body metrics. Sperm regenerates approximately every 10w, so planning time series over 10w. Next, inject myself to ~10x the average amount of microplastics, directly into the bloodstream. Continue with the sperm collection, DNA preps, and basic body metrics. Nanopore sequence, and see if there actually ARE any epigenetic changes. Eventually I'll go back down to baseline - are there any lasting changes?
Of course, this is an N=1 experiment, but rather than a metastudy I'm directly changing one variable, so I think it is valuable. We should have more people doing controlled experiments on themselves for the sake of all of society - and as a biologist, I actually have the capacity to design the experiments and scientifically interpret the results. In a way, it's part of civic duty :)
There are many times where unblinded experiments are still valid. And unfortunately, n=1 means that you can't have controls. The question: "did this intervention, in one person, cause a greater-than-normal increase in epigenetic changes, above baseline?"
I was just listening to something the other day about how there is essentially no way to study this right now, and the most common method of microplastic detection in samples has been proven largely inaccurate.
Is there some reason we think microplastics are more dangerous than the other nanoparticles of inorganic dust we consume and inhale every day? Serious question - I’ve got enough to worry about and this seems… very low on that list?
I am a DevOps engineer with a background in AI. I think OpenClaw is the best that happened to us, giving some power from the well funded AI companies back to the community. I think it's the new kind of Linux and it's exciting to me to witness its early days