It's been really fun to build with. Agents can create parametric procedures so e.g. stick framing becomes a simple function call for the next agent, building a flywheel. There is full agent-human parity in every surface, so there is a human UI for the procedures too.
Every operation is yaml, so agents pick it up pretty quickly. Agents can also file feature requests when they reach for a tool that doesn't exist. You can export to 3d printing files, video walk-through, step files, get a BOM and a cut plan, view your project in life-size with AR. There is a notion-like interface for authoring build guides... a lot going on. If you're a woodworker/software engineer you might enjoy it.
You can add the MCP to your agent of choice, send a picture, description, sketch or whatever; say "build this with Sawdust"
I also suspect there’s a fairly finite number of sane join primitives, you can have rabbets, dados, dominos, dovetails, pocket screws, etc. These could be experimented with digitally against an existing design. And your tool availability could determine what you can do.
And of course cut order and assembly is just a DAG and can be generated from geometric constraints of the actual design.
If you are looking to improve the mcp, you should try adding a UI to it (see https://apps.extensions.modelcontextprotocol.io/api/). And the server happens to be in python, you should check out: https://mplemay.github.io/belgie/examples/mcp/. It is a project I have been working on which makes it easy to build MCP UIs from python.
The MCP server seems to have a bug. The tool list flashes for a second in Claude Desktop, but then immediately states "This connector has no tools available." and the error "Couldn’t reload tools from the server." when I try to refresh it.
This was all pre AI. Super impressive that you’ve made something awesome. I’ll try it out tonight
Try it out: https://github.com/preloopdev/preloop
https://www.idlequest.net/ - a from-scratch recreation of the 1999 MMORPG classic EverQuest, featuring a real-time MMO server written in Go, a 3D game browser-based client built with Babylon.js, and the clasic UI recreated using React. You can play it both as a regular MMORPG but also in "idle mode" where it basically plays itself. This had up to 70 players online at once a while back which was really cool, though its popularity is in a bit of a lull right now. There are still tons of bugs and stuff that isn't fully implemented (and balance issues) but it's still fun for most people who have nostalgia for it.
https://www.newyokosuka.com/ - an unofficial Shenmue MMO experience. Based on the 1999 Sega Dreamcast game Shenmue, it's playable entirely in your browser! It's basic world exploration with forklift shenanigans, some basic dialogue systems, and a basic combat system test, but I'm about to push an update that includes all cutscenes and story progression as well. The story part is taking a bit of time because I'm having to mold it to fit in an MMO context. But it's a fun project to work on and the Shenmue community loves it so far.
I used to be a mechanic, and spend a lot of my free time working on project vehicles, motorcycles, tractors, trucks etc. I wanted a tool to track the tasks I needed done, then a way to easily access VIN info for parts search, then I DMV records, and finally built an iphone app to scan the OBD2 diagnostic codes and hook them up to a custom ai diagnostic prompt.
It's been a blast to work on, I need to focus on marketing it and get some users that aren't close friends, but it's been serving my purposes this summer so far.
I've seen nothing with anywhere close to this depth of diagnostic reporting.
https://crewchief.cc https://apps.apple.com/us/app/crewchief-auto/id6760673109
I was never much of a game developer, but recently my 5 year old son wanted to play a game so we decided to build one together.
It's a boat game, you basically steer a boat in an isometric 2d world, transporting passengers, cargo etc between ports.
As we designed it, the ideas just kept on coming. He made or directed a lot of the art inside of the game (even the audio), and we included friends and family as characters within the game.
A lot of fun to build - hilarious at times. I used Lua and LÖVE2D, building basically a game engine for an isometric world, so that took significantly more time than expected.
If you want to test it [1], please do, but keep in mind it's only in Norwegian, but I am sure most people would be able to figure it out as it's meant for age group 5 and up:
[1] https://apps.apple.com/no/app/b%C3%A5tspillet/id6791630382
At this point our entire extended family and their kids, grandchildren etc are actually playing this, so it's been super fun.
- it is a collection of ~ 2700 temples across India, with images sourced from wikipedia
- it shows you a random temple each time you visit
- it has a map view of temples across India
So this is just the tip of the iceberg. I am trying to build a catalogue of all temples, starting with India, and expanding on to the rest of the world. The focus is on temples originating from Indic religions like Hinduism, Jainism and Buddhism.
I have personally discovered many cool temples that I have never heard of, but I am struggling on how to gamify this. Feedback welcome!
It's an automation game and factory builder with "falling sand" physics. Think Noita meets Factorio.
I started with Leptos - which gives you a nice declarative UI syntax and reactive elements. I used Claude to get that working on iOS, cocoa and GTK. I made a nice little iOS schedule app for attendees at conferences. It works great. All rust, native UI and a fast and small binary. The current UI code is here: https://github.com/josephg/leptos-native (not officially part of leptos). It works well, but not all of the components I want have been implemented.
At the moment I’m rewriting the core to ditch the vibe coded parts and break the whole thing into an app backend API and separate platform layer. I want to be able to write apps in wasm and have a windows / mac / Linux host that can run them using native UI. And a runner to run any app using a TUI. And have a compilation process to compile the whole thing into a single native process for app developers and to publish to the App Store.
https://store.steampowered.com/app/4564800/Dictatorship_Simu...
I really enjoy working on the app though. The backend is Elixir, with a Phoenix LiveView dashboard. I've got a cluster of 3 nodes running, talking to each other. The probes that check the monitoring targets are tiny go binaries, spread across hosting providers across the world. I've also got synthetic probes now, running in little playwright sandboxes.
A lot of the challenges have been around how to distribute work across the probes, with different strategies for the basic TCP/HTTP probes vs the synthetic workers, and how to effectively store large amounts of events (Clickhouse).
The project goals are simple:
* Treat CSV files like first-class spreadsheets; don't do anything that isn't supported by serializing to/from CSV files
* Be as performant as your favorite text editor while retaining the ergonomics of a tabular data editor
I hope you check us out.
We currently have two styles: lambda calculus based pieces (we depict the lambda/Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate. I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.
We are 200% out of our comfort zone (and love it): I know nothing of front end dev, payments, or anything like that. The diamond district in New York is a neighborhood we normally actively avoid, but if you are forced to go there it is fascinating (people examining diamonds on the corner of the street, others in fur coats in summer straight out of a mafia movie...), and especial marketing. Jewelry is a completely saturated business (luckily we are not doing this to pay the rent); we think we have a unique angle, but we are still figuring out the target audience (if there is one), how to advertise, etc.
Any ideas on marketing are welcome.
Store: https://studio-galois.com/
wireplug lets you create mesh VPNs using standard WireGuard. Your wg config files stay almost the same, except you no longer have to specify an `Endpoint` for your peers. Instead, wireplug detects all your possible endpoints (including LAN) and coordinates them with your peers for you. It handles NAT traversal and works with the in-kernel WireGuard driver on Linux and OpenBSD. This lets you keep managing your own keys and network topology, while also maintaining connectivity when moving between networks.
Currently working on improving NAT traversal by adding support for PCP and NAT-PMP.
I've worked on it for about a year, with 1700 commits. I've been going back and forth if I should just open up the canvas or also the multiplayer experience.
I've always had the dream to make some money from a side project, but I don't think this one is it, so I'll just make the entire repo public. Just want to clean up some stuff first.
Lots of fun tech used: duckDB WASM, Cloudflare Durable Objects, tldraw and pocketbase
1) grounding LLM scripture references in the actual text and eliminating hallucinations. This is the platform for that. https://withlattice.com
2) how to use AI to get people into scripture more as opposed to being a substitute for it. This is the product I made for it - it uses #1 above. https://trysojourn.app
For now, there's no backend and it's hosted on GitHub Pages; it's a static website reading chunks from an sqlite-based DB file. I intend to change it in the future by running an LLM (preferably a frontier Gemini model, as works great for Persian) over the whole data set so you won't need a key to read the translated poetry. However, I don't have the budget of $1000-$2000 to spend on the tokens currently.
Website: https://0x5ce.github.io/farsidaan
Code: https://github.com/0x5CE/farsidaan
P.S. Contributions welcome.
I just finished my master's in Psychedelics and Consciousness Studies, and built the library I wanted while studying. I started it over a year ago, but put it down until my practicum advisor suggested I dust it off and go hard on it during my last term.
As of this writing, there are over 35,700 papers by over 82,200 authors organized into 37 topics, growing daily. There's a 2D map of the whole corpus and evidence syntheses on the topic pages, plus the ability to generate your own syntheses with any prompt.
It's built with Rails 8.1, uses one Postgres (for full-text search, vectors, and job queue), and runs on a $24/mo DigitalOcean droplet that I just upgraded from the $12 tier and deploy to with Kamal. Total LLM spend so far is ~$28 in DeepSeek-V4-Flash, trending down after a big one-time backfill push.
Relevance was the hardest part to get right by far. Ensuring we keep papers on LSD the psychedelic vs Lumpy Skin Disease, or Ketamine for depression vs anesthesia in cats was no small feat. The design ended up being a cheap keyword prefilter, then an LLM rubric that accepts or rejects papers. More on that here: https://consciousnesslibrary.org/docs/article-pipeline.html
It's free, no ads, no signup to read anything, and a registered 501(c)(3) I fund myself for now. I'd really like to know what breaks or any other feedback, and would love to answer any questions about it!
I've been a bit obsessed with chess lately and have read/heard things like "X is the top engine move, but no one under master plays that line". To me this begs the questions "which line are players below master playing" and "which line are players at/above/below my rating playing". This question motivated me to build a tool to analyze the move distribution (win/draw/loss rate) from a given position across rating buckets (400, 500, 600... 3000). Luckily, https://database.lichess.org/ provides an open/free database of games that have just the data required to build such a tool.
The Rated Analysis tool consists of an 1) an offline job to compute/store the positional move distribution bucketed by rating, and 2) the https://rated-analysis.pickle-dev.com/ webpage to serve the data along with some nice to haves like loading user games from platforms like chess.com/lichess.org.
As a climber myself, to climb effectively, one has to review their own climb, and with other people. 4D video, body positions across time, is very helpful in improving climbing. I managed to get a reasonable result (far from good) from one video, rather requiring multiple camera angles.
Haven't gotten to monetization yet, but I am enjoying every moment of making it.
A read only preview at https://kmcheung12.github.io/climb-preview/w/ae43c6e5
It started getting some search impressions and clicks, so I decided to launch the next 9 of the top 10 ideas that ChatGPT came up with for this type of site - won't post all of them here, but https://the-dwell.com/ (data on ship and truck dwell times/port congestion) is doing the best thus far from a traffic perspective.
First I had it send me a weekly analysis of the GA4/GSC data to see what could be improved about the site, but I've since automated that - each week it reviews traffic and search queries, then updates articles or creates new ones to meet demand. So now in theory I have a full engine to launch these sites and have them self-improve over time. Kinda neat to see all of that being done autonomously.
The thing that these sites really need are some backlinks, so I'm thinking through how to get those. I had ChatGPT generate some lists of places that might find real value in linking to these sorts of things, but I'm unwilling to let an AI agent start emailing people. I'm going to try sending some emails to some of the places that seem like a really good fit, see what the response is, and if it's good try to figure out how to do that on a larger scale without AI email spam.
A modern database client with dashboards, saved queries, workflows, and yes, AI built into it.
I've focused on building brilliant UX over the last year, and it has paid off. I've had two emails saying that they have cancelled their Jetbrains subscription for DataGrip which has been so validating.
It's been a labour of love and I'm super happy to have disrupted even a small part of the ginormous market that is database clients.
The project combines the idea of graded readers with spaced repetition systems like Anki. You generate stories with LLMs that are tailored to your Spanish level, then click the words you don’t know. As you read more stories, the system brings those words back naturally in future stories so you keep seeing them in context.
That’s how it works on a high level but behinds the scenes, there is a good amount of natural language processing going on, majority with the spaCy package. I’m hoping one day to post a blog about it on here.
It’s been awesome to see it actually being used by people and I have had fun talking with users and implementing feedback. At my current job, I usually don’t get that level of customer interaction so it’s been nice.
I’m hoping to take it out of beta soon and launch a paid tier with higher story generation limits, while keeping a free tier available. The goal is mainly to start covering the cost of running the project and keep improving it.
If you’re learning Spanish and have a A2 level or higher feel free to check it out. And even if you don’t know Spanish feel free to ask me questions about it, I would love to talk more detail about it.
Which leads me to trying to get the processing off github actions (it's all duckdb pipelines), which has led me to improve the orchestration implementation of my 'better sql' [2] to optimize the asset based refresh flow. I'm now wiring that up in a general cloud service to give me the data orchestration platform I've always wanted. Building a multi-tenant cloud experience has been interesting!
[1]: https://greenmtnboy.github.io/sf_tree_reporting [2]: https://github.com/trilogy-data/pytrilogy
The reason I need a complete reimplementation is that existing graph layout libraries tend to be black boxes that you can't really fiddle with. If you want to tweak part of the algorithm, you have to fork it or write your own. With Eland, you can replace individual steps with your own implementation while keeping the rest of the algorithm unchanged. To ensure validity of the various steps, I've introduced contracts where every step specifies what properties it requires from the graph, which properties it promises to add, and which it invalidates, which I think is pretty cool.
The reason I need all of this is that I'm working on a system to display and browse through data lineage graphs. I've noticed through experience that existing graph layout libraries don't do quite what I need, so I ended up building my own.
A work in progress, and will stay so for much longer, I guess.
Almost none of Africa's 2,000+ languages have working ASR. I'm fine-tuning Whisper on ~217h of transcribed Kikuyu (no Kikuyu token exists, so I'm repurposing the Swahili one). A recent paper hit ~26% WER with similar data, so a usable v0 is realistic.
As a small way of standing up to them I created https://rigove.co.uk/ (rightmove without htm - the hidden toll machine ;)
If you change rightmove to rigove while browsing a property for sale you get a page which shows where else that property is listed.
It is only a few days old so it is currently more miss than hit but I plan to reach out to estate agents to increase coverage as quick as I can.
I’ve mentioned it before, but we can get some pretty good results for developing implementation and tests with this setup. The context isolation makes it easy to separate test and code writing using a specification as a source of truth. Tests are then run by an arbiter that feedback to tests or implementation depending on who it blames for test failures. The tests are then treated as an independent implementation, and through the math of coincident errors, the arbiter feedback loop ensures that both are eventually correct (N-versions and clean room research did this with humans in the 80s). This then allows us to use less reliable LLMs to develop code, like Qwen on a MacBook Pro.
I hope to have something out on GitHub before my beach period ends (well, if I’m unsuccessful in getting a new role, then I’ll have a lot more time to play at least).
So far it's going well, 30000% gains on my initial capital in 3 months very gradually over 100K trades. But I need to build some more sleeves because (a) the edge could die any time (b) I hit capacity of that edge and it can only grow linearly now.
Trying to make the world’s smallest maze solving neural network. Why? Because it’s fun. Why aren’t you?
Current champion model is 14 bytes - it solves 96.5% of unseen mazes upto 21x21.
Try it yourself on the website. Also a work in progress write up at [1]
[0] - https://minimio.ai
- https://headsnap.io -> a platform that you can generate images of yourself based on 4 selfies.
- https://quantiq.live -> a service providing financial and historical data for stocks, as well as government trades.
- https://aivestor.tech -> an AI agent that picks small/midcap stocks and trades them using Alpaca API. It uses Reddit, news, polymarket, Google Trends and many other data sources to take investment decisions.
- @Polyglot_lingua_bot -> a voice-enabled Telegram-based bot that can help you learn new languages.
- https://select.supply -> a directory of carefully-curated and well-crafted products.
All of those allowed me to quit my day job and live a comfortable and flexible life. I still invest time in maintenance and adding new features, but I love coding, marketing and everything that comes with promoting and selling a SaaS (and I also have a serious addiction for Stripe notifications).
On top of that, I developed my own software agency where I help clients build and scale software (https://bitheap.ch).
When? Is a timeline game I've been working on for a bit. It's a board game I love playing with my family and I wanted a slicker mobile version I could play with them.
It has a few potentially interesting side effects:
- enterprises can plug their preferred LLM into the SaaS they use.
- self hosters can extend their rigs into the web.
- simple SaaS products can offer LLM integrations without their entire pricing model being upended by LLM hosting and infrastructure.
- we can all live like Ender in Xenocide and have a personal AI that has context on everything we are doing.
- have a no op provider for people who are anti llm.
It's an externally orchestrated (meaning it's not the agent running the loop) spec driven agentic build system.
A bunch of buzz words but essentially it's a tool you use as the last step after planning your work and writing a spec, to actually have agents write the code.
But it happens within an orchestrator that is durable and which coordinates layers of agents to build -> verify -> review -> triage -> fix -> verify fixes , until the code you get as a result is as close as possible to exactly what you specified.
So you can plan however you want, use whatever harness or agent etc and then just delegate the build to the engine (MCP server or CLI)
You can mix and match models from any provider for any part of it.
I'm building this because I think micromanaging agents is what causes AI burnout and because I want to be able to plan work, walk away and come back knowing it's been correctly implemented.
https://engine.build if you want to be notified for the launch, it's going to be free to use and fully OSS (Apache 2.0)
Written in Swift, it consists of a SwiftUI browser and a Mac/Linux server and CLI. Shares are automatically discovered via Bonjour/avahi and also published as OPDS feeds.
It can import Calibre libraries and has basic support for managing books on Kindles, but I’ve only tested it with a MTP Paperwhite as that’s all I’ve got.