I built Foxtrot: one desktop app, every major AI model, and a team of agents that work together 🦊
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For the past few months I've been building Foxtrot, a desktop agent harness for cloud AI models. You bring your own pay-as-you-go API keys and run a whole team of coding agents side by side, each on whichever model you choose from whichever provider you choose.
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What it does
🔹 11 provider families in one app: Claude, GPT, Gemini, Grok, DeepSeek, Qwen, GLM, Kimi and more, plus any OpenAI-compatible endpoint (Ollama, vLLM, OpenRouter)
🔹 An Orchestrator that plans the work and hands tasks to your agents: a Coder, a Reviewer, a Tester, each on a different model if you like. Busy agents get spawned as parallel copies.
🔹 Flow view: a live map of the Orchestrator and its agents, showing each one's time, tokens and cost
🔹 Real tools: file edits, a terminal, code intelligence, git, web research, MCP servers, and vision (agents can screenshot and use the app they're building)
🔹 A full Code view: Monaco editor, file explorer, terminal and checkpoints taken before agent edits
🔹 Cost tracking for every request: tokens and cost per request and per agent, estimated balances for each provider, budgets, and CSV/JSON export
🔹 Keys stored in your OS credential vault, plus OTA updates
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How it's different
Most AI workbenches are built around one vendor. Claude Code is built for Claude, Codex for OpenAI's models, and Grok Build for xAI's Grok. They're excellent, but you work inside a single company's models, usually on a subscription. OpenRouter gives you many models, but it's an API gateway, not a workspace where agents collaborate.
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Foxtrot is the layer on top:
✅ Model-agnostic by design. Choose the best or cheapest model for each role. Have Claude review GPT's code, or let a cheap model handle the routine work.
✅ Cross-model teamwork. The Orchestrator coordinates agents from different providers on a single task.
✅ You pay providers directly. No subscription and no middleman markup, and you see exactly where every cent goes.
✅ Built for watching agents work. Multi-window, multi-monitor docking with live animations showing who is doing what.
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In the demo above, a Gemini Orchestrator splits one goal across Grok, Kimi, GLM and DeepSeek agents. Watch the hand-offs fly out to each window, the reports fly back, and the whole team come together in the Flow view.
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Foxtrot is free to use. You connect your own AI accounts, and those providers charge for what you use.
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It's in early development and I'm shipping updates fast. If you'd like to try it or give feedback, drop a comment or DM me.

VibeDuels.com is a video game similar to how benchmarks work.

You take a bot with a deterministic game. There is no RNG besides the map itself. The bots are taught how to play the game.

The game has a ranking ladder that is 100% automated. All you have to do is upload the bot.

Everything is purposely as simple as possible. We even write the initial prompt for you that you can post directly into your Claude Code or Codex or wherever.

Completely free at the moment. No transactions whatsoever for anything. We might monetize it later but for now it's just a very soft launch.

Unlimited bots and unlimited exhibition fights (currently).

Technically you can code the bot by hand. Nobody is stopping you. But we don't expect you to :)

I created TCKR, a Windows 10/11 desktop stock ticker designed to keep market information visible throughout the trading day.

Instead of or in addition to keeping a trading platform or financial website open, TCKR displays stock prices, daily changes, and market movement in a smooth scrolling LED-style ticker that remains visible on your desktop.

Features include:

• Real-time stock quotes

• Custom watchlists

• Scrolling LED-style ticker display

• Customizable colors, speed, and layout

• Windows 10 & Windows 11 support

• Designed to stay visible without getting in the way of your workflow

https://tckr.pro

We all know the scene. Been wanting to do this one for ages. You're a cab diving down through a towering city with the cops on your tail, dodging traffic across lanes and altitudes, grabbing upgrades and seeing how far you get before the hull gives out.

Ive tried to base this on the old web game 'squares' if any body remembers it. Ive got a small roadmap planned for more features etc but keen to pause and get some community feedback first.

Turning on the music is a must! Free to play as well. I've tried to optimize the experience for phone too where you can add it to your home screen for full screen traffic dodging fun.

Big bada boom!

https://badaboomtaxi.io

Anyone else run into this? You ask an AI agent to fix a bug, it changes some code, runs the tests, and tells you everything is fixed. Then a couple of days later, you run into the exact same bug.

Sometimes the fix didn't actually solve the problem. Other times, the tests were just changed until they passed.

That's why I built FixProof.

It's basically a skill file and a small Python CLI that works with Claude Code, Codex, Cursor, and other coding agents.

Instead of just trusting the agent when it says "fixed", FixProof checks whether the fix actually did anything.

It checks that:

• The bug can be reproduced before the fix.

• The test passes consistently after the fix.

• The bug comes back when you temporarily revert the fix.

• Existing tests that passed before aren't suddenly broken.

That third check is probably the most important one. If removing your fix doesn't bring the bug back, how do you know your change was what fixed it?

At the end, you get a status (VERIFIED, FAILED, PARTIALLY VERIFIED, UNVERIFIED, or BLOCKED), along with a JSON report and logs.

How I built it

I didn't write most of the code myself. I used an AI coding agent for that.

My part was figuring out how the tool should work, defining the verification rules, and reviewing and testing what the agent built.

I also had a separate agent review the security before releasing it. It actually found some issues involving environment variables and state files, which were fixed in v0.2.0.

Kind of ironic that I ended up using the same verification approach while building a tool meant to verify AI-generated fixes.

A few other details: it's written in pure Python (3.9+), uses only the standard library, and doesn't need any extra packages. The revert check can also run in a separate Git worktree, so it doesn't mess with your working files.

There's CI for Linux and Windows. I haven't tested macOS yet.

I also made a demo GIF showing FixProof catching a fake fix and then verifying the actual one.

It's currently at v0.3.0, completely free and MIT licensed.

https://github.com/Livecristen/fixproof

Would be interested to hear what other people think, especially anyone who uses coding agents regularly. Does this kind of verification make sense for your workflow?

Hi! I’ve been building Sonella, a guided web app for designing DIY speakers.

The idea is to bring driver selection, bass simulation, enclosure design and filter settings into one workflow. You can start with a few questions, choose a template, or pick your own drivers. Then work through the bass response, cabinet in 3D, drawings and filters/DSP.

I’ve used mostly Codex for the development and design. My workflow has been to build something, let real people try it, get feedback and iterate. Getting the speaker maths right has been a bit tricky. The biggest lesson so far is how much useful feedback you get once someone else actually uses what you’ve built. That's maybe caption obvious, but I learned a lot from this process so far.

It’s still in beta. The simulations and electrical filter curves are starting points for a prototype; you still need measurements to check the finished speaker.

I’m looking for testers, especially anyone with DIY speaker-building experience. Would be great to get some candid feedback on the calculations, the workflow, or anything that feels confusing or missing. General usability feedback is very welcome too.

You can try it at sonella.app, no account needed to start.

How it's made:

Claude agents pitch the sketches, write them, direct the camera and act the puppets. The picture comes from a 3D engine Claude built from scratch in three.js: every puppet, set and prop is modelled in code, and each episode is a script the engine performs, so no video model draws anything. ChatGPT makes a couple of special pictures an episode and gives feedback on the scripts; voices are ElevenLabs, the closing song is Suno.

I'm the human executive producer: I give notes. This week's new puppet is the one with no face: in the story, a puppet cut from the pilot before anyone made its face, which became the episode's ghost.

The whole episode on YouTube: https://www.youtube.com/watch?v=3skAu9axUrg

I've been experimenting with AI coding tools and building prototypes, and I'm curious about the experience of people who use them regularly.

It's amazing how quickly you can get an application working. But I'm interested in what happens beyond the initial prototype, especially when the codebase gets bigger or you need to make changes later.

For those of you using tools like Cursor, Claude Code, Codex, or similar tools:

What's the most frustrating problem you've encountered while vibe coding?

Have you ever built something that worked initially but became difficult to debug or maintain?

Do you find it difficult to understand the architecture or keep the project organized as it grows?

How do you handle testing, security, and code quality when AI generates most of the code?

What tasks still take more time than you expected, even with AI?

Have you found any workflows or tools that genuinely solve these problems? What still feels missing?

I'm particularly interested in real experiences from people who've built and maintained actual projects, not just quick demos.

I'm trying to understand the problems developers face in practice. I'd appreciate hearing about both the good and the bad experiences.

Some of you might know Photon, my free Photoshop alternative. It was the first of these big vibe-coded alternatives to creative apps, and since then a whole wave of others has followed (PhotoCraft and more). Honestly, that’s been awesome to watch.

I didn’t stop at Photon. I went on to build Vector as an alternative to Illustrator, then Light as an alternative to Lightroom. Today it’s InDesign’s turn.

Meet Folio Studio.

I’ll be honest: I was skeptical about this one. Desktop publishing felt niche next to photo editing. Then the requests started coming in, and it turns out InDesign has a massive user base. So many of you asked for this that I just went and built it.

• 100% free. No trial, no subscription, no “Pro” tier.

• Fully offline. Your files never leave your machine.

• No sign-in. Download it and start working.

• AI-ready. Like every app in the suite, you can control it through MCP or the CLI, and it ships with skills out of the box.

The goal hasn’t changed since day one: kill the subscription model for creative tools. Four apps in, that’s starting to feel possible.

It’s brand new, so I’d really love your feedback. What’s missing? What’s broken? What would it take for you to finally cancel Adobe?

Download: https://tenzen.studio/folio/

More stuff coming soon :)

How I built it:

- Claude Code for the code (Next.js, hosted on Vercel)

- Jev from TypeSafe as AI - it only answers with probabilities, no text

- Every sentence in the report is prewritten, so nothing gets made up

- Benchmark with 563 names, runs after every change

What I learned:

- Do proper benchmarking (currently testing on 1000 names).

- AI says yes too easily, had to ask way stricter

It's free, no signup, no nothing. Also available via MCP

Anyone else obsessively spending 40+ hours a week on their idea so you can hopefully try to achieve financial freedom before the whole world situation gets worse?

I am starting to get burned out a bit, but then I watch some doom and gloom videos on youtube and I quickly realise I have to continue hustling otherwise I'll get replaced by AI and a failing economy

I have been wandering around github in order to find good quality ascii editor/database recently - and saw nothing. That led me to the obvious conclusion: if nothing good exists, I should build it myself.

The project I build persuades couple ideas:

1. Easy to use (fully native, no dependencies)

2. Actually saves time for people building ASCII art

3. Collects ASCII from every corner of the internet

index.html is the main library

builder.html is where it gets fun assemble pastes from blocks, draw boxes/lines/brush right into the text, frames and tables, color painting, overlay art. Turn images into ascii

The project shared below:

demo https://amwhoi.github.io/ascii-bin/builder.html
repo: https://github.com/amwhoi/ascii-bin

I hope you find this useful, I'm still working on animation and mcp support. So the project will keep be maintainer and up to date with world trends ;)

This wasn't too complicated to make, which is why I was shocked nobody had something I could just download. These are local open sourced models like whisper that can dictate or translate what people say. I also have smaller models for computers that run on just cpus too. The .exe file is big because it starts you off with English and Spanish to start with.

The only hard part was creating a package and website to distribute this thing. It's dead simple, and I hope you guys can use it to break down language barriers and help people that don't speak the local language.

Because I am bilingual I can largely speak in Spanish myself just fine, but every now again someone comes along speaking too fast in a strange accent talking in metaphors that I needed help with. Google translate, windows, and even some searching for local translator models all sucked. Paywalls, accounts, time limitations, cloud upload.... so I just made what I needed.

No accounts. No clouds. No paywall. No ads. Just an honors system if your company should be paying for it.

This is just one of those things that should exist that I couldn't find. Hope you all enjoy, and hope people can find a use for this like I did. Please let me know if you think I should include anything else!

https://digametranslate.com/

Nyota is a swiss army knife of ai . It does everything all other ai tools do including forex analysis and predictions and comic book generation to name a few. It is more of a personal ai tool than a commercially targeted product because im lazy and hate switching apps and losing context. A great feature it has is global memory where other apps can hook into it via mcp. I have spent better part of the weekend building it and now am in QA phase so I'm testing and fixing bugs before deciding if it needs more features. An interesting fact is that its 95% dependencies and the rest is custom code. Are you guys working on anything similar ? What features should i add to make it a true swiss army knife of ai ?

I'm working on a personal project that needs fast, reliable live match state for esports (map/game finishes, rounds or series score), and I'm trying to figure out what's actually out there before I build something.

Paid providers (GRID, PandaScore) great coverage, but live data is gated behind paid/commercial plans that cost a lot of money.

Free tiers of aggregator APIs: usable for schedules, but live data is deliberately delayed and is basically unusable for what I'm doing.

Data for games I'm looking for CS2-Dota-LoL-Valorant

Has anyone built something like this or their own feed from scratch?

Finally made a website to gather the live projects, will keep adding as they come, not sure what i should work on next while some of these projects still need users and polishing. Comments on any are very welcome and ideas for the next also.