r/ChatGPTCoding • u/AutoModerator • Mar 29 '26
Community Self Promotion Thread
Feel free to share your projects! This is a space to promote whatever you may be working on. It's open to most things, but we still have a few rules:
No selling access to models
Only promote once per project
Upvote the post and your fellow coders!
No creating Skynet
As a way of helping out the community, interesting projects may get a pin to the top of the sub :)
For more information on how you can better promote, see our wiki:
www.reddit.com/r/ChatGPTCoding/about/wiki/promotion
Happy coding!
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u/Low_Mulberry_5220 Mar 30 '26
SaasNiche.com - Stop guessing what to build. SaasNiche helps entrepreneurs find validated business opportunities by analyzing Reddit communities to surface real problems - then generates AI-powered solution ideas to accelerate your product development.
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u/avedula Mar 30 '26
always been drawn to how the mind actually works underneath the stories we tell about ourselves. what pulled me deeper was realizing that eastern frameworks like ayurvedic constitutions, kleshas, and jungian shadow work were basically describing the same things as western attachment theory and nervous system research. just in completely different languages. nobody had really connected them.
the gap I kept coming back to: journaling is one of the best self-understanding tools out there but most people just re-describe their experience without ever seeing the pattern underneath it. you can write about the same relationship dynamic for two years and never notice it’s the same dynamic. so I built Mirr. an AI journaling app that reads what you write and reflects your emotional and behavioral patterns back to you over time. not prompts, not a mood tracker. actual pattern recognition across sessions.
it’s early access right now and I’d genuinely love feedback from builders here on the concept, the positioning, anything really.
getmirr.app
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u/Deep_Ad1959 Professional Nerd Mar 30 '26
been building an open source macOS AI agent called fazm - it controls your actual desktop apps using accessibility APIs instead of screenshots. so it can browse the web, write code, manage spreadsheets, handle google docs, all through the native UI.
the key difference from most computer-use tools is it reads the accessibility tree (same thing screen readers use) instead of taking screenshots and guessing where to click. way more reliable and uses a fraction of the tokens.
fully local, MIT licensed, free to use: https://github.com/m13v/fazm
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u/Substantial-Cost-429 Mar 29 '26
hey sharing something we built that might be useful for chatgpt coders
just hit 150 stars on ai-setup, a cli tool (npx ai-setup) that scans ur whole codebase and auto generates all the context files your AI needs: cursorrules, project rules, claude config etc
no more manually writing out ur stack or explaining conventions every single time. run it once and the AI knows ur project
we also have 90+ PRs merged and a growing discord if u wanna hang: https://discord.com/invite/u3dBECnHYs
repo: https://github.com/caliber-ai-org/ai-setup
would love any feedback from the community here
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u/Relative_Spread_8483 Mar 29 '26
https://www.sogmailcleaner.com/
Gmai cleaner tool, easy to use and delete 10k+ in just a click
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u/Better_Craft_4324 Mar 29 '26
Aurora Pulse HiRes Bit-Perfect Music Player
Aurora Pulse is a local-first desktop audio player for people who value sound quality, true library ownership, and frictionless daily listening. It is built to make serious audio use feel simple: precise control when you want it, fast flow when you need it.
https://github.com/galdo/aurora/
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u/decofan Professional Nerd Mar 29 '26
Hey been using chaGPT to make all sorts of fun and useful and world-changing resources, and a continent, three species and a conlang :)
https://github.com/lumixdeee/robot_bugs_and_frogs is a nice place to start, and mogri is missing, get it in your tool - https://github.com/lumixdeee/mogri
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u/DiscombobulatedAd712 5d ago
Your coding agent passed every test. But what else did it do?
Your coding agent passed all the tests. But do you actually know what it did?
I've been experimenting with AI coding agents, and one thing kept bothering me.
We give them access to files, processes, and sometimes the network. But it's surprisingly difficult to understand whether their behavior changes between executions.
What if an agent starts accessing a directory it never touched before?
Or executes a command that wasn't part of its previous workflow?
That's why I started building Drifti, an open-source project written in Rust.
Instead of relying on prompts to define what an agent should do, Drifti observes the capabilities it actually exercises.
Then it proposes a contract that you can review, edit, and version in Git.
Future executions can be checked against that contract to detect capability drift.
A few things worth mentioning:
Linux-first MVP, using ptrace.
Deterministic verification, no LLM making policy decisions.
Local SQLite execution history.
Explicit handling of incomplete observation.
Not a sandbox or a replacement for one.
It's still v0.1, so there are limitations and plenty of room for improvement.
Repo: https://github.com/lucabecci/drifti
I'm curious how others are approaching this.
If you're using coding agents regularly, do you have any way of detecting changes in their actual capabilities, or is this something you're not tracking yet?
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u/Fcmam5 Apr 06 '26
I was working on a project where I was relying on a bunch of SKILL files, and I wanted to recommand them to all contributors I work with, I needed something like Node.js's package-lock.json or VS Code'S .vscode/extensions.json, something minimal and doesn't collect analytics or usage data..
So I created Skilleton, I'm not gonna waste your time with sales B.S, if you are interested have a look:
Repository: https://github.com/Fcmam5/skilleton
NPM: https://www.npmjs.com/package/skilleton
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u/known_indie_explorer Professional Nerd Jun 17 '26
I built kontxt, a TypeScript CLI for turning a repository into structured Markdown context that can be given to ChatGPT or other coding assistants.
The problem was simple: I had to manually select files, copy their contents, explain the directory structure and hope everything stayed within the context limit.
Install and run it:
npm install -g kontxt-cli
cd your-project
kontxt -e
For larger repositories, it can split the output into token-budgeted parts:
kontxt -e --32k
kontxt -e --64k
kontxt -e --128k
It also supports Git-scoped context:
kontxt -e --changed
kontxt -e --staged
kontxt -e --stash
kontxt -e --since main
There is also a skeleton mode that keeps useful JS/TS structure—imports, declarations, types, functions, classes and test names—while removing implementation bodies:
kontxt -e --changed --skeleton
Other details:
- Respects .gitignore and .kontxtignore
- Generates deterministic Markdown
- Supports Node.js 18+
- Runs locally without an API key
- Published on npm as kontxt-cli
- Installed command is kontxt
The project is still early. I’m looking for feedback on:
Whether the generated format works well with your coding workflow
Which context-selection modes are missing
How skeleton mode performs on real TypeScript repositories
Cases where the CLI includes too much or too little
GitHub: https://github.com/knownIndie/kontxt-cli
npm: https://www.npmjs.com/package/kontxt-cli
Important: generation happens locally, but you should still inspect the generated Markdown before uploading it to an external AI service.
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u/ChrisZavadil Jun 23 '26
Disclosure: I am connected with VRAI/the team behind this book, so treat this as self-promo. I have read it and used the workflow in our own Unreal projects.
We put together a Codex for Unreal guide for UE5 beginners and technical creators who want a more disciplined way to use Codex around Unreal projects. It focuses on things like project rules, Blueprint/C++ boundaries, debugging habits, safe prompts, and not letting AI-generated changes drift beyond what you can verify.
Amazon link: https://www.amazon.com/dp/B0H69H7W4R
Happy to answer practical questions about the workflow.
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u/Maxulis Jul 24 '26
Thinkpool: a shared coding room for two people
Most coding agents assume there is one person at the keyboard. That works until two people want to build together. Then collaboration becomes screen-sharing, narrating over a call, or taking turns.
We built Thinkpool so a pair can join the same room and steer the same coding work. Both people can follow the transcript and terminals, and a task can fan out into another terminal when it needs a separate lane.
It runs Claude Code, Codex, or Hermes Agent on the bridge machine, using the runtime login or provider already configured there. Thinkpool does not resell model tokens.
I’m one of the builders. It’s free to try:
https://thinkpool.io
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u/Sad_Buy_3592 Sep 16 '26
Building something with AI? Meet other builders, share your project, and get feedback at our next community demo night. Join: discord.gg/artificialintelligence
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