2025年9月27日 の Show HN
16 件An open source Launchpad for macOS 26 #
Still updating, open an issue if there are any problems. Hope this could help if someone updated to MacOS26 and not happy with new Launchpad :)
Thank you.
A web version of Pips game (NYT domino game) #
I’m an indie developer learning Next.js and a big fan of the NYT game Pips. Inspired by it, I built https://pipsgamer.com — a responsive web version of Pips with smooth gameplay on both desktop and mobile.
What makes this project different from NYT’s version is that you can play it infinitely under three difficulty levels: Easy / Medium / Hard.
This is the first time I’ve built a game. Along the way I ran into many difficulties: implementing the game logic, configuring the UI, matching layouts for small and large screens, etc. I spent many lonely nights and sometimes even doubted whether I could complete the whole project. After 24 days of persistent effort, the project is finally finished.
No signup required — just go and play. If you try it out I’d really appreciate your feedback: what you like, what bugs you see, what could be improved.
Thanks!
Create process, data and component diagrams from natural language #
One API for all your SMTPs #
I host my own mail infrastructure and don't rely on third-party tools to send my mails. But in a microservice architecture, managing all the SMTP configs quickly becomes tiresome. After a while I'd always have my credentials and settings scattered in application-properties, bash scripts and environment files.
So I've build Brieferl, an app where you can add your SMTP servers and send emails through a single API with a simple JSON payload. You also get logs of when/where emails were sent and HTML previews of messages.
I am interested in what you guys think about this. You can create a free account with just your email, add a SMTP server + API key and start sending. (There is no upsell, or paid plan yet)
This is super early, it works and I made it actually just for myself but a friend told me he‘d also love to use this, so I thought why not ask other developers what they think.
Is this something you’d use? Are there some features that would it more valuable for you? Or is this something only I’ve felt?
Comparing iTerm2 and Neovim Theme Similarity #
I curated a collection of Nana Banana prompt examples #
Blognerd – search posts, blogs and export OPML #
Some things you can do with blognerd - search blogs and posts - surf blogs that are similar to other blogs - find posts similar to other posts - export RSS feeds as OPML, CSV
It's rough around the edges and sometimes a bit janky, but would love feedback / ideas to make it (more) useful! Thanks!
LunchSTEM (probably) the best STEM knowledge base in the world #
Think of it as an "awesome repo" on steroids.
Ideal for going deep into STEM topics, after ChatGPT/Google gives you an overview.
- 60+ GB of resources - 10k+ PDFs - 6k+ subtopics
Note: this is our first MVP release. Many improvements are planned — check out our roadmap (inside README.md)
NextMin – Schema-Driven APIs with Hot Reloading #
NextMin is a developer toolkit designed to make schema-driven development fast and transparent. Some key features:
Dynamic Schema System – instantly generate CRUD APIs from JSON schemas
Admin Panel – React + Tailwind, live schema updates
API Router – flexible, with JWT + API key authentication
File Storage – S3-compatible upload support
Hot Reloading – backend and frontend reload without restarts
Monorepo Ready – plug-and-play with private npm packages
New: you can try it directly in the NextMin Playground here: https://nextmin-playground.gscodes.dev/
I built this because I believe dev tools should be fast, adaptable, and not locked behind walls. Would love feedback from the community.
I built an AI Colosseum to battle-test different agent architectures #
I've been obsessed with a problem: raw LLMs are powerful but unsafe for high-stakes decisions. I've spent the last few months building a hybrid architecture to make them more rational and disciplined.
To test it, I built an AI Colosseum.
The architecture is Neuro-Symbolic-Causal:
* Neuro (GPT-4o): The creative strategist that proposes actions.
* Symbolic (Guardian): A hard-coded, formally verified (TLA+) rule engine. It's the safety layer that says "no" to bad ideas.
* Causal (Oracle): An `econml` model trained on historical data to predict the long-term value of any given action.
The Colosseum is a Streamlit app where these agents compete. One of the first things I saw was the full Chimera agent choosing to hold cash to successfully survive a simulated market crash, while a simpler "LLM-only" agent lost heavily. It proved that sometimes the smartest move is not to play.
It's an early closed beta launching on Oct 7th. I'm looking for feedback from technical folks. If you're interested, starring the repo is the best way to get on the list for an invite.
Code for early access: Spartacus
Repo: https://github.com/akarlaraytu/Project-Chimera
Tech stack: Python, Streamlit, LangChain, econml, pandas_ta, TLA+.
I'll be in the comments all day to answer questions. Appreciate any thoughts or critiques.
Mermaid Editor #
I build a desktop tool to convert files & edit PDFs/audio/video offline #
I built ConvertFast, a desktop tool for file conversion and utilities that works entirely offline.
The motivation came from being frustrated with online converters — they upload files to unknown servers, have unclear privacy policies, impose file size limits, and are slow when handling multiple files. I wanted something private, fast, and unlimited.
What it does:
Converts files locally, no uploads or internet required
Supports 2,500+ formats (PDFs, images, audio, video, etc.)
Batch processing: convert dozens or hundreds of files at once
PDF toolkit: merge, split, compress, extract pages
Image tools: batch editing, watermarks, EXIF management
Audio/video utilities: trimming, speed control, audio extraction
It’s cross-platform and works on Windows, macOS, and Linux.
I’d love feedback on the idea, the implementation, and features that might be missing. Thanks for taking a look!