ResourcesBy Baptiste O'Donovan4 min
5 Free GitHub Repos That Blew Up This Month, and What They Do
Resources
- God's Eye View, free, MIT licensed, over 54,000 stars
- System Prompts Leaks, free, CC0, over 69,000 stars
- FreeLLMAPI, free to self-host, MIT licensed
- MarkItDown, free, built by Microsoft, MIT licensed
- OpenStock, free, AGPL-3.0 licensed
These five GitHub repos blew up over the past month, and every one of them is free.
God's Eye View puts live planes, ships and satellites on a 3D globe in your browser. System Prompts Leaks shows you the hidden instructions behind Claude, ChatGPT and Gemini. FreeLLMAPI puts 34 free AI providers behind one connection. MarkItDown, from Microsoft, turns your PDFs and Office files into clean text an AI can read. And OpenStock is a free alternative to paid stock market platforms.
Below is what each one does, what you can do with it today, and the catches worth knowing. Star counts are from GitHub on 13 October 2026.
What do these trending GitHub repos do?
God's Eye View: a spy satellite in your browser
God's Eye View has over 54,000 stars, and it's added more than 7,000 of them since 4 October alone. It's a photorealistic 3D globe with live aircraft, ships, satellites, earthquakes and public traffic cameras on it, and it runs locally in your browser.
You can start without an account or a single API key. Optional keys add extras, like talking to the globe by voice. Try following a ship into port, then switching to a public camera looking at the same water.
System Prompts Leaks: see how AI chatbots are told to behave
System Prompts Leaks has over 69,000 stars. It collects the system prompts behind popular chatbots and coding tools, including Claude, ChatGPT, Gemini, Grok and Claude Code. A system prompt is the set of instructions a chatbot gets before you type anything, so reading one shows you why it answers the way it does.
These are collected by the community, not published by the AI companies, so treat them as a snapshot. If you write prompts for your own AI tools, they're a good look at how the big labs structure theirs.
FreeLLMAPI: 34 free AI providers behind one connection
FreeLLMAPI has over 34,000 stars. It pools the free tiers of 34 AI providers, with 635 free model endpoints and up to 7.4 billion tokens a month, behind one OpenAI-compatible API. When one provider hits its rate limit, it moves your request to the next.
Running it yourself is free. There's also a paid plan, at $19 a year, that gets new models the same day instead of a month later. Its own README says it's for personal experimentation and learning, not production, so use it to prototype, not to run your business on.
MarkItDown: turn your documents into text your AI can read
MarkItDown is Microsoft's, and it has almost 190,000 stars. It converts PDFs, Word, Excel and PowerPoint files, plus HTML, CSV, images, audio and more, into Markdown. That's plain text that keeps your headings, lists and tables, which AI models handle far better than a raw PDF.
It's a Python tool. Install it with pip install 'markitdown[all]', then run markitdown your-file.pdf -o document.md.
OpenStock: a free alternative to paid stock platforms
OpenStock has just over 20,000 stars. It gives you real-time prices, alerts and company data, just like the paid stock market platforms, except you pay nothing. You also get stock search, a watchlist, TradingView charts and a market heatmap.
It isn't a brokerage, and nothing in it is financial advice.
Are these GitHub repos free and safe to use?
All five are free to download and run. Four are MIT or CC0 licensed, so you can use them for almost anything. OpenStock is AGPL-3.0, which means that if you change it and run it as a service for other people, you have to publish your changes too.
The catches are in the data and the free tiers. God's Eye View's code is MIT, but the data it shows belongs to each source and carries its own terms. FreeLLMAPI depends on other companies' free tiers, which can change, and its README links a provider-by-provider review of their terms. And as with any code from GitHub, read what it does before you run it on a machine with your work on it.
Want tools like these working for your business, not just your side projects? Read our insights on AI implementation, or take the free AI bottleneck test to see where AI would save your team the most time.
