AI-Atlas
Your GitHub’s AI projects, scored from the actual code
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AI-Atlas evaluates public GitHub code—not stars or followers—to reveal what developers actually build. Every AI project gets an explainable score using a 7-part rubric, mapped across six fields: ML, Computer Vision, Data Science, NLP and LLMs, AI Agents and MLOps. Map any GitHub profile for free. Claim yours to explore file-level evidence, join opt-in global, country and project leaderboards, add a live README badge and get a free improvement roadmap. Built solo by a 17-year-old student.
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More like this: all 112 launches in ai intelligence and analysis tools →
PH · launched Oct 30, 2026 · 13 upvotes (top 4%)
- Horizontal
- Analytics & BI
- Developer
- AI-native
- Commercial product
- Developer Tools
- Artificial Intelligence
- GitHub
Similar launches
See all 318 similar launches →Could you build this?
Yes Pulling public GitHub repos through the API, sending code to an LLM against a fixed rubric, and displaying explainable scores is a standard data pipeline with an LLM wrapper.
Competitors
Other products that read as similar to this one : 318 launches clear the similarity bar, closest 8 shown.
Attention rank: #20 of 319 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 359 days after the earliest competitor.
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- GitVelocity · ph · 2026-10-20 · 5 upvotes · similarity 0.46