Generate docs for any GitHub repo (+ RAG chat)

Hacker News

Hi everyone, not having docs for a library / tool you want to use can be super annoying and while reading through the code can be fun, you don't always have the time. So, I made this tool where you can generate documentation for any GitHub repo. Since all files get embedded/summarized anyways, I'm storing this info in a database and you get a RAG-chat for the entire codebase for free! To try it out, simply open https://www.givemedocs.com/<owner>/<repo> or replace the "github.com" on any GitHub page with "givemedocs.com". And, please don't overdo it. There is some rate limiting in place but if you trigger my API key's usage limit, the service will stop working for everyone, which would be a bummer. Enjoy!

Visit product View on Hacker NewsJun 26, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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