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GitHub tool to generate and update code documentation automatically

Hacker News

GitHub tool to generate and update code documentation automatically

Hi guys! While working in teams, internal documentation is important. But the problem is, writing it takes much time. It doesn't end there, keeping them up-to-date is a big deal as well. I built this simple tool that analyzes your codebase and automatically generates documentation right into your Github repo. Whenever you make a new commit, it analyzes the updates and modifies the existing docs to keep them up-to-date. That means, you don't need to spend time struggling with docs again. And, the new hire won't stare at the senior for that huge undocumented codebase. It works for any team size, so scalable for startups and agencies. I launched this a few weeks ago and it has already improved a lot with all the feedback from people. I am building this in public, so you can see my progress on twitter too. I would love to know your thoughts on this! Any suggestions or feedback would be highly appreciated!

Visit product View on Hacker NewsApr 29, 2024

Actual performance

6points

3comments

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

88%88% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

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

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

31%31% 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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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