I built a cli to let AI write your git commits, README, CHANGELOG, etc

Hacker News

Hey HN After years of shame-committing with messages like "fix stuff", "update things", and "polish", I finally snapped and built SuperClaude. It's a CLI that connects Claude AI to your git workflow. You just run `superclaude commit` and it analyzes your changes, understands the context, and writes proper conventional commits that actually make sense. But then I got carried away and added: - Smart changelogs (turns your messy git history into readable release notes) - AI code reviews that catch security issues and performance problems - Auto-generated documentation - Commit annotation (adds AI notes to explain WTF you were thinking 6 months ago) The whole thing is ~84KB and your code never leaves your machine - it just talks directly to Claude's API & Github. From the CLI, just write "superclaude commit" and it generates a perfect message + commits it for you. I've been using it for days and honestly can't go back to manual commits. Feel free to use it, contribute and lmk what you think!

Visit product View on Hacker NewsJun 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, context · Missing: agents, macos, agent

97%97% 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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

43%43% 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 · Strong signals: reviews · Missing: plus, platform, intuitive

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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