CommitGenius – AI-Powered Commit Messages with Zero Setup

Hacker News

Hey HN, I built *CommitGenius*, a CLI tool that generates commit messages based on your code changes—completely offline using local LLMs (via [Ollama]( https://ollama.ai )). ### Why? I got frustrated while writing commit messages during a coding session. Instead of wasting time, I took a quick 20-minute break, fired up *Windsurfer IDE*, and built this tool. Sometimes, the best solutions come from just scratching your own itch! ### What It Does - Analyzes your staged code changes to understand what you've done - Generates clean, conventional commit messages that actually make sense - Works 100% offline—no cloud dependencies, no context switching - Minimal setup—just install and run ### Quick Start ```bash cargo install commitgenius git add . cmgenius ``` Example output: `feat(auth): improve JWT token validation and error handling` Would love to hear your thoughts—any feedback or ideas to improve it? Also, what’s the most useful tool you’ve built in a single coding session?

Visit product View on Hacker NewsJan 31, 2025

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best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% 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

28%28% 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

15%15% 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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