LLM plugin to automatically generate Git commit messages

Hacker News

This is a small plugin for Simon Willison’s llm utility. It uses staged Git changes and generates a commit message using a LLM. You can do things like: git add . # Stage your changes llm commit # Automatically generate a commit message from the staged diff llm commit --model gpt-4 --max-tokens 150 --temperature 0.8 --yes # Customize model settings (e.g., GPT-4) or skip confirmation

Visit product View on Hacker NewsFeb 22, 2025

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

84%84% 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.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% 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

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

17%17% predicted probability of success on BetaList, 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.

Correct prediction on native model

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