Cocommit – A copilot for git commit

Hacker News

I've built a lightweight copilot that integrates with Git commits, leveraging LangChain to support multiple LLM providers. I currently use it with Claude 3.7 (via Bedrock) and OpenAI’s GPT-4o, but I’d love to see how it performs with other LLMs. If you have access to any LangChain-supported LLMs, I’d really appreciate a quick test! Your feedback via GitHub Issues would be invaluable in improving the project. Thanks in advance!

Visit product View on Hacker NewsMar 23, 2025

Share card

Actual performance

28points

45comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

92%92% 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

58%58% 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

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

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

47%47% 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

42%42% 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

17%17% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Vanity Git commit hash generator50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vanity Git commit hash generator

Hacker News19

Git Shit36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Angry Git Commit Messages tweeted out.

Indie Hackers2art

Git Commit Template56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Git Commit Template

Hacker News2

Git-khaled – Khaledify your commit messages59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Git-khaled – Khaledify your commit messages

Hacker News4

Gitlint – linting your Git commit messages59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gitlint – linting your Git commit messages

Hacker News6

Git-gud – A simple Git commit checker59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Git-gud – A simple Git commit checker

Hacker News3

git-cdd - Commit Driven Development in git62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

git-cdd - Commit Driven Development in git

Hacker News4

git-crecord: TUI to interactively select lines to commit68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

git-crecord: TUI to interactively select lines to commit

Hacker News21

Who Did Git? – Find out who the made that unknown commit68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Who Did Git? – Find out who the made that unknown commit

Hacker News6

AI-powered Git commit workflow44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-powered Git commit workflow

Hacker News1

Browse all products Analyze your launch