Prpolish, a CLI that uses AI to write and review your GitHub PRs

Hacker News

After getting slammed with 15 comments on my first pull request during an internship, I realized how frustrating it is to write good PRs — especially after hours of debugging and fixing code. So I built prpolish, a simple CLI tool that helps developers: - Autogenerate PR titles & descriptions using AI (OpenAI GPT) - Run "vibe checks" to catch vague commits, missing tests, or low-quality messages before review - Optionally push your branch and open the PR with GitHub CLI It supports your own PR templates and is fully open-source. I made it for myself but realized other devs might find it useful too. Would love feedback or suggestions! GitHub: https://github.com/yashg4509/prpolish PyPI: https://pypi.org/project/prpolish/ Install: pip install prpolish Thanks!

Visit product View on Hacker NewsJun 20, 2025

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

79%79% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

Similar products

Review GitHub PRs with AI/LLMs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Review GitHub PRs with AI/LLMs

Hacker News2

CheepCode – Write Tasks in Linear. Get PRs in GitHub. $1 Each30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CheepCode – Write Tasks in Linear. Get PRs in GitHub. $1 Each

Hacker News3

How Pagecord Uses AI43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How Pagecord Uses AI

Hacker News3

My Go library for commenting on GitHub PRs36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Go library for commenting on GitHub PRs

Hacker News2

3,001 Uses of a Paperclip43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

3,001 Uses of a Paperclip

Hacker News4

Ncdu, but Uses Sloccount43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ncdu, but Uses Sloccount

Hacker News2

CheepCode – Write tasks in Linear/Jira/etc. Get PRs in GitHub. $1 each56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CheepCode – Write tasks in Linear/Jira/etc. Get PRs in GitHub. $1 each

Hacker News1

A Portfolio website for every one that uses GitHub45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Portfolio website for every one that uses GitHub

Hacker News4

Find PRs updated after the review23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find PRs updated after the review

Hacker News1

Open-Source Stacked PRs on GitHub60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-Source Stacked PRs on GitHub

Hacker News2

Browse all products Analyze your launch