PR Pilot – Your AI Collaborator for GitHub

Hacker News

Hey HN! I've been working on a project called PR Pilot that I'm thrilled to share with you. PR Pilot is an AI collaborator for Github issues and pull requests. Once installed in your repository, use the /pilot command in any issue/PR comment to put it to work. PR Pilot will interpret your command in the context of what you’re working on and allow you to leverage the power of generative AI in your daily workflow. It can answer questions, write code and use the internet to search for information. Key aspects that sets it apart from other AI tools: - Context-awareness - crucial for getting useful results out of LLMs - Seamless integration - Github issues are the UI - No signup, no subscription - Credit-based pay-per-use - Can be used collaboratively The documentation contains usage examples that showcase some of the ways in which PR Pilot can be helpful. Every Github user gets 500 credits for free. This is enough to run a good amount of commands and get a feel for the service. Looking forward to hearing your thoughts and feedback!

Visit product View on Hacker NewsMar 14, 2024

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

90%90% 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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

29%29% 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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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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