Link your LLM conversations to your code via GitHub Issues

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(Like many of you) I'm creating a lot of experiments these days with Claude Code. For the benefit of others (or my future self), I really like linking Git commits to GitHub Issue threads so that I can better understand the code's context. This simple CLAUDE.md configuration extends this idea by "teaching" and "asking" the LLM to use tools to sync LLM conversations with the code that is generated by them. > This is really just another flavour of what @simonw is already doing with https://github.com/simonw/tools --- Future work - 1) This should really be a deterministic sync rather than "asking" an LLM to do it https://github.com/rdmolony/sync-claude-code-with-github-iss...

Visit product View on Hacker NewsJun 23, 2025

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

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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.

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

27%27% predicted probability of success on Indie Hackers, 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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