AuthorTrail – Browse files you've touched in a Git repo

Hacker News

This was more so an exercise in prompting with Lovable and Cursor than it was in creating a highly polished product/tool. Yet the end result works :) AuthorTrail is a locally running web UI that you can point to any Git repo. It will then look for all the files you have ever touched. This can be useful for large repos with lots of activity, where you want to remind yourself how you did something in the past. For example, I am using it to remind myself how I wrote an obscure unit test, without needing to browse my older PRs. Feedback welcome!

Visit product View on Hacker NewsDec 22, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, lovable, activity · Missing: mac, agents, macos

95%95% 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 · Missing: https docs, excited, just released

59%59% 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

49%49% 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

38%38% 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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Correct prediction on native model

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