Summarize your Git commit history with ChatGPT

Hacker News

I work as a solo dev and CTO (of a team of 1-3 people) for a couple different projects. Besides some larger and longer-term objectives, basically everyone I work with has very little what I do or what we're working on on a weekly basis. An additional problem is that I'm most comfortable writing in English, but most of my projects are in French. Writing non-technical summaries of changes in French was a big frustration/time sink for me. So... I built a tool to scan my git commit history and prepare a summary using ChatGPT's API. Works well enough, and I wanted to release it as a tool for others, in case freelancers or small teams had the same need. Disclaimer: I built this 90% of this last weekend. Happy communicating, and happy friday everybody.

Visit product View on Hacker NewsMar 17, 2023

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

75%75% 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

57%57% 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

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

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

42%42% 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

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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