Vanity Git commit hash generator

Hacker News

Hi HN! This is just a fun little tool I made after I got nerdsniped by noticing that one of my commits naturally started with "fae". I thought that was cute, so I looked up existing tools that make vanity commit hashes, but none of them seemed great to me (and none supporting signing commits). I learned a fair deal about how git actually stores commits while making this, and I think I came up with a novel way to generate a vanity hash: adding an extra header to the commit file. This was just a quick project to satisfy my curiosity, but I thought you all might find it neat. Notice that all the commits in that repo start with "fae0"! - Anna

Visit product View on Hacker NewsAug 31, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, ios · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% 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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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