Gu

Gut – An easy-to-use CLI for Git

Hacker News

Gut – An easy-to-use CLI for Git

Hi Hacker news ! I’m Julien and I built an alternative CLI for Git : gut. Even if I haven’t been coding for a long time (I’m in the first year studying computer science), I’ve always found git to be frustrating. The command naming is inconsistent and git lets you easily shoot yourself in the foot. I made gut, another git porcelain, to solve these issues. It provides a consistent naming of command. To do so, syntax is based on subcommands. For example, to delete a branch, run gut branch rm rather than git branch -d, same to delete a remote (gut remote rm) and so on. Gut also prevents you from shooting yourself. It provides nice defaults and always prompt you before doing something destructive. Also, it won’t allow you to rewrite the history if it has been pushed to the remote. Creating commits in detached head is also prohibited. Finally, git was made when GitHub and others didn’t existed yet. To diff commits, gut opens the compare view in the browser. And to merge a branch, gut opens a pull request. I have been working on this project for the past few months and I am happy to be able to share it. I hope you’ll like it. Any suggestions is welcome ! Repo: https://github.com/julien040/gut

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Product HuntOn track for Day 1 leaderboard · Strong signals: computer, new, coding · Missing: mac, agents, macos
82%82% 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
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, hacker news, ide · Missing: https docs, excited, just released
73%73% 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 · Strong signals: month, way · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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.

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