Lit – Linear and Git CLI in One

Hacker News

Hi HN, I realized there is a lot of duplicate effort in managing both git and Linear issues. So made a simple CLI that feels like git, but actually modifies the Linear Issues as well. I have 3 use cases right now: 1. lit switch "description of issue" - Runs a search through Linear for issues matching the description - If multiple hits, will ask to disambiguate - Assigns issue to you, marks as in progress git checkout the branch name (creates it if it doesn't exist) 2. lit commit "commit message/issue comment" - Figures out correct issue based on branch - leaves a comment on the issue - git commit -m 3. lit checkout "Issue Title" -d "Description of Issue" -t f - Parses arguments: title, description (optional), issye type [bug, feature, improvement] (optional) - Creates new Linear Issue - Generates the Linear automation friendly branch name (exactly how Linear does it in the UI) - Does git checkout -b LinearbranchName Give it a go and let me know what you think! Also happy to publish to brew if there is enough interest. Happy Building!

Visit product View on Hacker NewsOct 30, 2025

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3points

Did not reach leaderboard

Launch Intel predictions

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

91%91% 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

44%44% 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, io · Missing: https docs, excited, just released

44%44% 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 · Strong signals: friendly · Missing: plus, platform, intuitive

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

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

26%26% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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