NT – fly around Git worktrees from your shell

Hacker News

Got tired of fighting git worktrees, so I made nt (navigate tree). One command: nt fix-login spins up (or jumps to) a worktree at <repo>.worktrees/fix-login , cd's you in, done. Point it at a branch that already exists (local or on origin) and it checks that branch out in a fresh worktree, fast-forwarded to origin, so you're never stuck on some stale local copy (it won't nuke un-pushed commits though). nt cd / nt rm / nt home to get around, fzf pickers, zsh tab-completion. ~240 lines of zsh, MIT. Honestly you should just have your agent build this for you, takes 10 min. But if you're too scared to let it touch your dotfiles, here you go

Visit product View on Hacker NewsJun 26, 2026

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

68%68% 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 · Strong signals: exist, io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

27%27% 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

20%20% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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