Gwt-Claude – Parallel Claude Code sessions with Git worktrees

Hacker News

If you like the terminal, Claude Code is already lovely. No IDE needed. The DX friction: it lives in your working directory. Switching branches means stashing, losing context, juggling. Git worktrees fix this. This script just connects them: gwt-create feature-auth # new worktree + Claude opens gwt-switch fix-bug-42 # jump to another gwt-list # see what's running Now I run parallel features without thinking about it. No hyped AI IDE needed to find a workflow like this — just git and a shell script. zsh only. Bash port welcome. Demo: https://raw.githubusercontent.com/slowestmonkey/gwt-claude/d...

Visit product View on Hacker NewsDec 25, 2025

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Launch Intel predictions

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

96%96% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: para · Missing: mobile apps, ios, personal

52%52% 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

34%34% 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

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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