Wtx – Git worktrees for parallel AI agents

Hacker News

I've been working a lot lately with parallel claude sessions in a large monorepo, creating multiple PRs at the same time. Managing worktrees manually became a headache quickly (which one has which branch?), and trying to treat them as ephemeral was slow to bootstrap each time. So I created wtx to manage worktrees for me. Now I just use "wtx checkout mybranch" and claude opens in a worktree. Under the hood it keeps a reusable pool of worktrees and handles allocation + locking automatically, instead of creating and tearing them down per branch. There's more sugar included (github pr integration, tmux integration to set the terminal tab title and show which branch you're on instead of just "claude code").

Visit product View on Hacker NewsFeb 25, 2026

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

94%94% 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.

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

31%31% 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

29%29% 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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created, para · Missing: supports, reddit linkedin, podcasting

18%18% predicted probability of success on Indie Hackers, 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.

Correct prediction on native model

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