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Roundsman – stupid-simple CLI to run Claude across many projects

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Roundsman – stupid-simple CLI to run Claude across many projects

Roundsman is a Node.js-based CLI tool to make it easy to work on many projects with Claude at the same time. It works like this: 1. Put a `roundsman.json` in any folder you work on with Claude Code 2. Run `roundsman` from anywhere on your machine 3. Roundsman will then start visiting all your projects in order, in round-robin fashion. Upon each visit, you are expected to give a prompt. Roundsman will send that prompt to Claude, who will do the actual work. While Claude is working, Roundsman will take you to the next available project, and so-on. If all Claudes are working, you will wait until one of the projects needs you. You'll see Claude's outputs while you wait. It is kept very, stupidly, simple on purpose. I do not like windows/panels/tabs, I do not like "TUI" theatrics, and I do not like tools that I have to remember more than 2 things to use. So I made this. (There are a few advanced features available too - such as slash-commands, obviously. Like `/snooze 13` (to stop visiting a given project for 13 minutes), or `/drop` (to remove a project from the round robin list), or even `/loop 88 fix all the bugs` which will make it tell Claude to `"fix all the bugs"` 88 times. See the README for more.) Enjoy!

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, code · Missing: agents, macos, agent
89%89% 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
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
51%51% 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
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% 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
19%19% 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.

Incorrect prediction on native model

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