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Orchestrator, spawn and manage Claude Code instances remotely

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Orchestrator, spawn and manage Claude Code instances remotely

Hey everyone, I built this little tool for myself over the weekend because I was struggling with managing remote Claude Code instances when I am not at my computer. This is a simple app that lets you spawn, prompt, kill and manage Claude Code instances remotely, on many remotes. For example, I have an API server and a laptop. When I go on a walk, I can prompt Claude code instances on my laptop in different directories, and also prompt Claude Code on my API server. Not only that, but I can prompt Claude code, close the app and all of the instances will continue to work and I can check in later to see their progress. Feel free to check it out, its fully free and open-source. For android, you can download the build on Github and for iOS there is a testflight link.

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3points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, computer, code · Missing: mac, agents, macos
95%95% 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: ios · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
50%50% 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
25%25% 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
16%16% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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