Pocket – run coding agents locally or in the cloud, from your phone

Hacker News

I quietly launched Pocket this week — a mobile interface to run and manage coding agents directly on your machine or in the cloud. Think Claude, Cursor, Codex, or Gemini, but accessible from your phone. Why I built this: I often had ideas while away from my computer, and wanted a way to trigger agents, review results, and manage workflows remotely. Pocket bridges that gap by pairing with your own Pocket Server (open source). In the first 48 hours after launch: - ~150 GitHub stars - ~2k unique visitors - ~400 app installs on TestFlight Would love feedback from the HN community on: 1. Which use cases resonate most (remote coding, debugging, deployments, etc.) 2. Where this should go next (cloud agent marketplace? deeper local workflows?) Website: https://www.pocket-agent.xyz/ GitHub: https://github.com/yayasoumah/pocket-server

Visit product View on Hacker NewsAug 29, 2025

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

98%98% 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: gemini · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide · Missing: https docs, excited, just released

45%45% 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 · Strong signals: way · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

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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