PhoneCode: Local-First ADE Running Natively on Android

Hacker News

I wanted to code locally on my phone without relying on SSH, VPS bills, etc. Most Android agentic coding apps are just that, SSH. PhoneCode bootstraps a real Alpine Linux rootfs using proot inside a native Kotlin container, giving you local shell, Python 3.12, Node.js, and git offline. It's running OpenCode underneath. As for the security, prompts go straight to the providers via models.dev with nothing in the middle (except system prompt). API keys are encrypted in the Android Keystore and there is zero background telemetry. The codebase is organized into clean Kotlin/JVM modules (app, agent, provider, etc.) with no external server dependencies.

Visit product View on Hacker NewsJun 27, 2026

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

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

57%57% 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: ide · Missing: https docs, excited, just released

39%39% 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: apps · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

28%28% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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