You can now run Gemini CLI in the browser

Hacker News

Hello HN, we are thrilled to share with you in preview BrowserCode: A FOSS web app to run TUI agents (such as Claude Code, OpenCode, Gemini CLI and the like) fully in the browser. This first release focuses on Gemini CLI and Claude Code will follow soon. BrowserCode is released under the Apache License, version 2.0. BrowserCode is based on BrowserPod ( https://browserpod.io ), an in-browser WebAssembly-based code sandboxing technology that can currently run Node.js, python, git, bash and many other command line tools. This will further expand to Ruby / Rails, Go, Rust and eventually x64 Linux binaries. BrowserCode is free to use and unlimited. You'll need to login to each CLI with the corresponding credentials, i.e. with your Google account or API key for Gemini CLI. All the data and execution stays completely local to the browser and it's persistent across sessions thanks to a disk backend based on the Origin Private File System API or IndexedDB. This is a preview release, so please try and break it! Please report issues on GitHub ( https://github.com/leaningtech/browsercode ) and star the repo if you like our work. Your support will help us push this project forward. For any question or feedback please consider joining our Discord: https://discord.leaningtech.com

Visit product View on Hacker NewsApr 30, 2026

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

90%90% 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

74%74% 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, io · Missing: https docs, excited, just released

47%47% 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: google · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% 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

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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