We Turned Codex Into In-browser AI Agent!!

Hacker News

A few months ago, OpenAI open-sourced their incredible CLI coding tool Codex — a project we at AI Republic have loved and used heavily in our own development. Today, we’re excited to share something more exciting: we’ve transformed Codex into a fully autonomous, privacy-preserving AI agent that runs right inside your browser. This new in-browser agent can understand your natural-language commands and perform real tasks directly within the web pages you’re already using — no backend, no data leaving your device, just pure local intelligence. Try it out and see the future of your work automation: https://github.com/The-AI-Republic/browserx Here is demo: https://youtu.be/Aevz0Emz-b8

Visit product View on Hacker NewsOct 21, 2025

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

97%97% 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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

56%56% 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: month · Missing: mobile apps, ios, personal

35%35% 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

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

17%17% 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.

Incorrect prediction on native model

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