Version 1.0 of agent-of-empires CLI agent orchestration tool

Hacker News

Nathan here, I'm a ML engineer at mozilla.ai So stoked to mark the agent-of-empires (aoe) tool as version 1.0. We've had 30 different direct contributors to the codebase as well as many other indirect contributors via Github issues and various comments. It's a tool to make it as easy as possible to push lots of coding agents forwards at once. Powered by sandboxing, git worktrees, tmux, but all those things are managed for you so you don't need to sweat about the details. We also have a youtube channel for tutorials for those that like to learn via visual/audio. https://www.youtube.com/@agent-of-empires Thank you to the community for all the amazing feature ideas and bug fixes, and I hope you enjoy what I think is now a very good, stable, and feature filled tool. It's my daily driver for all my Claude Code agents and hope it helps others too. `brew install aoe`

Visit product View on Hacker NewsMar 26, 2026

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Launch Intel predictions

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

91%91% 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.

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

51%51% 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 · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

31%31% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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