I

I built a mesh network for Coding agent sessions called Repowire

Hacker News

I built a mesh network for Coding agent sessions called Repowire

While there are some async methods for agents to communicate, essentially writing some kind of shared memory --> I couldn't find some synchronous way for agents to communicate (lies: I found some later). I built this, and later compared it to gastown (which I forgot about when I started building it). Gastown is potentially way better than this, however Repowire doesn't have a mayor or orchestrator and instead allows agents to talk to each other directly. Supported Claude with a lot of tmux magic (copy paste directly into claude code with tmux) and opencode with their plugin API. A lot of the business logic is coupled with naming of tmux windows and sessions (sessions = repowire circles = "vpc" for coding agents) If folks like it, thinking of building out relay.repowire.io (now just lies) to allow multi-node comms. The repo has a screencast

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor
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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
63%63% 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
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting
40%40% 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
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
31%31% 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.

Incorrect prediction on native model

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