IRC.com – A Scriptable Web IRC Client

Hacker News

Hi HN, Long-time IRC obsessive here (some of you may remember me from the privacy wars and the freenode drama). My commitment to the protocol never died, so I built IRC.com, a browser-based IRC client where everything lives in user-editable JavaScript. The core ships with just a protocol shim and window manager; the rest is scriptable. Out of the box it feels like a normal IRC client, but if you want to automate channel ops, invent new commands, or redesign the UI, the power is yours. I’d love your feedback, bug reports, and feature ideas... especially from fellow IRC lifers! I'll be adding support for other networks soon once we are out of BETA and have I lines (or webirc auth) in place with other networks. And above all, I hope you enjoy! Cheers, Andrew

Visit product View on Hacker NewsJun 23, 2025

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

70%70% 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

58%58% 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

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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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