nowfound

AI · June 17, 2025

CM

Chord – Multiplayer AI LLM Chats

Hey everyone, I've been hacking on this idea with a friend as we've been using chatgpt and other AI tools in our day to day work and find ourselves copy/pasting to each other frequently. We often share chatgpt links with each other, but it's been frustrating that they are read-only and we can't pickup the conversation or both talk to an LLM with shared context. We built a shared chatroom to explore what it'd be like to talk with multiple LLMs and humans in the same chat, and so far it feels pretty cool, but we're curious if anyone else would find it useful as well. Right now you can: -…

In plain words

Chord is a multiplayer chatroom that allows multiple users to interact with various AI language models, including Claude and ChatGPT, within a single shared conversation. Built for teams and collaborators who frequently share AI conversations, it enables real-time participation where users can reference each other and previous messages with shared context. Unlike read-only AI chat links, Chord lets multiple people contribute to and build upon the same conversation with multiple AI models simultaneously.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hey everyone, I've been hacking on this idea with a friend as we've been using chatgpt and other AI tools in our day to day work and find ourselves copy/pasting to each other frequently. We often share chatgpt links with each other, but it's been frustrating that they are read-only and we can't pickup the conversation or both talk to an LLM with shared context. We built a shared chatroom to explore what it'd be like to talk with multiple LLMs and humans in the same chat, and so far it feels pretty cool, but we're curious if anyone else would find it useful as well. Right now you can: - Chat with Claude + ChatGPT in the same chat - Invite others to join the same chat/thread - Reference each other and previous messages in the thread Lots of ideas on how we could improve this, any feedback is highly appreciated!

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