DEDUPED Hot AI repos, turned into use cases Get 5 a day

What you can do with Pooled

Pooled runs one open language model across the browsers and devices in a room, so people can chat with it or use it from coding agents.

Trended earlier

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

4 use cases

  • Chat with a big open model Pooled across your devices

    Open one room link on your laptop and phone to run a 27B or 35B open model together, then chat with it in the tab.

    View prompt
    Using the Nehanth/pooled repository, open the room link <room-link> in two browser tabs on different devices, pick the Qwen3.6 35B MoE model, and send the message 'Hi'. Expected output: a reply from the model in the chat. Verify that both tabs list the room's devices and that the reply appears in both.
  • Point a coding agent at a Pooled room's model

    Run the Pooled bridge on your computer so Codex or Claude Code sends requests to the room's GPUs.

    View prompt
    In the Nehanth/pooled repository, run `npx @pooled/cli serve "<room-invite-link-or-code>"` and then send a chat request with curl to http://127.0.0.1:8080/v1/chat/completions using model 'pooled'. Expected output: a JSON chat completion from the room's model. Verify that the room's chat shows the request.
  • Have a room's model build and fix a small app

    Switch a room to Code mode, describe an app, and let the model write, preview and fix it in the tab.

    View prompt
    Using the Nehanth/pooled repository, open a room in a browser tab, switch to Code mode, and ask for 'build a tetris game'. Expected output: a set of files and a running preview on port 5173. Verify that the preview runs without console errors after the model's fix step.
  • Run the experimental 125B Flash model from disk

    Load Qwen3.8 Flash, which keeps most of its experts on disk, in one Chrome tab and speed it up by joining a second PC.

    View prompt
    In the Nehanth/pooled repository, open a room in Chrome, select Qwen3.8 Flash, accept the roughly 99 GB storage prompt, and send 'Hi'. Expected output: a reply after a few seconds on a single machine. Verify that the room shows the model as loaded and the reply uses the 64K context setting.

How to use Pooled

  1. Check you have what it needs: A browser with WebGPU support, such as Chrome, on a computer or phone with a GPU; A room link from someone who started a room, or the Start a room button on the site; Free disk space and a stable connection for the model download, about 17 GB for the 27B model and about 22.5 GB for the 35B MoE model.
  2. Open Nehanth/pooled on GitHub and read the README and license.
  3. Open https://pooled.run and choose Start a room, or open a room link someone shared with you.
  4. On each extra device (laptop, desktop or phone), open the same room link in a browser tab.
  5. Pick a model in the room's model picker that fits the total GPU memory of the devices in the room.
  6. Wait while each device downloads only its own layers, then type a message in the chat.

These steps come from our top use case, Chat with a big open model Pooled across your devices, which also has a copy-paste agent prompt.

Pooled alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and small groups of friends or colleagues who want to run a large open model on the hardware they already have, without installing software or making an account.
  • Why it is hot
  • LanguageJavaScript
  • Sourcegithub.com/Nehanth/pooled · Back to Hot repos

Requirements

  • A browser with WebGPU support, such as Chrome, on a computer or phone with a GPU
  • A room link from someone who started a room, or the Start a room button on the site
  • Free disk space and a stable connection for the model download, about 17 GB for the 27B model and about 22.5 GB for the 35B MoE model
  • Node 22 or newer for the command line bridge (npx @pooled/cli)
Maintain Pooled? Add the Featured on Deduped badge

Paste this into your README:

[![Featured on Deduped](https://dedupedai.com/badge/nehanth-pooled.svg)](https://dedupedai.com/use-cases/nehanth-pooled/?ref=badge)

More badge styles and HTML

Questions about Pooled

What is Pooled?

Pooled runs one open language model across the browsers and devices in a room, so people can chat with it or use it from coding agents. It is an open-source project on GitHub: https://github.com/Nehanth/pooled.

Who is Pooled for?

Developers and small groups of friends or colleagues who want to run a large open model on the hardware they already have, without installing software or making an account.

What can I do with Pooled?

4 use cases so far, for example: Chat with a big open model Pooled across your devices; Point a coding agent at a Pooled room's model; Have a room's model build and fix a small app. Each has steps and a copy-paste agent prompt.

What do I need to run Pooled?

A browser with WebGPU support, such as Chrome, on a computer or phone with a GPU; A room link from someone who started a room, or the Start a room button on the site; Free disk space and a stable connection for the model download, about 17 GB for the 27B model and about 22.5 GB for the 35B MoE model; Node 22 or newer for the command line bridge (npx @pooled/cli).

What are alternatives to Pooled?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Pooled safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.