(2026-07-24) Early Buzz Tweets

Vince Canger (Vinny): I tried @jack's Buzz.xyz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on.*

Things I like:

• Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys.
• Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it.
• It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future.
• It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool.

Things I didn't like:

• You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great.
• It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead.

Greg Isenberg: I think the most interesting thing about Jack Dorsey's "Slack killer" is the idea around shared compute.*

In Buzz, one person runs the machine, loads up an open model like Google Gemma, and everyone in the community plugs into that same model.
Basically, a whole group has real AI they own and control together, running on their own hardware, learning from their own data.

A narrow, private model can quietly get better than ChatGPT for the one world your group lives in. (vs bitter lesson?)

It's impossible to copy, because the edge is the private data on your machine, not the model itself.
The moat stops being how smart your AI is and becomes whose data it learned from.

Communities become the unit of intelligence instead of companies. The group with the smartest shared brain wins, and being a member means owning a piece of it.

A shared brain becomes an asset you build equity in. You put in money and data, it appreciates, and your slice is worth something the day you leave.

You know me, obviously, my head went to what startup ideas come to mind here. Adding them to @ideabrowser soon.

• 1. The vertical brain. Pick one profession, tax lawyers or real estate agents or indie game devs, and build the shared machine trained on everything that group knows between them. A year in it's the smartest AI in that field, impossible to copy, and you own the club it lives in.
• 2. The rental marketplace for collective brains. Once these private models exist, outsiders will pay to use them.