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Swarm Studio
Rehearse your launch on 150 AI agents before you ship
Drop in a launch plan, price change or policy draft and ask one question. Claude maps who is involved, casts up to 150 agents and lets them post and argue on a mock microblog and forum. You get a report with charts, the loudest threads and an analyst write-up, then you can interview any agent. Free and open source. It runs as a private artifact on your own Claude plan, with no API key and no server.
Claude publishes a private copy to your own Claude account. No API key, no server, nothing to host. After that it's a link you open whenever you need it. A 150-agent run takes about 25 minutes on your Claude plan.
Who it's for: founders testing a price change, marketers testing a launch message, agencies showing a client how their audience may react, and product teams checking if anyone cares before they build.
One honest caveat: it's one plausible run, not a forecast. Treat it as a rehearsal and run it more than once.
It's MIT licensed, and it was inspired by MiroFish and rebuilt from scratch to run on Claude.
What would you rehearse first? I'd love your feedback on the report: what would make it more useful?
About Swarm Studio on Product Hunt
“Rehearse your launch on 150 AI agents before you ship”
Swarm Studio was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #142 on the daily leaderboard. Drop in a launch plan, price change or policy draft and ask one question. Claude maps who is involved, casts up to 150 agents and lets them post and argue on a mock microblog and forum. You get a report with charts, the loudest threads and an analyst write-up, then you can interview any agent. Free and open source. It runs as a private artifact on your own Claude plan, with no API key and no server.
On the analytics side, Swarm Studio competes within Open Source, Marketing, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Swarm Studio performed against the three products that launched closest to it on the same day.
Who hunted Swarm Studio?
Swarm Studio was hunted by Yash Shah. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Swarm Studio including community comment highlights and product details, visit the product overview.
Yash Shah
Hey Product Hunt 👋
Before a launch, I used to guess how people would react. Now I rehearse it first.
Swarm Studio is a free, open-source tool I built on Claude. You drop in a plan, ask one question and press start. Here's what happens next:
Claude maps every person and company in your doc
It casts up to 150 agents, from the key players to the general public
They post, quote and argue on a mock microblog and forum, round by round
Every agent is polled at the end, and you get a report with charts, the loudest threads and an analyst write-up
Then you can interview any agent and ask why they pushed back
My first real run: 150 agents, 30 rounds, 821 posts and comments. It surfaced the one objection my plan never answered.
Setup is one paste into Claude Code:
Claude publishes a private copy to your own Claude account. No API key, no server, nothing to host. After that it's a link you open whenever you need it. A 150-agent run takes about 25 minutes on your Claude plan.
Who it's for: founders testing a price change, marketers testing a launch message, agencies showing a client how their audience may react, and product teams checking if anyone cares before they build.
One honest caveat: it's one plausible run, not a forecast. Treat it as a rehearsal and run it more than once.
It's MIT licensed, and it was inspired by MiroFish and rebuilt from scratch to run on Claude.
What would you rehearse first? I'd love your feedback on the report: what would make it more useful?