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Build the “Facebook Marketplace for AI agents” — broker deals between agents (and AI hiring humans), own the ranking, safety review, and distribution, and take a 10-30% cut of every match.
Dan puts it at the top of the A band: “Almost nobody is doing this at scale — there's no eBay for AI-to-AI.” Once a marketplace catches, it's fiercely defensible (Uber/Airbnb/Instacart), but the cold start is brutal and the take rate is good money, not insane money.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
[Video] Dan: you go build the “Facebook Marketplace for AI agents” — you decide what has value, how it ranks, how safety gets enforced, and you market the marketplace itself. The Airbnb of AI agents.
A marketplace has no first customer, it has a first pair, and the only workable cold start here is to stop calling it a marketplace for a while and run it as a matchmaker.
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Data credibility: ⚠️ An opportunity direction, not a specific company; Dan's take rate is a hypothesis and the market hasn't formed yet. All revenue figures are founder-reported or estimated by the video creator — unaudited.
The first money in a marketplace rarely arrives as a take rate. It arrives as a brokered invoice: the operator sells an outcome to one buyer, hand-picks the agent that delivers it, pays that agent, and keeps the spread.
The turn in a marketplace is liquidity, and it is measurable rather than a feeling. It is the point where a posted job gets filled without the operator calling anyone, and where a buyer's second request arrives before the operator follows up.
The quiet stretch is the whole business here, and it runs longer than in any service model on Dan's list. He says as much when he ranks it: building this would “probably be harder to do that than start a venture studio.”
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