Kopai is the cloud for AI agents. Build the agent; we run it. Publish any agent as an API (native or OpenAI-compatible, with streaming), list it in the marketplace, or call it from your own product. Analytics count what an agent costs to run separately from what it earns. A one-command benchmark runs it against reference agents before you ship. Certification expires, and answers get re-checked. Chat and the API use the same engine, so an exported agent behaves like the one you tested.
Domain experts have knowledge worth paying for, but their income is capped by their calendar. One consultation, one hour, one client at a time. AI agents change that math: package what you know once, and let it solve the same problem for hundreds of people without you in the room.
Building the agent turned out to be the easy part. The real questions were: how do you package knowledge so an agent actually knows it, how do you prove the agent works, how do you charge for it, and how does a stranger trust an agent from someone they've never met? That's the layer nobody had built, so we built it: an agent harness, RAG and orchestration, an evaluation pipeline, and a pay-per-use ledger that handles the entire money lifecycle.
We're deliberately not chasing publish counts. We're running workshops with domain experts and tracking one number: paid usage per agent. Alongside that, we're deploying the same infrastructure into enterprises that need production-grade agents running behind their own firewall.
Two markets, one stack. We'd rather prove both work than assume either does.
Try building an agent, or just poke at what's live, and tell us where it breaks.
Kopai launched on Product Hunt on September 8th, 2026 and earned 107 upvotes and 10 comments, placing #12 on the daily leaderboard. Kopai is the cloud for AI agents. Build the agent; we run it. Publish any agent as an API (native or OpenAI-compatible, with streaming), list it in the marketplace, or call it from your own product. Analytics count what an agent costs to run separately from what it earns. A one-command benchmark runs it against reference agents before you ship. Certification expires, and answers get re-checked. Chat and the API use the same engine, so an exported agent behaves like the one you tested.
On the analytics side, Kopai competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Kopai performed against the three products that launched closest to it on the same day.
Who hunted Kopai?
Kopai was hunted by Surya Sekhar Datta. 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.
Surya Sekhar Datta
Hey Product Hunt! 👋
I'm Surya, co-founder of Kopai.
Domain experts have knowledge worth paying for, but their income is capped by their calendar. One consultation, one hour, one client at a time. AI agents change that math: package what you know once, and let it solve the same problem for hundreds of people without you in the room.
Building the agent turned out to be the easy part. The real questions were: how do you package knowledge so an agent actually knows it, how do you prove the agent works, how do you charge for it, and how does a stranger trust an agent from someone they've never met? That's the layer nobody had built, so we built it: an agent harness, RAG and orchestration, an evaluation pipeline, and a pay-per-use ledger that handles the entire money lifecycle.
We're deliberately not chasing publish counts. We're running workshops with domain experts and tracking one number: paid usage per agent. Alongside that, we're deploying the same infrastructure into enterprises that need production-grade agents running behind their own firewall.
Two markets, one stack. We'd rather prove both work than assume either does.
Try building an agent, or just poke at what's live, and tell us where it breaks.
Kopai: https://usekopai.com