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Cleo AI: AI Product Operator for AI-native teams

Cleo AI is an AI product operator that reads customer messages, GitHub issues, and coding-agent failure traces to generate a one-page brief and monitor metrics, enabling fast decisions for small teams.

SourceProduct Hunt AIAuthor: Yashas Gunderia

Cleo AI | AI Product Operator for AI-native teams | Product Hunt

Cleo AI

Launching today

AI Product Operator for AI-native teams

15 followers

AI Product Operator for AI-native teams

15 followers

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Business intelligence software

AI Workflow Automation

Most small product teams spend days reading hundreds of customer messages, GitHub issues, and coding-agent failure traces trying to figure out what to build next. In this era, small AI native teams in B2B can outperform large companies. Cleo does that work for you. Connect your sources, hit Run, and Cleo writes a one-page brief: the top bet, the customers asking, the evidence chain, the draft spec. Cleo watches your metrics and tells you honestly: worked, partially, did not work, or too early.

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Launch tags:Artificial Intelligence•Tech•Vercel Day

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I built Cleo because I kept watching small product teams burn Monday mornings reading 300 messages instead of making decisions.

Customer feedback in Slack. GitHub issues. Sentry errors. Customer call notes. And now failure traces from Codex, Claude Code, and Cursor when those agents get stuck. It is too much input for one founder or one PM to hold in their head every Monday.

So I made an operator that does the reading. You connect your sources, Cleo writes the one-page brief by Monday morning, you ship the call. Two weeks later Cleo watches your metrics and tells you whether the fix actually moved a number.

It is rough in places and I know it. I am looking for 3 founders or PMs willing to use it free for 30 days and tell me where it falls short. If that is you, drop a comment or DM me.

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15h ago

An AI Product Operator sounds like it could bridge the gap between PMs and devs. Does Cleo integrate directly with Jira or Linear to manage the actual ticket lifecycle?

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2h ago

Maker

@rivra_dev yep, directly to most of the workflows via mcp, api's stc natively! It even works with tools like claude code, codex or cursor where the developer's agent can ask what to ship and how are previous ships doing, metrics, achievements, or if they're working or failing in prod, we test those pipelines and orchestrate fixes automatically

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36m ago