Launched this week
Cleo AI
AI Product Operator for AI-native teams
68 followers
AI Product Operator for AI-native teams
68 followers
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.
Cleo AI
Summarizing failure traces from tools like Cursor or Claude Code is a very specific, useful niche. Sometimes It is hard to see the pattern of why an agent keeps failing across different files. Does Cleo suggest the actual code fix, or just the high level why behind the failure?
Cleo AI
@ritikgupta_01 cleo does everything, while it doesn't write code, it handoffs to the agent that's connected, cleo's work is orchestrating and building the company memory for their product, knowing what works and what doesn't with real signals and deterministic approaches, we're still improving it
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?
Cleo AI
@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
Congrats on the launch!
Closing the loop from customer signal to shipped feature is exactly where most small teams bleed time. Does Cleo help prioritize across conflicting signals (e.g. one big customer vs many small ones), or is that still a human call?
Cleo AI
@dmitrii_volosatov yeah, we do sort high level signals, in fact we also run tests if those signals really make an impact or not, we test everything about the product end to end. We're trying to build something that reallly helps new companies building anything in/with AI 100x their product
I've been using coding agents for uni projects and when they spiral it's genuinely hard to tell if it's a prompt issue, a context issue, or just a bad spec. the idea that Cleo can spot a pattern across multiple failures and surface it as a product signal rather than a one-off bug is actually a different way of thinking about it. but when Cleo says a fix 'did not work' after two weeks, does it tell you why it didn't work, or just that the metric didn't move?
Cleo AI
@shwet_gaur yes, we don't only gather metrics to see it didn't work, we write tests and test pipelines end to end via the agent, the coding agent can interact with us via mcp and Cleo can provide context, we use an evidence graph for this, it's one of our mvp features, we don't just see analytics, that's passive. We're not a PM agent, we test product scenarios and environments where they fail so your agent knows what to fix and ship, it's not just a number telling, continuous autonomous loops in real time
HasData
covering coding-agent failure traces is the part nobody else taps. nice angle
Cleo AI
@sergeynagorny yup, we're working on optimizing pipelines for products from shipping features to end product, interested to try the beta release?
Cleo AI
We've opened up the waitlist!
Coding agents gave every team more velocity.
Cleo gives them product memory.
Built for startups who're becoming 100x companies, apply here to be one of the first: https://cleo.axcelner.com/