SaaS Metrics
Product Positioning & Context
Cleo is the AI product manager for founders and lean teams. It lives in Telegram and Slack - earns your tone, knows your team, and runs the PM work (standups, follow-ups, decisions) while you ship the product. What's different: every fact Cleo learns is transparent - you see the source, the confidence, and can confirm or correct it. No black-box memory. Five trust levels, from observer to operator. Free in Telegram. 1 min setup
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Cleo?
Cleo is a digital product or tool described as: The AI PM that runs your team
Where did Cleo originate?
Data for Cleo was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Cleo publicly launched?
The initial public indexing or launch date for Cleo within our tracked developer communities was recorded on May 22, 2026.
How popular is Cleo?
Cleo has achieved measurable traction, logging over 296 traction score and facilitating 62 recorded discussions or engagements.
Which technical categories define Cleo?
Based on metadata extraction, Cleo is categorized under topics such as: Productivity, Artificial Intelligence, Alpha.
Is Cleo recognized by media or academic researchers?
Yes. It has been covered by media outlets like Nature.com. This indicates the concept has reached a level of mainstream or scientific viability beyond just developer forums.
What are some commercial alternatives to Cleo?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Cleo Labs, which offers overlapping value propositions.
How does the creator describe Cleo?
The original author or development team describes the product as follows: "Cleo is the AI product manager for founders and lean teams. It lives in Telegram and Slack - earns your tone, knows your team, and runs the PM work (standups, follow-ups, decisions) while you ship ..."
Community Voice & Feedback
Does this work over iMessage or discord
The AI PM angle is interesting because product work is not just task creation. The hard part is explaining why a priority changed. Can Cleo show the evidence trail behind a roadmap decision, such as customer feedback, current sprint load, and launch risk?
Is the free Telegram tier enough for a 5-person team to test properly?
interesting that you started from the pain of re-explaining context every session. thats probably the biggest friction with most AI tools right now, they dont remember what matters to your team. curious how Cleo handles conflicting priorities when two people flag something as urgent, does it just surface both or does it actually help triage?
That's exactly what I needed to know — persistent memory across sessions is the killer feature for async teams. We're building Vokio (voice AI for local businesses) and the memory layer for call context is our biggest challenge too. Great work!
Curious how Cleo handles context across long projects — does it maintain memory between sessions or does each conversation start fresh? The PM bottleneck is real for small teams building fast.
How do you pull in offline context easily for remote based teams? Ideally something low lift but I would imagine capturing every single meeting would be adding a lot of non-related content.
what is the difference between Cleo and handing over a few docs for guidelines on any ai agent? genuinely interested.also, quick feedback on your comment, when you use AI to write it, remove the em dashes and make it personal! good luck!
Decisions are often the hardest thing to capture without losing context: how does Cleo detect that a decision was made in chat/meetings, preserve the “why” and tradeoffs, and prevent the decision log from becoming noisy or stale compared to dedicated decision-tracking tools?
Big Congrats on launch! Which AI models are you using? And how is company security handled?
Having an AI PM directly in Slack and Telegram sounds like a massive time-saver for lean teams. Great concept!
the confidence scoring model is the right approach. most AI tools just act on everything with the same certainty and you only find out it was wrong after it already sent the message. curious how the 30 day correction window works in practice when the team structure changes fast
Very cool launch, congrats!Sending support from the Exabase team 😌
Big congrats on the launch! The transparency model (source + confidence + fix button on every fact) is the right instinct, but I'd push further: there's a failure mode where an auditable AI quietly becomes a verification queue. If I'm confirming and correcting facts to keep Cleo accurate, I've just swapped standup overhead for memory-maintenance overhead. What's the design that keeps the audit asymmetric, where I only look when something's wrong, not to keep it right? Does Cleo surface only low-confidence facts for review, act silently on high-confidence ones, and shrink the queue as it learns my corrections?
Really proud to have worked on the design here. The hardest thing wasn't making it pretty, it was making "you can see everything Cleo knows" not feel like homework. Source, confidence, a fix button on every fact… that's a lot to surface without burying people. Took a few rounds to get the chat and the memory side to live together cleanly. Happy with where it landed
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
Deep Research & Science
Foundational academic research matching this product's technical positioning.