Today we’re launching KNOA on Product Hunt.
We built it because the most valuable knowledge in teams is often tacit: how things really work, why decisions were made, and the “gotchas” you only learn after shipping. KNOA runs guided AI interviews to pull that knowledge out and turns it into structured docs you can share, search, and build on.
Wow, KNOA looks amazing! I love the focus on capturing tacit knowledge. How well does it handle nuanced or potentially conflicting opinions within a team?
This is interesting, curious what problem does this solution solve that existing interview, note-taking, or research tools can’t ?
This looks great. Does it also integrate with Confluence/Notion or similar knowledge bases?
What everything can be connected? (Like Slack communication, Confluence texts, video calls/meetings)? Do you also have SOC?
Seems like a useful tool for knowledge transfer when then team members are transitioning out of the company.
What stood out to me about KNOA is how much it seems to prioritize clarity over cleverness.
In products that deal with knowledge or understanding, it’s easy to overcomplicate the interface in an attempt to look powerful. KNOA feels more intentional than that — the experience appears designed to help users stay oriented and confident, rather than constantly reminding them how much is happening under the hood.
As a first impression, the product feels calm and trustworthy, which is often what makes people come back to tools like this instead of feeling overwhelmed.
Strong concept. Tacit knowledge is where teams lose the most context, and the guided interview to structured report flow looks well designed from the screenshots.
Curious how this handles nuance at scale though, especially conflicting expert input or evolving processes. Do reports surface uncertainty and rationale, or converge into one “clean” version?
Solid execution on a real problem. Would love to see long-term reuse examples.
Interesting take on institutional knowledge. A common issue with AI-captured docs is that they become outdated fast. Does KNOA have a mechanism to flag or archive 'stale' knowledge as the product evolves, or is the focus purely on the initial capture? The interview-style approach to documentation is a smart move
