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.
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 A common issue with AI-captured docs is that they become outdated fast.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
@klara_minarikova The results of your interview are "live pages" You can update their content/Knowledge by Creating a new session for that content, so that it will be updated!
Report
@dario_d_acierno Got it, thanks for the clarification! The 'live pages' concept makes a lot of sense for keeping things current
Report
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.
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.
But I wonder one problem that's probably more about the human side: In many teams, knowledge isn’t undocumented because it’s invisible, it’s undocumented because people are too busy.
How do you design KNOA so it competes successfully for attention? Is the value immediate enough for contributors, or do you see this more as something driven by team leads / org culture? Curious what adoption patterns you’re seeing in real teams.
Report
Is there any setting for the content, indicators, completeness, and lie recognition of this guided AI interview
Replies
KNOA
@dario_d_acierno Is it a commercialized product?
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
KNOA
@klara_minarikova The results of your interview are "live pages" You can update their content/Knowledge by Creating a new session for that content, so that it will be updated!
@dario_d_acierno Got it, thanks for the clarification! The 'live pages' concept makes a lot of sense for keeping things current
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.
Minara
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.
KNOA
@rexlian Thanks Rex!
Documentation.AI
Seems like a useful tool for knowledge transfer when then team members are transitioning out of the company.
KNOA
@roopreddy Indeed Roop, that was one of the initial use cases we designed for!
This looks great. Does it also integrate with Confluence/Notion or similar knowledge bases?
KNOA
@siim_nurges Hello Siim, you can export in JSON, Markdown and HTML for now. We have export to Notion in the roadmap, very soon :)
Minara
Hi @angelogaferrera @dario_d_acierno Love the idea!
But I wonder one problem that's probably more about the human side: In many teams, knowledge isn’t undocumented because it’s invisible, it’s undocumented because people are too busy.
How do you design KNOA so it competes successfully for attention? Is the value immediate enough for contributors, or do you see this more as something driven by team leads / org culture? Curious what adoption patterns you’re seeing in real teams.
Is there any setting for the content, indicators, completeness, and lie recognition of this guided AI interview
minimalist phone: creating folders
What everything can be connected? (Like Slack communication, Confluence texts, video calls/meetings)? Do you also have SOC?
This is interesting, curious what problem does this solution solve that existing interview, note-taking, or research tools can’t ?