The short version
A system that extracts feedback themes and outliers from agent conversations.
From the HackerLinks archive
A system that extracts feedback themes and outliers from agent conversations.
The short version
A system that extracts feedback themes and outliers from agent conversations.
Why it caught our attention
It targets a concrete operational problem: identifying hidden requests and frustration across large conversation volumes.
Where it surfaced on Hacker News
Editorial paraphrase
The maker argued that keywords and SQL miss vague signals, while the product clusters themes and highlights outliers.
Original threadLaunch HN: Agnost AI (YC S26) – Extract user feedback from agent conversations