Launch HN: Agnost AI (YC S26) – Extract user feedback from agent conversations

Post by pqtyw » Wed, Jul 15, 2026, 11:22 AM UTC

laalshaitaan wrote: post #48

bluelightning2k wrote: post #46

Earlier quoted context omitted.

Why is it hard? Ultimately you take whatever your signal is and send it to some relatively cheap LLM. How is it easier to sign up and manage a different service, implement a different API, etc. And from the company side the fatal flaw is that these types of tools rely upon 1% of their users having huge spend. Nobody is going to be a huge spender here because it's easier to hand roll than navigate procurement on this…

it gets hard when you need this continuously across lots of chats/calls, with metadata, changing clusters, going deeper into a user journey, etc. the LLM call is just one part of it lol we're keeping it useful every week, finding out insights that the teams can extract value out of, work with them to understand users better. the procurement what we've seen is v similar to how one would have for any analytics product?…

Post by dnkzm » Wed, Jul 15, 2026, 5:10 PM UTC

Post by laalshaitaan » Wed, Jul 15, 2026, 6:08 PM UTC

gabriel666smith wrote: post #49

laalshaitaan wrote: post #34

Earlier quoted context omitted.

i like these kinds of critiques, we don’t think conversation logs or analysis on top of it is alone enough to replace observability or evals. imo they answer diff questions for diff use-cases. we're betting that there is a TONNN of product signal buried in conversations that observability misses, esp around like raging, writing in all caps, repeated prompts, frustration loops, and subtle hidden feature demand. thats…

There's definitely a tonne of signal in those, and it's a critique made from a place of strong support of your basic thesis. There's always been a tonne of signal in traditional customer support requests that goes un-used by most orgs, especially b2c orgs. In case it's helpful: I always explained it to people I was training like this: All lean product theory comes from listening to the workers actually assembling the…

Post by pqtyw » Wed, Jul 15, 2026, 8:59 PM UTC

laalshaitaan wrote: post #56

pqtyw wrote: post #50

Earlier quoted context omitted.

IMHO this would make more sense if provided as part of a larger "platform" like Langfuse/Langsmith/etc. Otherwise you just end with a dozen SaaS products for highly specific use cases which might not scale that well. Realistically do you also need to have this live with a fancy? i.e. a custom solution maybe even Jupiter notebooks initially might be sufficient. It's not like 100k messages is a very large dataset. It's…

i get the push, most teams come to us after they've done/tired of the claude running analysis thing manually and want a pro-active thing. we're also targeting conversation first use cases and for them this serves as their everything custoemrs. we obv do not sell the fancy part, idts that sells anymore lol. lot of our queries come from our slack app/mcp.

Post by rajeevbakshi » Fri, Jul 17, 2026, 12:23 PM UTC