Lenzy – Find out what users struggle with in your AI agent, for free

Name: Lenzy – Find out what users struggle with in your AI agent, for free
Availability: InStock
Author: BohdanPetryshyn

by BohdanPetryshyn·Feb 18, 2026·4 points·4 comments

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AI Analysis

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Conversation analytics for AI agents when PostHog/Amplitude don't capture intent from user speech.

Strengths

•Detects churn signals and frustration without forced thumbs-up/down ratings
•Free discovery tier removes signup friction for validation
•Automatic sentiment + error pattern detection trains faster than manual labeling

Weaknesses

•AI agent monitoring is emerging—hard to validate product-market fit pre-traction
•Requires SDK integration, limiting adoption to teams still building (not retrofitting)

Post Description

Hey HN,

I’m Bohdan, building Lenzy - product analytics for conversational AI.

With traditional Web/Mobile UIs, we know exactly how users interact with our buttons and screens thanks to tools like Amplitude or PostHog. In conversations with AI, users literally say what they want and what frustrates them. Yet most teams building AI agents are flying blind, relying on intuition and occasional user feedback.

Lenzy fills this gap. It plugs into any AI conversation and tells you exactly what users struggle with and what they actually use your agent for. Fix the most painful problems (and verify they're fixed), double down on features that resonate.

And we just launched a free Discovery plan: plug in the Lenzy SDK (~10 minutes), collect a week of data and get a full report. No credit card required™

You get an actionable snapshot of what's happening in your chats. All we ask in return is feedback! What’s missing? What would make this useful for your team? Do you already solve this problem in any way?

https://lenzy.ai