Comment by BohdanPetryshyn
1 month ago
Five months into building product analytics for conversational AI. Started by targeting vibe coding tools like Lovable but realized most of them don't care about user experience yet. With monthly churn over 50%, they focus on acquisition, not retention.
Now shifting to established SaaS companies adding AI assistants to their existing products. Some of them literally have people reading chats full time, so they actually value the experience.
Building https://lenzy.ai - 2 paid customers, 2 pilots, looking for more and figuring out positioning.
The pivot from vibe coding tools to established SaaS makes sense. Those early AI tools are in pure growth mode - they'll worry about retention once they hit some ceiling.
Established companies adding AI assistants is interesting because they already have baseline metrics to compare against. They know what good user experience looks like in their domain, so when the AI chat experience is terrible, it's obvious.
What's the biggest gap you're seeing between what these companies think they need to measure vs what actually matters for AI chat quality?