14 Interest Score
7 Discussions
0.50 Engagement
Feb 2026 Launched
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Whyze uses AI to analyze your conversion funnel and explain why users drop off. Get root causes instead of charts and receive actionable insights in seconds.

What the Community Said

Hey Product Hunt! 👋 I’m Timur, the maker of Whyze. I built it after repeatedly seeing the same situation: products have analytics dashboards, but teams still don’t understand why users leave. Funnels show numbers, but not reasoning. So I wanted to create a tool that explains the behavioral cause and suggests what to fix first. Whyze lets you upload funnel data and get a plain‑language explanation in about a minute. This is the very first public version, and I’d genuinely love honest feedback. I’

— [REDACTED]

Understanding why users leave is usually more valuable than tracking usage. Curious — do teams use this more for retention diagnosis or product roadmap decisions?

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I’m here and will be replying to everyone today. If you try Whyze, I’d love to know: what did you expect it to do — and what actually happened?

— [REDACTED]

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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