AIMirror
May 22, 2026 · via hackernews.com
AI-powered analytics that explains why users struggle, not just what they did.
Bridges gap between raw analytics and design insights by surfacing frustration signals and confusing flows, helping designers make evidence-based UX improvements faster.
AIMirror is a behavioral analytics engine that goes beyond pageviews and click maps to detect signals of user frustration — rage clicks, hesitation, dead clicks, and broken flows — then uses AI to explain *why* those friction points are happening. The core value proposition is closing the gap between quantitative 'what happened' data and qualitative 'why it happened' insight, which has traditionally required separate tools or dedicated researcher time.
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