Zipy

Zipy is an AI-powered user insights platform that helps teams understand how real users experience their web applications. It combines session replays, error tracking, performance monitoring, and product analytics into a single workspace, enabling faster diagnosis and resolution of issues. The primary purpose of Zipy is to bridge the gap between engineering, product, and support teams by providing precise, context-rich visibility into user behavior and application health.

Zipy records user sessions with high fidelity, allowing teams to replay interactions to see exactly what users did before an error, slowdown, or drop-off occurred. Its error monitoring surfaces JavaScript errors, API failures, and console logs alongside session replays, so developers can reproduce and debug problems without relying on vague user reports. Performance monitoring captures key metrics such as page load times, Core Web Vitals, and network performance, helping teams identify and prioritize performance bottlenecks. Integrated product analytics provide event-based insights, funnels, and behavioral patterns, enabling data-driven decisions on feature adoption, UX changes, and product improvements.