Today I’m excited to introduce a feature we’ve been quietly building — and it’s about to become one of the most valuable tools inside UXsniff.

The original Wayback Machine by the Internet Archive lets you see how websites looked in the past — a digital time capsule for the web. But what if you could go further and see how users behaved on those old designs? UXsniff’s Wayback Machine brings that idea to life for UX teams. It lets you revisit past heatmaps and A/B tests, compare user interactions across different design eras, and uncover which layouts truly worked — all without rerunning experiments. It’s like the Wayback Machine, but for your UX data.

In today’s digital experience world, understanding how users interact with your site—and why they behave as they do—matters more than ever. Tools like Hotjar and UXsniff aim to deliver that insight through heatmaps, session recordings, user feedback etc. But they differ in focus, maturity, feature-set and ideal use case. If you’re evaluating which to adopt (or trial), here’s a structured comparison.

Compare your current page to a past snapshot. AI analyzes session recordings and heatmaps, flags abnormal clicks, and shows conversion impact. Minimal setup.

Broken links are like that flaky friend who always bails last minute. They can seriously tarnish your site’s rep. Don’t Let Broken Links Break Your Site’s Heart.

In today’s fast-paced digital landscape, where user experience (UX) reigns supreme, the challenge for many UX professionals and researchers is not just about collecting extensive user data but efficiently extracting actionable insights from it. Recognizing this crucial need, UXsniff is excited to introduce our groundbreaking feature: GPT Summaries for Session Recordings.