Usable Scroll

Usable Scroll is an AI tool created to dissect scrolling behavior on various social platforms like TikTok, Instagram, Reddit, YouTube, and Facebook.

It provides insights based on actual viewing times, attention drop-off rates, and visual interaction, instead of relying on broad metrics. The tool is powered by three distinct machine learning models, each designed to understand scroll behavior without gathering personal info.

A key function of Usable Scroll is the 'Hook Arrest'. With it, users can anticipate if a piece of content will attract enough attention to stop a user from scrolling.

By simply uploading a thumbnail and caption, users can learn the arrest probability and predicted view duration. The 'Attention Decay' feature lets users pinpoint where viewers lose interest in content, offering insights into user drop-off for each platform and type of content. Additionally, Visual DNA uses 128-dimension content fingerprinting to pinpoint content that performs similarly to your top pieces regardless of how different they look. The tool provides identical behavioral data across platforms, so users can compare elements that grab attention in actual scroll sessions.

Usable Scroll also provides an API that grants access to hook scoring, pattern data, fatigue curves, and emotional tone insights. The tool supports browsing on Chrome, Edge, Brave, Opera, Firefox, and all Chromium browsers with an extension that quietly records behavior.