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Brainiac

Brainiac is a research-oriented analysis platform for evaluating visual content through predicted brain activation rather than standard engagement heuristics. The repository says it uses BERG for static images and Meta FAIR TRIBE v2 for video, mapping content to region-level activation scores across visual and full-cortex ROIs. It supports three main workflows: YouTube thumbnail-channel correlation analysis, landing-page screenshot analysis across desktop and mobile viewports, and second-by-second MP4 video analysis with dip detection, heatmaps, time-series charts, and AI-generated editing suggestions.
New Multimodal Gen 3
Released: April 16, 2026

Overview

Brainiac is an open-source neuroscience-based visual-content analysis tool for thumbnails, landing pages, and videos. It uses fMRI encoding models to predict how the human brain responds to visual media, then turns those activation patterns into actionable design feedback, channel-specific thumbnail analysis, and timestamped video editing recommendations.

About Nate Lorenzen

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Last updated: May 3, 2026
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