natelorenzen

Brain activation analysis for visual content — thumbnails, landing pages, and videos. Powered by BERG and Meta FAIR TRIBE v2 (CC-BY-NC-4.0).

19
3
100% credibility
Found May 02, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Brainiac is an open-source web app that analyzes thumbnails, videos, and webpages using neuroscience models to predict human visual brain responses and suggest design improvements.

How It Works

1
🔍 Discover Brainiac

You hear about this free tool that shows how images and videos light up the brain, perfect for better thumbnails or ads.

2
📝 Sign up quickly

Create a free account with your email in seconds, no credit card needed.

3
Agree to basics

Check a few boxes to confirm you're okay with privacy and using results for learning.

4
Pick your analysis
📺
YouTube channel

Enter a channel name to scan recent video thumbnails.

🖼️
Image upload

Drag in thumbnails to see brain responses.

🎥
Video upload

Upload a short clip to track brain activity over time.

🌐
Webpage

Paste a URL for desktop and mobile screenshot checks.

5
🧠 See the brain light up

Wait a moment while it predicts brain reactions, then watch heatmaps glow on your content.

6
📊 Get smart tips

Review activation scores across brain areas and read simple suggestions to improve your designs.

🎉 Designs that grab attention

Now you know what visuals spark the brain most, ready to create better thumbnails and videos.

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Star Growth

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AI-Generated Review

What is brainiac-public?

Brainiac-public is a TypeScript web app for brain activation analysis on visual content like YouTube thumbnails, landing pages, and videos. Drop a channel handle to scan recent thumbnails with BERG models, correlating predicted visual cortex responses (face detection, text processing, etc.) against view counts for actionable insights. Upload videos for TRIBE v2 time-series heatmaps showing engagement dips, or screenshot webpages for desktop/mobile ROI breakdowns—outputs include viridis overlays and Claude-powered design recs.

Why is it gaining traction?

It stands out by grounding creative optimization in real fMRI data, not heuristics—channel analysis ranks brain regions by Pearson r to views, revealing what visuals drive performance on *your* audience. Free self-hosting with Supabase and Modal keeps costs low for brain activation experiments, while non-commercial CC-BY-NC licensing fits open brain github research without legal headaches. Early adopters dig the zero-fluff dashboard and exportable results for brain activation activity prototyping.

Who should use this?

YouTube creators tweaking thumbnails based on brain activation correlations, marketers A/B-ing landing pages via ROI heatmaps, or indie video editors spotting low-activation timestamps. Ideal for devs building agent brain github tools or researchers exploring brain activation for language and cognitive measures without scanner access.

Verdict

Grab it for non-commercial brain activation analysis prototyping—docs nail self-hosting, but 18 stars and 1.0% credibility signal early-stage maturity. Solid for tinkerers; skip for production until more battle-testing.

(187 words)

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