I built a tool that maps brain activation responses to creative content, here's what I learned

Reddit r/ArtificialInteligence Tools

Summary

Neural Lens is a tool that maps brain activation responses to creative content using Meta's Tribe v2 model, Claude API, and Hugging Face, providing neurological data on how content resonates with viewers beyond clicks and views.

Started as a thought experiment. When Meta dropped the Tribe v2 model, I saw an opening and spent a few weeks turning it into something real. Neural Lens takes video, audio, image, or text as input and maps network activation patterns over time — showing how your brain responds to creative content, not just whether you clicked or watched. Built it solo. Self-funded. Claude API and Hugging Face under the hood. The use case I kept coming back to: creative teams spend months making content with zero neurological data on how it's actually landing. Clicks and views don't tell you why something works. This does. Try it here: https://huggingface.co/spaces/idkbutitworks/NeuralLens Would love feedback on the concept, the model choice, and where you'd take it.
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