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. submitted by /u/Dandam_Ra_Doota
Originally posted by u/Dandam_Ra_Doota on r/ArtificialInteligence