I built NeuroTarget, a neuroscience-informed design exploration tool.
It is a Python CLI and Claude Code skill that helps analyze or recommend UI, audio, copy, CSS, and media stimuli based on likely brain-region engagement.
The project uses:
- TRIBE v2, a multimodal brain encoder.
- Curated neuroscience literature.
- Brain-region mappings for design-related effects.
- Tools for recommending, analyzing, comparing, warning, rewriting CSS, and running visual "brainscan" style analysis.
The goal is not to claim guaranteed brain effects. It is an evidence-informed design assistant that produces hypotheses designers can test with real user research.
Repo: https://github.com/Mondlak1/neurotarget
Would love feedback from UX designers, researchers, or anyone interested in the intersection of neuroscience and digital design.
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