Every movie lives in a vector space. Similar films cluster together. Kernel lets you see the map.
Streaming services optimize for engagement. We map films by what they are: story, craft, era, style. Not what makes you click.
Each one positioned by 13 weighted features, from sentence embeddings of plot descriptions to director filmography overlap.
Switch between By Story, By Filmmaker, By Era, or the default blend. Same movies, completely different maps.
We analyze every film across 13 dimensions: plot semantics, genre DNA, director/cast fingerprint, era, language, audience maturity, and more.
A multi-modal model compresses these signals into a similarity score between every pair of films in the database.
The high-dimensional space is projected into a 2D map you can explore. Similar films cluster together. The layout emerges from the data itself.
Free. No tracking. Just movies and the math between them.
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