Show HN: Game recommender around experience, not genre – here's what emerged

Category: other

Tags: recommendation-system, data-visualization, game-discovery

Score: 6.7/10 (Innovation: 7, Technical: 6, Documentation: 4, Utility: 7)

This is a game recommendation system that clusters titles based on 30 first-principles experiential attributes (like combat intensity, session structure, and cognitive style) rather than traditional genre or theme labels. It's interesting because it reveals why certain games are hard to recommend (they're experiential outliers) and shows that many AAA titles are experientially similar despite different settings.

Target audience: backend devs, data engineers

Repository: https://slated.gg/map

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