Why 'Nearby' Alone Fails: Inside LeeX's Multi-Signal Discovery Engine

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Developers behind LeeX, a local discovery platform, are building a location-aware engine that goes beyond simple distance-based ranking. The system combines multiple signals — including proximity, category relevance, featured status, user activity, and temporal factors — into a composite discovery score. Featured listings are handled as a separate ranking layer to avoid overshadowing organic results. The architecture is intentionally modular, allowing ranking logic to be updated centrally as the platform scales. The long-term goal is contextual discovery that interprets natural queries like 'find interesting places near me tonight' rather than relying on geography alone.

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