// Overview
Filmlovr is now launched at filmlovr.com. The product helps film lovers cut through endless scrolling with graph-backed discovery, watchlist tools, and streaming availability in one place.
The platform models films, genres, providers, user taste signals, watchlist actions, and review activity as connected data instead of flat catalogue rows. That graph layer makes discovery paths more expressive: users can move through related films, shared taste patterns, availability, and personal intent without losing context.
Film pages combine metadata enrichment, streaming-provider resolution, and fast personal actions so the product answers the practical question every viewer has: what should I watch next, and where can I watch it?
From quick discovery sessions to a growing personal watchlist, Filmlovr gives movie fans a lightweight home for the films they love and the films they still need to see.
// Results
// Challenges Solved
Modeling films, genres, providers, watchlists, reviews, and taste signals as connected graph data
Combining film metadata and streaming availability into a clear browsing experience
Keeping watchlist and personal activity interactions fast, lightweight, and useful
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