Consumer × Streaming
Swipe Watch
A swipe-based discovery experiment for Disney+ and Hulu that turns taste signals into a faster, more active recommendation loop.
Overview
Swipe Watch explores a simple question: what happens when streaming discovery feels active instead of passive? Rather than browsing endless shelves, the product uses a swipe interaction to let users react quickly, train their recommendations, and shape what the system learns.
It is a lightweight concept, but it is aimed at a real product problem: helping people express taste faster than a conventional streaming interface usually allows.
What the product does
- Presents streaming choices through a rapid swipe-based interface.
- Turns user reactions into recommendation signals.
- Adds coins and watchlist building as lightweight feedback loops.
- Tests whether a faster interaction model can make discovery feel less static.
Build notes
Swipe Watch was built over a weekend in vanilla JavaScript. The speed of the prototype matters: it is a deliberately lightweight way to test the interaction idea without the overhead of a larger stack.
Why it matters
Recommendation systems are often evaluated on model quality alone, but the interface that gathers preference signals matters too. Swipe Watch focuses on that front-end layer: the mechanics of how people tell a product what they want to watch next.