- What is Because I liked?
- A recommendation engine for films, TV shows, books and games. You tell it something you loved and — crucially — why you loved it, in your own words. It finds works that share that quality and explains, for every pick, how it connects to your reason.
- How is this different from Netflix rows or "because you watched"?
- Streaming rows match on what other people clicked after watching the same thing. We match on the reason you give: pacing, mood, a feeling, a texture. "Slow, sad sci-fi where the twist is emotional" is a real query here, and every recommendation says in plain words why it fits that description.
- Is it free?
- Yes. Search works without an account. A free account lets you save what you loved, get a personal "For you" feed across everything you have saved, and share your picks with friends.
- What can it recommend?
- Films, TV shows, books and games — around eleven thousand titles, including Hindi cinema, prestige TV, literary classics and indie games. By default it recommends within the same medium as the thing you loved; crossing mediums (a book because you loved a film) is a toggle.
- Do I need to know the title of what I loved?
- No. You can name a title with @ to pick it from the catalog, or just describe the experience in your own words — "that documentary about an octopus" works. The why matters more than the what.
- How do the explanations work?
- Each candidate work carries a written description of its texture — pacing, tone, mood, themes. When you search, your reason is compared against those textures, and the best matches are explained back to you using your own words, marked so you can see exactly which part of your reason each pick answers.
- Where does the catalog data come from?
- Film and TV metadata from TMDB, game data from IGDB, and book data from Open Library. This product uses the TMDB API but is not endorsed or certified by TMDB.
- Who built this?
- A solo developer who was tired of scrolling five rows of "trending now" to find one thing worth a Friday night. Feedback is very welcome — the product is young and shaped by what early users ask for.