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CouchCinema

A film and TV companion built on TMDb data, with watchlists, ratings and a light social layer. Published in the Google Play Store.

  • Home screen with personal recommendations
  • Library of rated films and series
  • Profile with rating and follower counts
  • Search with filters by genre and period
  • Detail view of a film series
  • Overview by streaming service

Home screen with personal recommendations

Why I built it

I am a big film fan, and this was my first Flutter project. For something like that I deliberately pick a subject I care about — you learn a thing best on something that actually interests you, not on an exercise someone assigned you.

What I missed in every film app was the same: recommendations from friends. I wanted to see what my mate would suggest, not what an algorithm had lined up for me. Hence the social layer, and hence its deliberately small size.

What the app does

The home screen assembles recommendations from your own ratings — not from whatever is being promoted. Every title carries a score from 0 to 100, shown as a ring on the poster, so the judgement reads along while you scroll instead of having to be looked up.

Alongside that sits a library of everything you have rated, split into films, series and individual episodes, plus watchlists for what is still outstanding. Search filters by genre, release period and rating status; already-rated titles can be hidden, which shortens the hunt for something new considerably.

An overview by streaming service answers the question that otherwise costs you several apps: what from my list is available where I already subscribe?

The social layer

Deliberately light: you follow other accounts and see their ratings, and that is all. No feed algorithm, no comment section. The profile shows numbers — films rated, series rated, recommendations, following — and nothing else.

How it is built

Flutter and Dart for an interface that behaves the same on Android and iOS, Firebase for accounts and data, TMDb as the source for titles, posters and metadata. The demanding part is not the display but the reconciliation: TMDb returns many fields per title at varying completeness, and a recommendation list is only as good as its worst row.