Backfill · 2021
#197 of 315Letterboxd Film Logging
Press shot: A Letterboxd user profile page showing a grid of film poster thumbnails with ratings and review counts.
Letterboxd started in 2011 as a film diary built by 2 New Zealand developers. In the decade since it has become the social network that cinephiles actually use, growing to 10 million members who collectively log about 1.5 million films per week. Core interaction is simple: you watch a movie, you rate it on a 5-star scale with half-star increments. You can write a review that ranges from a single sentence to several paragraphs. Profile page displays your films as a grid of poster thumbnails organized chronologically. Over time this grid becomes a portrait of your taste that's more revealing than any bio you could write, because it shows not just what you watched but when and in what order. Social layer works through a following model where you see friends' ratings and reviews in a feed. The platform generates statistics like your most-watched director, your average rating, and your busiest movie month of the year. Reviews have developed their own culture: short, often funny, sometimes just a single emoji or a reference to a scene that only makes sense if you have seen the film. Best reviewers have followings in the tens of thousands. The list feature is where the curation happens. Any user can build a list with a title like "Films Where the Architecture Is the Main Character" or "Every Movie Set in a Grocery Store" and other users can follow, like, or comment on it. Letterboxd doesn't stream any content, which is an important constraint because it means the platform has no incentive to push you toward specific titles. Recommendation algorithm is secondary to the social graph of people whose taste you trust. Design uses a dark theme with green accent colors that reference classic film stock. Poster-centric layout makes the site feel like a video store shelf translated to a screen. Annual Year in Review feature generates personalized statistics that members share widely on social media, turning private viewing habits into public conversation. The platform proves that a focused tool built around a single verb (logging what you watch) can generate a richer social experience than a general-purpose network. Constraint gives every interaction a shared context.