FAQ

🗄️ Database

Title collisions are surprisingly common. Plenty of movies share the same name across different decades, and director's cuts or regional re-releases sometimes live on separate TMDB entries. When that happens, we have to map things manually based on automatic reports, so always double-check what comes through.

The TMDB data might be incomplete. Our database is powered by The Movie Database API, a community-driven project. Anyone can help fill in the gaps by contributing directly to themoviedb.org - the data flows here automatically. Inconsistencies should be rare, so please let us know if you spot any! 👀

Likely yes. Letterboxd CSV exports work through our Import from Text feature, and a dedicated Letterboxd parser is on the way. If another service lets you export your account data to a file or structured JSON, the text importer can usually handle it. If there's a specific site you think ReelsGraph should support natively, drop a comment and let us know.

🤖 Discovery Queue

Not exactly the kind you're familiar with. We use a standard matrix factorization model from Microsoft's ML.NET library that looks at how you reviewed films compared to everyone else, then generates numeric vectors (your "taste profile") and uses smart algebra (the "algorithm") to calculate compatibility scores. All these cool things existed decades before ChatGPT and image generators.

You could, but your reviews, specifically how much they differ from our predictions, are what shape your taste profile. Removing movies doesn't tell us what you liked or disliked, which is the foundation of the entire machine learning algorithm.

Good news, doesn't matter! Machine learning vectors adapt to any scale you gravitate toward, so you're free to assign ratings however you like - as long as you're consistent over time. Everyone starts from their favorites, but for better results you should make sure that you're also including what truly disappointed you.

Skip for Now is more flexible. Both options send the movie to your /skipped page, where you can revisit titles sorted by ML score. Since Skip for Now entries can be reset separately, you can refresh your discovery queue without reintroducing films you've more permanently dismissed with Not Interested. It's a handy way to keep tabs on titles you're curious about, without committing them to your watchlist.

Nope! It's just a convenient social feature that lets you view their reviews and send or receive direct recommendations. So don't worry, adding that one friend who only watches mumblecore won't mess up your results.

❌ Missing Features

It's mostly about keeping things simple. The interface is already packed with features, so adding dropdowns and buttons to filter your watchlist by streaming service would make things even more cluttered for most users. If you need more control, try using custom sections which support batch editing.

Out of scope, on purpose. ReelsGraph is built around backlog management and discovery, not chronological journaling. If keeping a dated log of every viewing is important to you, Letterboxd is genuinely great at that and you should keep using it. We'll happily import your CSV.

No reliable source. Streaming providers don't expose a clean machine-readable list of dub and subtitle tracks per title, and the data that is available varies by region and over time. Adding the filter without accurate underlying data would just produce false negatives. If a clean source ever shows up, we'll revisit.

It's a delicate balance. Each region needs its own provider checks, and the movie database is massive. Sending thousands of extra requests per hour would significantly slow down updates for the larger regions that most users currently sit in. The TMDB pages we link to will still show availability for any country you're interested in.

🤔 Miscellaneous

Through external means. To keep things safe and spam-free, we don't currently support in-site messaging. That said, if someone has filled out Discord or Reddit info on their profile, you're welcome to reach out there.

No worries, your IP isn't stored. To cut down on spam - especially for users with public profiles - we track a scrambled fingerprint called a hash. There's absolutely no way to turn that back into your real info. It just means you can't recommend the same movie multiple times, even with tricks like incognito or alt accounts.

Just one person - hey, that's me👋. ReelsGraph is the movie-shaped sibling of GamesGraph, a project I started in 2019 as a way to learn web development with ASP.NET Core. The same backlog, taste-profile, and discovery ideas turned out to fit films beautifully, and a lot of friends and power users keep helping me sharpen the rough edges.