ReelsGraph Reviews and Details

Questions & Answers

1. What makes ReelsGraph unique?

   The watchlist ranks itself. Instead of a static list you have to scroll, everything you add is sorted by a "watch next" score based on your own ratings, so the top is always what you're most likely to want right now. Most trackers store what you plan to watch; ReelsGraph decides the order for you. It also covers movies and TV together, and the recommendations run on collaborative filtering over real user ratings rather than genre tags.

2. Why should a person choose ReelsGraph over its competitors?

   It's completely free with no account required to use it, no ads, and no paid tier gating the useful parts. It handles movies and TV in one place instead of one or the other. The recommendations get sharper the more you rate, and Party Mode helps a group decide what to watch by comparing everyone's scores. If you already use another tracker, you can import your ratings by CSV and try it without starting from scratch.

3. How would you describe the primary audience of ReelsGraph?

   People who watch a lot of movies and shows and have a growing backlog they can't keep track of. Anyone frustrated by decision paralysis in front of a streaming app, or who wants recommendations based on what they actually rate rather than what's trending. It works for solo viewers building a taste profile and for groups trying to agree on something to watch together.

4. What's the story behind ReelsGraph?

   I've run GamesGraph, a game backlog and discovery site, solo since 2019. The core problem there (a huge pile of games and no idea what to play next) is the same problem for film and TV, so I forked the whole thing and pointed it at movies and shows. Same engine, same recommendation logic, years of real use behind it. It started as something I wanted for myself and figured others might want too.

5. Which are the primary technologies used for building ReelsGraph?

   ASP.NET Core (Razor Pages) with PostgreSQL and Entity Framework Core, running on a single VPS behind NGINX. Background jobs run on Hangfire. The recommendation engine uses matrix factorization / collaborative filtering. Movie and TV metadata comes from TMDB.

Is ReelsGraph good?