FurAffinity User Recommender
The FurAffinity User Recommender is a user script that helps you discover artists and users similar to ones you already enjoy on FurAffinity.
Features
- Adds a "Similar Users" section to FurAffinity user profile pages
- Uses tried-and-true algorithms to find similar users, based off of follow lists
- Integrates seamlessly with FurAffinity's interface
- If you are logged in to FurAffinity, will show you users that you don't already follow
Installation
1. First, install a userscript manager like Tampermonkey or Violentmonkey .
2. Then, click here to install the script.
Screenshot of the Similar Users section added to a user profile page:

How it Works
Just like how Twitter's "Who to Follow" or Amazon's "Customers Also Bought" features work, this recommender uses patterns in user behavior to make suggestions. For FurAffinity, this is based on who follows who.
- A sample of user follows is collected from FurAffinity
- A collaborative filtering model is trained on that dataset, to find other users with similar follow patterns
- Users with more similar follow patterns are ranked higher in the recommendations
- This approach works because people tend to follow users with similar content and styles
Think of it like this: if many people who follow your favorite artist also follow another artist, there's a good chance you'll enjoy that other artist's work too!
Just To Note
The recommendations are based on a snapshot of FurAffinity follow lists that is periodically updated. The current model was last updated on January 10, 2025. This means that very recent changes to who follows who might not be reflected in the recommendations yet.
For support or suggestions, contact @DeltaNoises on Telegram.