Awesome! I think it’s going to be fun to think about what to do with scores in ranges like that. Your goal is to eliminate spam from your relays, which means prohibiting anyone with a score below some cutoff. But what is the cutoff that will best serve your purposes? Do you find out empirically? Pick a cutoff from first principles? Or use some other method? And what other data besides follows and mutes would you like to incorporate into the score? That’s the beauty of this method: it can synthesize data from multiple sources, and you can weight each source in whatever manner best suits your purpose. For example, I haven’t included zaps yet but might do that next.