Config Recommendation System Idea

I have an idea for a system based on Nixos that recommends options to add to your nix config files based on what options you have set and a dataset of public configs on Github.
What do people think of this idea?


Seems like a pretty neat idea. If say 90% of users have some option set (one way or another) that I don’t, it would be good to know about that.

On the other side, it could be interesting to train a neural network or some other ML model on public nixos configs, and try to find patterns or predict autocompletes or something along those lines.