Yep. The gossip model was effectively my initial approach too, for an unreleased relay recommendation engine, before I realised it was more complex. My approach was data driven, so basically which relays saw a pubkey’s 200 most recent events, rather than based on the kind 10002 pubkey relay manifest approach.

Basically similar to what you mentioned above, with a N coverage threshold and M max desired relays.

https://en.wikipedia.org/wiki/Set_cover_problem

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