I think the direction that makes most sense is "show don't tell".

Show relevant people, so the user can recall an incredible amount of social clues and make an informed decision at that particular time.

Don't tell, this is the most trusted in this bla bla.

Imagine you go to a conference, meet hundreds of people, you have thousands of social clues in your subconscious. When you go home, are you going to sit down, and start giving ratings to everyone you met? That's insane

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I’m probably the wrong person to ask because I actually prefer editorial picks over WoT. I trust the opinion of one professional over “50 friends use this app”

In App Store I go straight for award winning / editor picks. 🤣

But if I had to look at wot stuff then “also use this app” would be a good metric.

My idea is more for avoiding impersonations, rather than giving value assessments.

Hard problems 😅

Sure we'll incorporate multiple curators (so nostr:npub1r0rs5q2gk0e3dk3nlc7gnu378ec6cnlenqp8a3cjhyzu6f8k5sgs4sq9ac can use it).

Idea is to show various trust metrics (I also dislike scores) for the user to make a decision whether to trust/install the app or not. Domain names are fiat crap, sure, but they have value so they're shown. The app itself can completely change how trust is assessed, you might not care at all for an alarm clock app but care a lot for a bitcoin wallet.

But no matter how you slice it, the web of trust will ALWAYS be involved. Curators are simply someone you decided to trust. "Known people in the space" are also because people you trust, trust them and we need to validate that. I can assure you I can spin a full clone of the existent ~25k and ~180k connections in have in trustgraph and have Gigis, Odells, etc.

Re: avoiding impersonations, it's my next plan for trustgraph (i.e. probability of impersonator, given your 2-3 hop graph) - I was discussing that with Niel the other day.