captain ☦️ on Nostr: GM Say you're a new kid at school and you've never been a popular person. Do you care ...
GM
Say you're a new kid at school and you've never been a popular person. Do you care about who the most popular kids are? Maybe so you can avoid them!
After a few weeks you still don't have any friends, but you have noticed a few people that seem cool, so you "follow" them. Based on this set of follows, you can compute a "friend score" for anyone you don't know at all. It's simply the percentage of people you follow who are friends with the person in question. (There's actually a twist to it, but I'll get into that later.)
To see this idea in a proof of concept nostr app, check out
https://friendstr.vercel.app with a NIP-07 equipped browser, or append /(your npub) to the URL.
Published at
2024-02-24 13:53:33Event JSON
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"pubkey": "c060b31fe2bbb0be4d393bc7c40a80848a25b8f0e0f382cb5b49c37bf7476cb4",
"created_at": 1708782813,
"kind": 1,
"tags": [
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"content": "GM\n\nSay you're a new kid at school and you've never been a popular person. Do you care about who the most popular kids are? Maybe so you can avoid them!\n\nAfter a few weeks you still don't have any friends, but you have noticed a few people that seem cool, so you \"follow\" them. Based on this set of follows, you can compute a \"friend score\" for anyone you don't know at all. It's simply the percentage of people you follow who are friends with the person in question. (There's actually a twist to it, but I'll get into that later.)\n\nTo see this idea in a proof of concept nostr app, check out https://friendstr.vercel.app with a NIP-07 equipped browser, or append /(your npub) to the URL.",
"sig": "d60911b0afc896583147649dbc47edd6d5b2513e1f648d8040b03d26867566a74a6204a7df65e1f4639545d60b7fed60a08b7e7a663644e5fe73d0857f2931a3"
}