Event JSON
{
"id": "ff5c66541371ebe141a074053702267df4486063fad877e1ec01376c878af5f7",
"pubkey": "e5272de914bd301755c439b88e6959a43c9d2664831f093c51e9c799a16a102f",
"created_at": 1746124398,
"kind": 1,
"tags": [
[
"e",
"d8fa5b62c54f48b924785cda172411dbe6e4c788a10c0e23f47c18ef8cbfc5e6",
"",
"root"
],
[
"e",
"1c2106a6048739cdb8a127eaa03d2e4c8000b987376375d6dbbcbbfb83ff2e05",
"",
"reply"
],
[
"p",
"7ed7d5c3abf06fa1c00f71f879856769f46ac92354c129b3ed5562506927e200"
],
[
"p",
"a1c1984994512025327f52c7b6d3a1434a37fbb7a318380cab4832f8daacbb52"
],
[
"r",
"https://straycat.brainstorm.social/follow-recs.html"
]
],
"content": "Right now I calculate scores and whitelists based on follows, mutes and reports, and use that to filter spam out of streaming content (kinds 1, 7, etc). So I’m starting to think about how content could be used to create useful metrics. So far, the only metric I use is a “recency” metric. If an npub hasn’t posted within some time frame, it won’t be on the follows recommendations page: \n\nhttps://straycat.brainstorm.social/follow-recs.html\n\nHave you written up any of the engagement metrics you had in mind? Maybe I could try implementing some of them.",
"sig": "e2c0f47ab9eae63e9d5e422ea7341830eb8ba116da3d95c438ab7452e0c406a561492b57cdd965d9ae1ff808fead2a925eceb252b97ece0fab09b06a8947ae28"
}