Event JSON
{
"id": "2393734454e1f307a14471cf7c63d7e908c65a93713584dec64c1b1c840ba942",
"pubkey": "b887bffcf63863763c712604944ba34cf6b4674aba9d9ad586fda383be9f07c8",
"created_at": 1738259172,
"kind": 1,
"tags": [
[
"p",
"b9925d4eb0616a0aeb63b28a60700ecb9d9c7d4f3c5251d1cdfcff4c8f149a7c",
"wss://relay.mostr.pub"
],
[
"p",
"b2a729af72f53eaf7a64944a3b4fcc1a5c4e4476852b80513bf405183c484187",
"wss://relay.mostr.pub"
],
[
"e",
"4ec1864cedb7409701bd61bef0c6234392022fd90197b18ea40d1b1d07e78b05",
"wss://relay.mostr.pub",
"reply"
],
[
"proxy",
"https://chaos.social/users/stf/statuses/113918553151170032",
"activitypub"
]
],
"content": "nostr:nprofile1qy2hwumn8ghj7un9d3shjtnddaehgu3wwp6kyqpqhxf96n4sv94q46mrk29xquqwewwecl2083f9r5wdlnl5erc5nf7qf6eyyt hah, you know we realized this a few years back with parltrack, when we tried to load all the non-schema stuff into postgres and failed after half-year attempt. and then a joke, why not load all of this in ram in python dicts, we tried, and only needed 16GB or so back then. and we never looked back, we instead built our own non-db backend with an ipython console, and are happy and snappy.",
"sig": "612bec0a38f5abb1164507cf6ee2964537d7e6dbd4a89dbdf31f65960a49b8d7654daa27013d79e558964833987bc004089df5741099fe2672aec1d37b411b15"
}