Event JSON
{
"id": "ea69193efec064be6b7b442fafd824b06084224ccc12568bed51db89f1eb0f16",
"pubkey": "c99d6973f0e81b7a1be1fb87314222784b0ba695bba3634aa1e1f208bb11a11e",
"created_at": 1686158240,
"kind": 1,
"tags": [
[
"p",
"32d1cccb799d8a0736b351181e74ca582a9d0c6a9665d1212d50ba94b09c2cab",
"wss://relay.mostr.pub"
],
[
"p",
"e35dfdb972764ad36d5020ec07753f18a84f10ae834f89b0c1ae330e682a9db2",
"wss://relay.mostr.pub"
],
[
"e",
"e312e7585239873d01b6a3f30c0270625ece71f0c820df401808beb709f6b06a",
"wss://relay.mostr.pub",
"reply"
],
[
"mostr",
"https://defcon.social/users/mysk/statuses/110504066435253082"
]
],
"content": "nostr:npub1xtguejmenk9qwd4n2yvpuax2tq4f6rr2jejazgfd2zaffvyu9j4slvxfsf This is about tracking users across platforms. So when a user is on your platform, you identify them by (login + fingerprinting). Now if you're part of a huge data lake that harvests (fingerprinting + behavior) of multiple platforms. By matching the fingerprinting that you harvest with the fingerprinting in the data lake, you can figure the behavior of your users on other platforms.",
"sig": "c81972ba7ed09ddaf61ec9a1db1e4a9c05aa46520777d38a7156cf5931a0c92307ab9392ec5cc7513762b285c1c556efbc3fb4999283c4367b9c40c7b5f2d83c"
}
