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Thorwegian πŸ‡³πŸ‡΄
c708943ea349519dcf56b2a5c138fd9ed064ad65ddecae6394eabd87a62f1770
1983 vintage. Lives in Oslo, Norway. Interested in tech, cooking, history, music, art and travel.

my approach to the unmutable hellthread: not even react to it to avoid encouraging it anymore

not that it necessarily needs to be proved as such. if you pointed a webcam at a lava lamp and generated entropy from that and advertised it as a lava lamp powered poker game, i'm sure a lot of people would find that very entertaining

"provably fair" is always a tricky one. you have decentralised sources of high-quality random numbers, but they are *published* sources, so by the time the system knows how to deal the cards, everyone else has that information too...

i use Damus as well, but i must admit that a little web tool (such as the one i recently made at https://nrcheck.tigerville.no) would probably help more people. i'd just make it so you could paste your npub there and it would scan everything and that would work no matter what client you have.

unless you're the same guy from before, an idea like this was proposed to me earlier today, except in reverse (they wanted the most commonly used relays of people who follow them)

i use Damus as well, but i must admit that a little web tool (such as the one i recently made at https://nrcheck.tigerville.no) would probably help more people. i'd just make it so you could paste your npub there and it would scan everything and that would work no matter what client you have.

i'm kinda open to ideas here as to what to code for Nostr next tbh, but it helps if at least a few people propose the same idea

who'd be interested in a web tool to check the top relays that someone's connections on Nostr use?

i haven't decided what counts as a "connection" yet, but the tool might just offer several options for that, such as "people they follow", "people who follow them", "N degrees of separation", etc.

not sure if it was copied or not seeing as mine is so new - might've just been that it was less well known among people who have seen my posts?

NIP-01 isn't entirely clear about how filters work. i see that you can filter on "p" tags, which are what are used for follows, and you can also filter on "kind" for events, so if you filter for events of kind 0 (profile metadata) that contain a particular p tag (npub), maybe you get back all the profiles that follow npub on that relay?