Be aware that DMs are not very private yet. You obviously got contacted by many users and replied to 5 of us.
You can query stuff like that for example with https://nostr.info/relayr/
Be aware that DMs are not very private yet. You obviously got contacted by many users and replied to 5 of us.
You can query stuff like that for example with https://nostr.info/relayr/
With the query ["REQ","cn",{"authors":["82341f882b6eabcd2ba7f1ef90aad961cf074af15b9ef44a09f9d2a8fbfbe6a2"],"kinds":[4]}] you get #[0] 's DMs.
The query ["REQ","cn",{"#p":["82341f882b6eabcd2ba7f1ef90aad961cf074af15b9ef44a09f9d2a8fbfbe6a2"],"kinds":[4]}] yields 30 DMs to you.
Could use this to display a snapchat like score, see how popular people are
With my client I'm exploring things like this but not for some vanity number but for spam prevention. It currently explores the follows graph to 10k accounts but DM interactions could also be taken into consideration. If all my follows DM X, X probably is relevant.