New stuff on noogle.lol today:
- Added additional Search DVM using the nostr.wine API. Now it's aggregating results from both nostr.band and nostr.wine
- Share created images directly to #Nostr with a note (when signed in). This makes noogle kindof a fully functional nostr client (without a timeline feed).
Oh I forgot to mention,
You can add https://noogle.lol/search?q=%s to the search engines in your browser to search the Nostr from your Browser address bar.
You make noogle.lol? Wonder if U could help me with custom querys for nostr?
nostr:note1n7s34zkac3cuum4snjwdg7nr5pt7jtw5jq26mc06vze7e0cqy4yq55uc5y
Are you tagging this somewhere? I don't know about nostr advocates
I do make words up sometimes.
Iām building a client for āsocial onboardingā, friends sharing nostr with friends.
These are ānostr advocatesā. They deserve recognition and support. Part of this project will be tools (client and wiki) to support the advocates. Another part is an incentive ZAP awards program for top nostr advocates. Hereās where the query comes in.
āNostr advocateā ā
+ first follow of a new account
+ currently follows the new account
+ sender or recipient of first (kind 1 or kind 4) messages with new account.
+ āregularā (once a week?) contact (kind 1 or 4 events) with new account each month.
Not sure if you can reliably track the first follower, you basically just update a kind 3 event which might be in correct order or not.
The other things should be queryable with currentl frameworks and some logic. Rust-nostr (with bindings to other langs) might help
Thatās what nostr:npub1xdtducdnjerex88gkg2qk2atsdlqsyxqaag4h05jmcpyspqt30wscmntxy says too. I have ideasā¦ and see a number of hurdles alsoā¦ but my optimism is strong that there WILL be a usable metric for measuring the success of āsocial onboardingā and the ānostr advocatesā who practice it.
nostr:note1h6zulynypwy32zdsaw0x5nfhmw2h2v7drdfkky4mqr0apuc8sghs3yzurw
I just need an earnest brainstorm session with someone who knows the space better than me to get a game plan for moving forward.
āFirst followā can be assumed accurately for new accounts. Part of the query engine will involve collecting āfirst postsā (kind 1 or 4) to find newly created accounts each day. Collecting first posts for āexistingā accounts will be more challenging, but weāll only be going six months back. So the ātracking of user onboardingā will get better over time.
