Applying the conventional wisdom that event queues are decouplers, this would make relays the decouplers. But decoupling is pointless if you don't have actors, which is what DVMs are. It's a beautiful architecture nostr:nprofile1qqs04xzt6ldm9qhs0ctw0t58kf4z57umjzmjg6jywu0seadwtqqc75sprpmhxue69uhhyetvv9ujucm4wfex2mn59en8j6f0qyfhwumn8ghj7mmxve3ksctfdch8qatz9uq3uamnwvaz7tmwdaehgu3dwp6kytnhv4kxcmmjv3jhytnwv46z79z4kue discovered.
"Conventional" π
Thanks for reframing that though. Will need more context to fully start grasping this though. As in, how can 1 relay alone be an IP "decoupler"?
And agree, Pablo and Gigi have no idea what they unleashed.
Beauty Maxi πΉ
Other Stuff Maxi πΉ
Chat Maxi πΉ
DVM Maxi πΉ
Nutzap Maxi πΉ
If that sounds like you, don't hesitate to contact me for #nostrdesign work.
nostr:note1gvrt0qlvku965ylltye2zs9pz32vvrvfv62kx233742zqp0yh97s3d0nu3
DVM's = Decouplers
Sign up flow + Main actions for Nsec.app #nostrdesign
https://cdn.satellite.earth/e4c8892581da7d57bcccbe060446692e9a299961a7be8e864bdec4b82a2e9c53.mov
nostr:npub1xdtducdnjerex88gkg2qk2atsdlqsyxqaag4h05jmcpyspqt30wscmntxy nostr:npub1zfss807aer0j26mwp2la0ume0jqde3823rmu97ra6sgyyg956e0s6xw445 what do you think? I personally really enjoy the flow with the slide-up drawers like this + the invitation for app discovery. Next:
- Section for basic and advanced actions in Settings
- Maybe some screens to edit profile (pic, name, etc)
- A logo
Figma: https://w3.do/aZ3OUJ_v
(Re)post the change you want to see in the world π
You can't do B if viruses can't be isolated, are probably just broken down cell debris and if Virology is a made up science.
Group chats (private, payed or public) are the way!
Extermely low barrier to entry and makes almost any nostr app better.
Stemstr π add chats for collabs (instead of comments)
Flockstr π add chats around events or organising entities
Highlighter π add chats for reading groups, around books, etc...
Nostrocket π add chats for the Slack-like communication layer around problems
Games, streaming, marketplaces, ... they all benefit. #chatmaxi
Oh wow, ok awesome! Didn't get that and switching "Network" & "Location" made me nervousπ.
Thanks
I didn't use that much. But that's maybe something a Launcher can fix.
I didn't really find an open source one to my taste, but some have this feature of I recall correctly.
It's been over a week and I'm still rocking my Pixel 7a with #GrapheneOS. I was about to put the sim back into my iPhone Monday, but I found the strength to stick it out after reciting a few affirmations from one of Nostr's expert Graphene securitooors, nostr:npub1x458tl7h9xcxa66vr4a8pg0h2qz96pnhwnfpcra0le9090uk5t5qw7armt π
Honestly loving it. Don't think I'll go back.
Same, I'm surprised by how much I love it. Still don't like the looks of it. But the optionality makes up for that, and might even fix it too. π
Ah wow, thanks! I had no idea what those meant in Iris/Snort;
Starting to play with decentralized trust ranking in Spring v0.12.
You can estimate, adjust and publish trust scores for other users - these are estimated from your recent interactions.
https://void.cat/d/T5HriPK2C8QSd7cGsoJVL6.webp
nostr:npub1wmr34t36fy03m8hvgl96zl3znndyzyaqhwmwdtshwmtkg03fetaqhjg240 has been advocating the TrustNet as a web of trust implementation, useful for spam filtering etc.
The algorithm has two steps - first, each user publishes 'trust assignments' - that's trust scores your can now publish with Spring. These are published as 10629 replaceable events with a list of 'p' tags and a score, typical size will probably be ~100 pubkeys. We provide an estimate based on past interactions, but it can't be precise - you may and should adjust it to match your actual relationships.
The second step is that apps can download trust assignments of users close to your network (contacts, people you like/zap a lot etc) and run a calculation akin to PageRank, but it's not global - it's local to your network. The result will be several thousand pubkeys with non-zero trust ranks - a much wider network of users who could be trusted.
This way the trust ranking is a) based on everyone's actual relationships, because you can adjust the trust scores you're publishing, and b) efficient and can be used by any app - it just needs to download several hundred trust score lists and run the trustnet algo periodically and store results in local cache.
Spring only does step one at the moment. When enough people publish their trust assignments we will add the second step and let you calculate your own trust ranks. Spring will show the trust ranks under profiles, and will use it for spam filtering later. Other apps will probably find other uses for it.
More on TrustNet here: https://cblgh.org/trustnet/
If you can estimate these ratings based on public behaviour, why not publish them anyway and let users adapt them if they like?
WoT let's gooooo!
Would be great to add a counter of overlapping contacts for each profile (like in Coracle).
You've got the style man π₯
Thanks!
Makes sense, after listening to this album on repeat today π