We published information for developers on what NIPs we use to build Sunami and how we utilise RSS integration.
Visit https://sunami.app/developers to read more.
Hopefully it inspires more builders to make something great!
Regarding AI tagging for tracks and release.
We believe that the best use case we just covered is tagging RSS music. It appears that platforms like Wavlake don't seem to tag AI music appropietly or ask their users to disclose such content. As a result we have flood of AI content in RSS music and ordinary listeners just our apps quit more often.
As Nostr music community we can play major role at labeling AI content resposnsibly and helping artists to cut through the noise.
Introducing AI Content Labels on Sunami
We've added community-driven AI content labeling using NIP-32.
Now you can see which tracks are AI-generated and help label content yourself.
Here's the sources of labels you can select:
* Sunami curated - trusted labels from our team
* Follows (default) - labels from people you follow
* Community - labels from the broader network
Labels are decentralized, stored on Nostr relays, and you control which source you trust.
Try it out:
If we were to build mobile app. What platform would you use it on? iOS or Android? Also would you prefer Sunami Music for listener experience or Sunami Studio to publish your music? We can prioritise development depending on what people would actually use.
Music Video uploads are now supported for Nostr Music!
It also works for RSS feeds generated via Sunami!
@Strange Love@Matt Finlay@Joe Martin πΆπ β‘
Give it a go and let us know any feedback!
