https://w3.do/ FOR DEVELOPERS You're likely familiar lengthy URLs that users share. Fret not! There's a solution with just one RESTful API call. To shorten URLs, simply make a request to the following endpoint: https://w3.do/get?url=<naddr1...here> For instance, consider this URL:

Yakihonne

Introducing YakiHonne Flash News and uncensored Notes

We invite you to download the latest version, join our Beta testing, and share your valuable feedback.

You can shorten it by sending a GET request to: https://w3.do/get?url=naddr1qq2kw52htue8wez8wd9nj36pwucyx33hwsmrgq3qyzvxlwp7wawed5vgefwfmugvumtp8c8t0etk3g8sky4n0ndvyxesxpqqqp65w6998qf This will provide you with a new, shortened URL: https://w3.do/sFdxS4TC Happy coding! https://w3.do/

W3.DO - NOSTR BASED URL SHORTENER (https://w3.do/) UPDATE NOSTR NIP-19 redirects njump.me Using a bech32 formatted string according to NIP-19 as input will generate a shortened URL that redirects to njump.me. This includes: `nevent1`, `note1`, `npub1`, `nprofile1`, `naddr1`. For instance, when the input `npub1al....6dsn` is provided, it generates a shortened URL, https://w3.do/ig2FmnQY which redirects to https://njump.me/npub1alpha9l6f7kk08jxfdaxrpqqnd7vwcz6e6cvtattgexjhxr2vrcqk86dsn https://w3.do/

W3.DO - NOSTR BASED URL SHORTENER (https://w3.do/) UPDATE NOSTR NIP-19 redirects njump.me Using a bech32 formatted string according to NIP-19 as input will generate a shortened URL that redirects to njump.me. This includes: `nevent1`, `note1`, `npub1`, `nprofile1`, `naddr1`. For instance, when the input `npub1alpha9l6f7kk08jxfdaxrpqqnd7vwcz6e6cvtattgexjhxr2vrcqk86dsn` is provided, it generates a shortened URL, https://w3.do/ig2FmnQY, which redirects to https://njump.me/npub1alpha9l6f7kk08jxfdaxrpqqnd7vwcz6e6cvtattgexjhxr2vrcqk86dsn. https://w3.do/

Introduces a social and collaborative layer to the internet, re-defining online discussions. You can effortlessly share ideas, pose questions, and engage with others, all directly within the context of the web content you're exploring.

GitHub

GitHub - jinglescode/web-content-conversation: Add collaborative layer to your Internet browsing experience

Add collaborative layer to your Internet browsing experience - jinglescode/web-content-conversation

On-device generative machine learning models are coming to Macs. Apple managed to squeeze a large language model into a MacBook Pro M2, it runs 25 times faster and models 2x larger, by storing the models in flash memory, made possible on M chips. https://arxiv.org/pdf/2312.11514.pdf

Introduces a social and collaborative layer to the internet. - Have question for plebs about a product you found on Amazon? - Want to share and comment on a YouTube video? - Want to reach out to the developers behind a product you love?

GitHub

GitHub - jinglescode/web-content-conversation: Add collaborative layer to your Internet browsing experience

Add collaborative layer to your Internet browsing experience - jinglescode/web-content-conversation