#ScratchChat

2025-05-26

The dweb REST API for Autonomi now supports #ETags - or in other words faster Web Apps 🥳

More to add, but it already speeds up loading of all the avatars in #ScratchChat

#AutonomiDweb #REST #p2p

2025-05-20

@aral
See also p2p: #ScratchChat, just published needs no server, intermediaries and is end-to-end encrypted.

More here:
fosstodon.org/@happyborg/11454

2025-05-20

My secure peer-to-peer chat app works and no-one is more amazed than me! 🎉

#ScratchChat is live on Autonomi so anyone can chat to anyone. No server, hosting, signup, intermediaries, surveillance or censorship.

This is secure, anonymous chat on a #p2p network in a 64kB HTML file that runs in a standard browser.

Follow my address: a83c68c0d90c592037b769bb5cfaa7f669db39a7c23f02b0b52abf3bd50293e93b790383155de26b22fab9b15d0cdc0b

github: github.com/happybeing/dweb-app

#Decentralized #dapp #WebDev #App

A browser showing the user interface to ScratchChat peer-to-peer chat.
2025-05-14

@root42
Federated isn't the only alternative now Autonomi is sitting into life. I'm literally finishing off a demo called #ScratchChat (click for more) as soon as I finish my cup of tea 😀

2025-05-14

I'm close to sharing my most ambitious decentralised app for #Autonomi yet.

It's a single 40k file of HTML that loads from the secure anonymous p2p network and talks to it over a REST API provided by a local #dweb server that I created.

It's going to be fun: a cross between chat and Mastodon/Twitter/X type #SocialMedia

I delayed release to support avatars, but nearly done now.

Secure, encrypted, #p2p social media. Simple to install and join.

Follow hashtag #ScratchChat

2022-09-14

RT @scratch@twitter.com

Are you new to Scratch yourself? Be sure to check out our blog post “Scratch for Educators: Getting Started with Scratch” for tips and tricks to get you comfortable with creative coding! medium.com/scratchteam-blog/sc #ScratchChat

🐦🔗: twitter.com/scratch/status/157

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst