On Peer-to-Peer Blogging
On Peer-to-Peer Blogging
Excerpt is a new Handshake blogging platform brought to you by The Shake.
For the best experience accessing Excerpt Editor and Excerpt Blogs, we recommend using the Fingertip resolver.
We envision a return to the personal blogging era of the early web. This time, fitted with self sovereign identity and resolution in the form of Handshake domains.
Excerpt connects writers and readers peer-to-peer. Writers can host blogs on domains they self custody. Readers can access and self verify Excerpt blogs via light client resolver. Additionally, no username-password is required as login authentication is entirely Handshake based too.
A goal of Excerpt is to make Handshake usage simple. Add the domain records we provide you with to set up your blog. Not only is your domain immediately resolvable, it is secured via DANE for trustless HTTPS.
This is just a start. We have more ideas for peer-to-peer blogging tools that we think you’ll enjoy. Until then, we can’t wait to read what you write.
What’s Shaking?
This Week in Handshake
→ Set up a Handshake listening node on Akash with this guide.
→ Uniswap now supports NFTs, meaning Handshake SLDs on Impervious have a new aftermarket.
→ Spaceship, a new domain registrar and suite of domain applications from the team behind Namecheap, is now in beta testing.
→ Drop the hyphen. The Shake’s self hosted DeFi frontends on Handshake have been migrated from .front-end → .frontend
→ .GPT3 is a newly launched domain name extension for GPT3 projects + training models
By The Numbers
Network Metrics
November closed as one of the most active months on record for Handshake with monthly transactions above 1 million and monthly bids reaching an all-time high.
The all new Fleek Network
DWeb Middleware
All Fleek.xyz services — auth, sites, billing, storage, notifications, delivery — will be independent of each other, where one or many of the building blocks can be leveraged, and developers can pick and choose which services they want and discard the rest.
Decentralized AI Training
Together Compute
Foundation models such as GPT-3 are computationally expensive to train, partly due to the difficulty to access GPUs. Making use of resources scattered around the world in a decentralized, open, collaborative paradigm could significantly bring down the cost.
🤝 For more Handshake and DWeb resources, visit theshake.xyz