Decentralized social network Damus has teased an upcoming feature in its app that allows users to earn satoshis – the smallest part of Bitcoin
BTC
pointers down
$22,687
– Based on the post’s share on the platform.
In a tweet, the Damus team highlighted that there will be a feature allowing users to earn satoshis in the next version “soon.” The team did not provide any details after the announcement.
Damos describes itself as a user-controlled social network that does not depend on centralized companies. The app is built on Nostr, or “notes and other objects transmitted by relays,” a decentralized network that enables end-to-end private messaging. There are no servers within its network. Instead, the protocol uses decentralized relays to distribute messages.
advertisement
Stay safe in Web3. Learn more about Web3 Antivirus →
Many community members have expressed excitement about Damus’ new feature, some even going so far as to call Nostr “the future of monetization.”
Former Twitter CEO Jack Dorsey has also expressed his support for Nostr by providing funds to the project’s developers. On December 16, Dorsey said he donated 14 bitcoins, about $250,000 at the time, to support the development of the decentralized social network.
Cointelegraph has reached out to Damus developer for comment but has not yet received a response.
Related: Twitter closes offices, employees quit as users eye decentralized options
On February 1, Damus was launched on the Apple App Store and made available for download for iPhone users. Then, Jack Dorsey also shared the news through his Twitter account and called the update a new “milestone” for the open source protocols.
The former Twitter CEO also pushed for the creation of a decentralized alternative to Twitter on December 14, following the release of an internal investigation led by Elon Musk that highlighted problems with Twitter censorship. Dorsey highlighted potential solutions to issues such as flexibility from corporate or government control, leaving the right to remove content to authors and implementing algorithmic moderation.
