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Decentralized social network Damus teased an upcoming feature on its app that would allow users to earn satoshis, the smallest fraction of Bitcoin (BTC), based on subsequent engagement on the platform.

In a tweet, Damus’s team highlighted that there will be a feature that will allow users to earn satoshis in the next version that is “coming soon.” The team did not provide any details after the announcement.

Damus describes itself as a social network controlled by users and not dependent on centralized companies. The app is based on Nostr, or “Notes and Other Stuff Broadcast by Repeaters,” a decentralized network that enables end-to-end private messaging. There are no servers within your network. Instead, the protocol uses decentralized relays to distribute messages.

Several community members expressed their excitement about the new Damus feature, with some even going as far as describing Nostr as “the future of monetization”.

Former Twitter CEO Jack Dorsey also expressed his support for Nostr by providing funding to the project’s developers. On December 16, Dorsey said that donated 14 BTC, which was around $250,000 at the time, to support the development of the decentralized social network.

Cointelegraph has reached out to a Damus developer for comment, but has not yet received a response.

Related: Twitter closes offices, staff quit as users search for decentralized options

On February 1, Damus went live on the Apple App Store and was made available for download for iPhone users. Following this, Jack Dorsey also shared the news via his Twitter account, describing the update as a new “milestone” for open source protocols.

The former CEO of Twitter also pushed for the creation of a decentralized alternative to Twitter on December 14. This followed the publication of an internal investigation led by Elon Musk that highlighted issues related to censorship on Twitter. Dorsey highlighted potential solutions to issues such as resilient corporate or government control, leaving the right to remove content to authors, and implementing algorithmic moderation.