Streamr Community 1.0 mainnet launches, realizing the 2017 Roadmap’s imaginative and prescient of decentralized knowledge broadcasting

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Zug, Switzerland, March 19, 2024, Chainwire

Streamr introduced the launch of Streamr Community 1.0 mainnet, a milestone marking the completion of its authentic 2017 roadmap. 1.0 introduces the total deployment of the $DATA token incentive layer, remodeling the community into a completely featured, totally decentralized protocol, run and operated by customers.

The end result of greater than six years of analysis and improvement, three incentivized testnets, and overcoming technical hurdles that induced a last-minute launch cancellation, Streamr 1.0 marks the arrival of decentralized knowledge broadcasting.

Important options of Streamr 1.0:

  • Absolutely expanded tokenomics: Activation of the $DATA token incentive layer implies that the Streamr community can function autonomously from groups as a impartial, totally decentralized messaging protocol.
  • Introducing new community roles: Unleash the ability of a peer-to-peer market between sponsors, operators, and delegators.
  • Stream sponsorship: Sponsors create and fund sponsorships, and operators earn earnings from them. These good contracts handle reward distribution between operators who run the nodes and assist relay knowledge inside the nodes.
  • Trackerless community structure: Shifting to a trackerless structure. Leverages a globally distributed hash desk (DHT) to reinforce effectivity and scalability.
  • New advantages for node operators: 1.0 offers node operators the chance to earn extra income by permitting them to simply accept delegations and obtain a portion of the income. 1.0 additionally brings different enhancements for node operators, together with the removing of per-IP node limits, immediate reward claims from energetic sponsorships, and different high quality of life enhancements.
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New use instances are unlocked:

1.0 units the stage for exploring new use instances in areas similar to decentralized bodily infrastructure networks (DePIN), decentralized AI, and decentralized video streaming.

decentralized video streaming: Streamr is exploring decentralized stay video streaming, testing its capacity to ship scalable and secure video feeds to viewers at scale. By leveraging the community's peer-to-peer protocols, Streamr eliminates dependence on centralized distribution factors and allows viewers to contribute on to the printed community whereas consuming content material, optimizing effectivity and scalability.

Depin: Streamr 1.0 enhances DePIN's capacity to maneuver from a centralized knowledge pipeline to a completely decentralized contributor array. The community's serverless, safe, and scalable framework is right for broadcasting knowledge between related gadgets and transferring DePIN to a really decentralized structure.

decentralized AI: The 1.0 milestone has the potential to remodel synthetic intelligence by positioning Streamr as a impartial knowledge layer, offering a safe knowledge stream for AI improvement, belief, and transparency. Streamr permits AI fashions to attach with one another, share insights, connect with real-time tuning knowledge and stay content material supply, and collectively energy intelligence. By integrating with decentralized frameworks, you possibly can take a step towards making your AI operations extra open, verifiable, and fashionable.

These modifications, together with exploring new use instances, spotlight Streamr's dedication to pushing the boundaries of what’s potential within the realm of decentralized know-how.

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About streamers

Streamr is constructing a real-time knowledge protocol for the decentralized net. This features a scalable, low-latency, safe P2P community for knowledge broadcast, distribution, and alternate. As a part of our imaginative and prescient, Streamr constructed The Hub, a dApp that champions open knowledge, permitting DePin, AI, and Web3 builders to decentralize their tech stacks with real-time knowledge flows. The Streamr mission was began by real-time knowledge veterans with expertise in algorithmic buying and selling and monetary markets.

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