Boundless Launches Mainnet, Introducing Proof of Verifiable Work

Boundless Launches Mainnet, Introducing Proof of Verifiable Work

Boundless has launched its mainnet on the Proof of Verifiable Work model, reshaping incentives in blockchain by emphasizing proof generation over traditional mining.

This shift highlights a move towards energy-efficient blockchain operation, attracting significant market interest and early community engagement, evidenced by its oversubscribed $71 million token sale.

Boundless ZKC Mainnet Goes Live with PoVW Model

Boundless (ZKC) has officially launched its mainnet with the introduction of the Proof of Verifiable Work (PoVW) model, marking a significant paradigm shift in how blockchain systems reward participation.

The development is spearheaded by the Boundless team, incubated by RISC Zero. The project reimagines traditional mining by positioning zero-knowledge proofs as the backbone of blockchain scaling.

โ€œThe launch introduces Proof of Verifiable Work and ZK Coin (ZKC), positioning zero-knowledge computation as the engine of scale.โ€ โ€“ Boundless Team, Incubated by RISC Zero

2,500 Provers Engage in Mainnet Launch

The mainnet launch garnered substantial community engagement, with over 2,500 provers actively participating. The shift boosts zero-knowledge computation, foretelling changes in how decentralized networks operate.

Financial implications are profound, with $71 million raised during the Kaito token sale. The token distribution strategy aims to drive ecosystem growth by allocating 49% to development and cross-chain integrations.

Energy-Efficient Boundless Signals New Economic Models

Boundlessโ€™s launch contrasts with traditional energy-intensive mining, offering a more efficient reward system through useful computation. This mirrors the evolution seen in the rise of liquidity mining in DeFi.

Experts such as Kanalcoin highlight the potential for Boundless to redefine economic models in blockchain technology, leveraging zero-knowledge proofs for verifiable computations across multiple networks.

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