MOAC

by MOAC

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Nervos Network

by Nervos

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Seele

by Seele Foundation

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MOAC

by MOAC

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Nervos Network

by Nervos

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Seele

by Seele Foundation

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What problem does this service solve?

MOAC is building a blockchain development platform that aims to improve DApp performance with a multi-layer architecture.The Nervos Network's goal is to be multi-asset, store of value platform.Seele wants to create a blockchain ecosystem comprised of subnets that operate independently, but will have cross-chain capabilities.

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Company Description

MOAC is developing a multi-layer blockchain platform that aims to improve transaction speeds and scalability. MOAC's architecture is divided into a main chain and microchains, and uses sharding to improve network performance. This enables an asynchronous smart contract platform that increases the number of contracts that can be processed, as well as transaction speed.
MOAC's development platform allows DApp creators to choose from a variety of consensus algorithms. It also enables cross-chain exchanges of value between different blockchains.

The Nervos Network is an open-source public blockchain ecosystem that is designed to secure multiple assets. Unlike other smart contract platforms that require users to pay transaction fees to help secure the underlying networks, the Nervos Network hopes to create an incentive system that will enable multiple assets to be secured regardless of their price volatility. It does this by capturing the total network value through its native coin the Nervos CKByte, which entitles holders to storage rights on the Nervos blockchain. The network uses a PoW consensus mechanism.

Seele is developing a blockchain ecosystem that will consist of subnets optimized for different use cases. Seele's Forest Network will have subnets that will operate independently and can interact with each other through cross-chain and cross-domain protocols. Seele has a neural consensus algorithm that was inspired by the inner workings of the human brain. It asynchronously processes and sorts data in a large-scale decentralized environment, using ε-differential agreements to allow all nodes within a network to reach consensus. Compared to existing consensus algorithms, it ensures greater fault-tolerance and is significantly more efficient. Its performance also scales linearly as network size increases, allowing it to be widely adaptable to many different use cases.

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