pTokens vs HyperCash vs Seele
What problem does this service solve?
pTokens aims to increase liquidity for cryptocurrencies, as well as cross-chain interoperability. | Hshare is a dual-chain cryptocurrency that wants to facilitate exchanges of value across blockchains and other decentralized networks. | Seele wants to create a blockchain ecosystem comprised of subnets that operate independently, but will have cross-chain capabilities. |
Token Stats
Company Description
pTokens are digital assets that are transparently pegged to another underlying asset. pTokens serve as a Cross-Chain token wrapper that allows users to more easily transfer value between different blockchains. Users can deposit a certain amount of the underlying asset (such as BTC or EOS) and request the equivalent pTokens that are pegged to them 1:1, such as pBTC or pEOS. Token holders can then take advantage of the Ethereum network by more easily exchanging them into ERC-20 tokens. | Hshare is the token that was released in an ICO for the development of the Hcash (Hyper Cash) project. Hcash will be a dual-chain cryptocurrency that will have a side chain for both blockchain-based and other decentralized networks. Hcash is a community driven platform that is designed to exchange value and data across these platforms. Hcash's dual sidechain consists of a blockchain and a Directed Acyclic Graph (DAG) network. It's designed to facilitate exchanges of value between blockchain-based and non-blockchain decentralized systems with a high degree of privacy and encryption. Hcash's dual networks will offer addresses that are inter-operable with other common cryptocurrencies, allowing users to send and receive various currencies in their Hcash wallet. | 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. |