QuarkChain

by QuarkChain

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Etherparty

by Etherparty

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Zilliqa

by Zilliqa

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QuarkChain

by QuarkChain

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Etherparty

by Etherparty

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Zilliqa

by Zilliqa

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What problem does this service solve?

QuarkChain hopes to create a more scalable blockchain platform that will have faster transaction times.Etherparty wants to simplify the development of decentralized applications. It is developing a platform of blockchain software products that will help users develop many of the common functionalities with less technical knowledge.Zilliqa is building a scalable development platform based on sharding.

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Company Description

QuarkChain is building a blockchain with a focus on speed and scalability. They hope to significantly improve transaction times and reduce fees with an architecture that will rely on a two-layered blockchain and elastic sharding. QuarkChain uses a hybrid Proof-of-Work (PoW) consensus mechanism that is ASIC-resistant. Transactions are first confirmed on one blockchain layer, and then on the second. The network will be powered by the QKC coin.

Etherparty is a cloud platform offering blockchain related software. They want to make smart contracts as easy and accessible as possible. by helping to automate many functions that decentralized applications require. Etherparty focuses on user-friendly design to simplify the creation of smart contract related platforms. They are currently developing several software products aimed at users with different needs, including: token generation, crowdfunding, supply chain management, and philanthropy. Etherparty is powered by FUEL tokens.

Zilliqa is an innovative blockchain platform that is designed to be more scalable as the network grows. Zilliqa's platform is based on the concept of sharding; which involves breaking a large network of computers into smaller decentralized networks.
Zilliqa's goal is to increase transaction rates as its network expands. The platform is tailored towards enabling secure data-driven decentralized apps that are designed to meet the scaling requirements of machine learning and financial algorithms.

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