XMax

by XMax

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ALQO

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Zilliqa

by Zilliqa

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XMax

by XMax

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ALQO

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Zilliqa

by Zilliqa

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What problem does this service solve?

XMax will provide developers with the tools to more easily prototype and launch their entertainment-related DApps.Alqo is building a blockchain-based platform that will serve as an interconnected ecosystem for DApps.Zilliqa is building a scalable development platform based on sharding.

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Company Description

XMax is creating a developer ecosystem for entertainment DApps. Their entertainment-focused blockchain ecosystem will enable multiple functional sidechains, and will provide a SDK which will make it easier to develop decentralized applications. XMax will also offer a variety of multimedia libraries. The XMax blockchain will have a VRF (Verifiable Random Function) consensus mechanism that will randomly select network users to participate in the verifying transactions.

Alqo is developing an ecosystem of decentralized products and services that will be powered by the Alqo coin (XLQ). Their blockchain-based ecosystem enables instant and anonymous transactions. The XLQ coin is designed to be a multipurpose coin that will be used by all projects in the "Alqo Planetary System." Alqo is currently building Bitfineon (cryptocurrency exchange) and Payinx (payment solution for merchants). They plan on adding more projects (planets) to their ecosystem later. The Alqo network uses a modified Proof-of-Stake (PoS) consensus mechanism and an improved version of Zerocoin for encryption. The Alqo DAO (Decentralized Autonomous Organization) uses a Carbon Voting system to resolve governance issues.

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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