ALQO

by ALQO

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Smartlands

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Zilliqa

by Zilliqa

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ALQO

by ALQO

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Smartlands

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Zilliqa

by Zilliqa

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What problem does this service solve?

Alqo is building a blockchain-based platform that will serve as an interconnected ecosystem for DApps.Smartlands lets users convert any asset into Stellar-based tokens that can be traded on their exchange.Zilliqa is building a scalable development platform based on sharding.

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Company Description

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.

Smartlands is a Stellar-based tokenization platform designed to let users create tokens for a variety of use cases. The Smartlands platform will allow token issuers to manage many legal, compliance, and due diligence procedures. It will also enable tokens to be backed by collateral and held in escrow by a custodial service. Tokens created on Smartlands will be traded on their decentralized exchange that will be powered by the SLT token.

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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