BitNew Chain

by BTN Foundation

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Smartlands

by Smartlands

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Zilliqa

by Zilliqa

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BitNew Chain

by BTN Foundation

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Smartlands

by Smartlands

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Zilliqa

by Zilliqa

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What problem does this service solve?

BitNew Chain aims to make it easier to develop large scale DApps that can be used with a variety of hardware. They also claim that it will enable cross-chain communication and token exchanges.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.

Token Stats

Company Description

BitNew Chain is building a development platform for commercial DApps. BitNew Chain aims to make it easier to develop large scale DApps that can be used with hardware. It will be based on a two-tier decentralized blockchain network with standard physical masternodes, resource segregation, a decentralized computing subsystem(BTN-DC), and decentralized storage subsystem(BTN-FS). Consensus will be achieved through a hybrid mining process that will combine Proof-of-Stake (PoS) with Proof of Masternode. The network is powered by the BTN coin.

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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