RSK

by IOV Labs

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Fantom

by Fantom

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Zilliqa

by Zilliqa

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RSK

by IOV Labs

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Fantom

by Fantom

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Zilliqa

by Zilliqa

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What problem does this service solve?

RSK aims to improve the functionality and scale of the Bitcoin network.Fantom wants to create a better performing smart contract platform that will based on a directed acyclic graph.Zilliqa is building a scalable development platform based on sharding.

Token Stats

Company Description

RSK is an open source smart contract platform that is secured by the Bitcoin network. RSK is designed to add value and increase the functionality of the Bitcoin ecosystem by providing smart contracts that are compatible with the network's code and can be written in Solidity. RSK smart contracts are powered by the SmartBitcoin (RBTC) which is linked to Bitcoin. (1 RBTC=1 BTC)
RSK developed the RIF Token which is intended to enable users to access a range of DApps within their ecosystem. In September 2019, RSK purchased the Spanish social media platform Taringa with the goal of using the RIF token as an incentive to encourage users to share content.

Fantom is developing a smart contract platform based on a directed acyclic graph (DAG). They hope to address the scalability issues of current decentralized platforms. Instead of a blockchain, Fantom's Lachesis Protocol uses a directed acyclic graph to confirm transactions asynchronously. This transaction history is immutable and cannot be modified. The platform's Opera Chain will consist of three layers: an application Layer, Opera Ware Layer, and Opera Core Layer. Fanotm issued an Ethereum-based token in 2018.

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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