GINcoin

by Gin Platform

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Kadena

by Kadena

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FOAM

by FOAM Inc.

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GINcoin

by Gin Platform

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Kadena

by Kadena

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FOAM

by FOAM Inc.

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What problem does this service solve?

Gin's goal is to allow users to set up masternodes more easily.Kadena is a software development company working to encourage business adoption of blockchain. They create custom-built solutions for their clients that use both private and public blockchains.FOAM aims to to bring location data to blockchains and enable consensus driven mapping.

Token Stats

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Company Description

GINcoin is designed to be a masternode-facilitating blockchain and coin. It lowers the technical requirements to set up a masternode on any blockchain. GIN can also be used as a DApp development platform. GINcoin uses a Delayed Proof of Work consensus algorithm to verify transactions.

Kadena is a software development company that builds blockchain-based platforms for a range of businesses. They develop purpose-built blockchain solutions for their clients by using proprietary solutions that are aimed at being both secure and scalable. Kadena offers both private and public blockchain platforms, with smart contracts written in the Pact programming language. They've also developed an innovative proof-of-work architecture called ChainWeb that could have a variety of applications.
Kadena's founders have experience working for the U.S. Securities and Exchange Commission (SEC) and JPMorgan Chase Bank. The company has raised significant funding and is well positioned to be play a big role in developing future blockchain solutions for large financial institutions.

FOAM is developing a blockchain-based location service protocol for embedding physical locations in Ethereum smart contracts. The FOAM network will use radio beacons and will provide incentives for decentralized location services that will be given by network participants. Users will stake tokens to become zone anchors, that will work with radio beacons to return location data to the network. FOAM's Proof of Location protocol will be used to confirm consensus on the location of objects and entities in space and time.

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