HYCON

by HYCON, Glosfer Co., Ltd.

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Emercoin

by Emercoin

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FOAM

by FOAM Inc.

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HYCON

by HYCON, Glosfer Co., Ltd.

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Emercoin

by Emercoin

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FOAM

by FOAM Inc.

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What problem does this service solve?

HYCON's DAG/SPECTRE consensus is designed to improve blockchain performance by enabling more than one block to be added to the main chain.Decentralized Software Development Kits make it easier to build blockchain-based applications.FOAM aims to to bring location data to blockchains and enable consensus driven mapping.

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Company Description

HYCON is a blockchain platform powered by the Hyperconnected Coin. The decentralized platform has a Directed Acyclic Graph (DAG) architecture, and is focused on improving scalability and throughput. HYCON's SPECTRE consensus algorithm is designed to enable horizontal scalability, where several blocks can be added at the same time.

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Emercoin is a blockchain-based development platform. It has developed a range of easy-to-use dSDKs (Decentralized Software Development Kits) that can be used to more easily build DApps. This set of software development tools allow the creation of blockchain-based software and services.
Emercoin's dSDKs have been implemented in several innovative DApps and provide developers with solutions for a variety of functionalities. Some of the dSDK's that Emercoin offers are specifically geared for decentralized DNS, SSH, SSL, and DPO solutions.
Emercoin has a hybrid consensus mechanism that combines elements of Proof-of-Stake (PoS) with a Proof-of-Work (PoW) algorithm that is merge-mined with Bitcoin. The network is powered by the EMC coin.

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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