Credits

by Credits

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Harmony

by Harmony

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Avalanche Token

by Ava Labs

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Credits

by Credits

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Harmony

by Harmony

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Avalanche Token

by Ava Labs

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What problem does this service solve?

Credits hopes to create a blockchain platform that will have faster transaction time and will handle larger volumes.Harmony's goal is to create a consensus mechanism that will scale for larger networks.Avalanche's goal is to enable a more secure and interoperable smart contract platform with faster transactions times.

Token Stats

Company Description

Credits is building a blockchain platform focused on speed and scalability. Credits' protocol uses a Delegated Proof-of-Stake (dPoS) consensus mechanism and will be powered by the CS coin. They hope to significantly improve transaction times and reduce fees.

Harmony is developing an open consensus blockchain platform. Harmony's sharding-based consensus mechanism is designed to scale as the number of nodes increases in the network. Harmony aims to tackle issues related to scalability by optimizing across multiple layers in a way that will enable parallel transaction processing with reduced latency. Harmony is currently powered by the ONE token, which is built on the Binance blockchain.

The Avalanche token (AVAX) performs various tasks within Avalanche's Proof of Stake blockchain network. The Avalanche token functions as a rewards and payment system for users. The network is designed to be an open-source platform for launching highly decentralized applications, enterprise deployments, and decentralized financial instruments. The Avalanche ecosystem is meant to be smore scalable and interoperable than other blockchain platforms. Unlike Bitcoin and many other networks, transaction fees are “burnt” in order to increase token scarcity. This process is offset by the release, or “minting,” of new coins.
Avalanche was launched by Ava Labs, whose founder Emin Gün Sirer is a veteran computer scientist that has been very influential in the Blockchain space. Gün Sirer is a computer science professor at Cornell University and has written extensively about scaling blockchain networks.

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