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Bitcoin Gold was founded in 2017 to become a user-friendly alternative to Bitcoin. The BTG network aims to combine the security and sturdiness of the Bitcoin blockchain and its characteristics with the opportunity for experimentation and development.

BTG enhances and extends the crypto space with a blockchain closely compatible with Bitcoin but without using resources like Bitcoin hash power or vying for the "real Bitcoin" title. The company aims to present a coin with the implementation capabilities of Bitcoin, however, expanding on the opportunities for DeFi and DApp developers to use the coin.

Bitcoin Gold

Bitcoin File

BitcoinX

The Neutrino index is a decentralized financial (DeFi) platform based on the Waves blockchain. The platform rebranded its index token from USDN to XTN. Neutrino has two native tokens, XTN and NSBT.

XTN is an algorithmic crypto-collateralized indexcoin backed by three Waves Ecosystem tokens: WAVES, WX and VIRES. XTN's main function is to encourage user participation in the Neutrino by rewarding those who provide liquidity to the system.

The platform’s other token, NSBT (Neutrino System Base Token), is used for governance purposes: it allows users to make decisions about the future development of the Neutrino protocol, and it ensures the stability of collateral reserves on Neutrino’s smart contract.

New NSBT tokens are issued whenever a user locks WAVES tokens on a contract, which serves as additional backing and insures the system against a deficit. Holders can stake to earn on WAVES to XTN swap fees.

Neutrino Index

CyberVein's big-data solution is based on the PISR (private, interlink, secure, robust) distributed database, database operations are stored on CyberVein blockchain network which runs on a Proof-of-Contribution (PoC) consensus mechanism. The solution is focusing on enterprise-level "blockchain + big-data" customized services.

CVT is the native utility token that is used for:

Storage payment: The data owner pays the corresponding storage fee based on the file size and bandwidth consumed in such a process.

Computing power payment: Payments from user to owner for usage, and remuneration for software developers is going to be exclusively conducted in CVT.

Data exchange: On CyberVein's federated learning platform, the data acquirer trades the data at a price contracted between the two parties for distributed modeling applications.

CROSS NFT issuance payment: Dapp businesses are obligated to pay for Storage and Data Exchange in light of network resources occupied, and may set up CyberVein token as a means of payment to issue NFT or conduct business in accordance to their desired business model.

CyberVein tools include:

PISR Consortium database, creates better data management: through safe and reliable virtual machine operation and maintenance of user data, data is efficiently aggregated for upstream data, and data traceability and tracking are realized to ensure the reliability of data sources and outputs, and achieve cross-level, cross-departmental data sharing to improve the timeliness, diversity, stock and density of data to realize the commercial value of data, and truly solve the problems in data flow.

DAG storage chain, creates safer data storage, with better efficiency, no block confirmation, low transaction fees, and also eliminates miner, supports asynchronous verification and parallel processing of each node, the more nodes, the faster the speed, the stronger the scalability, which leads to better scalability. The database backup on DAG storage chain provides an extra layer of security for businesses.

Cytrix, allows GPU to be shared. Nodes can contribute part of their GPU to the network, in return for compensation through the Proof of Contribution mechanism. The contributed GPU can aid enterprises or individuals in data modeling with federated learning.

Federated Learning Platform, enables data to be monetized. Federated Learning is a distributed machine learning workflow. The datasets are first trained locally, and the data of all parties is kept locally, without revealing privacy or violating regulations.  Individual terminals return trained models to the server to create a shared model. Effectively protect data privacy and security, solve the problem of information silo, and thus realize the value of data. The platform will also provide algorithms to support data modeling operations by enterprises and individuals.

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