# ***MELX in 5 minutes
***

Are you new to MELX? This is the article you should read first.

# ***Introduction***
The MELX network is a leading DAO, focussing entirely on the growing "to earn" economy. MELX provides its holders with staking rewards and governance power. $MEL is cryptographic token that fuels the MELX Network. A system of advanced token economics ensures direct allocation and rewards of every project that is developed within the MELX ecosystem. 

# ***Mission***
The mission of the MELX network is to develop to earn concepts to can disrupt how people live their daily lives in a positive way. As a consequence, MELX is make crypto adoption going mainstream.

# ***Focus***

To achieve our mission, we are working on several to earn projects in the following categories:

*  Games: play to earn games
*  Advertisements: create, interact and earn 
*  Activities: create, participate and earn

# ***The MELX DAO***

The MELX network is controlled by the MELX DAO. Voting rights are distributed pro ratio to $MEL holders. Within the MELX ecosystem there are incentives for stakeholders that add value (developers, marketeers, validators, users, etc).

# ***Current Projects
# ***

**Bike Battle** is the first own click-to-earn game, powered by MELX. Our mission is to build one the best click-to-earn game on the market. Awesome designs and game features on the outside combined with powerful tokenomics and reward mechanisms makes Bike Battle set a new standard in Defi 2.0 click-to-earn games.

[**Melalie**](https://www.melalie.com/) is a peer-to-peer (P2P) mobility marketplace. On the Melalie platform, people can rent vehicles from each other, without the need for intermediaries. By using Melalie, vehicle downtime is reduced with less pollution and traffic as a consequence. The Melalie apps are live and can be downloaded in the appstores. 

MELX

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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.