ProximaX is an advanced extension of the Blockchain and Distributed Ledger Technology (DLT) with utility-rich services and protocols. Businesses, enterprises, and innovators can avoid costly and failure prone centralized architecture by utilizing an all-in-one sustainable platform which provides augmented secured services, content delivery, storage, and media streaming. The ProximaX protocol aims to offer DApp developers cost-efficient fault tolerant, multilayer, P2P cloud services including, but not limited to, blockchain-powered P2P storage and bandwidth. A fault-tolerant system is designed to ensure a system remains fully functional even when part of it is ‘down’ or unavailable. ProximaX will build a P2P cloud storage architecture with fault tolerance and a distributed database by removing the central entity and connecting all the servers (or nodes) in a mesh configuration. Failure of any single component of the mesh will have minimal effect upon the overall performance of the system. ProximaX protocol will ensure confidentiality and integrity of the data passing through a myriad of nodes. The use of distributed databases (DHT) ensures consistency and integrity throughout the network. ProximaX distributed file management system (DFMS) interfaces with NEM blockchain and works in four scenarios: 1. ProximaX Public DFMS with NEM Public chain 2. ProximaX Private DFMS with NEM Public Chain 3. ProximaX Public DFMS with NEM Private Chain 4. ProximaX Private DFMS with NEM Private Chain ProximaX will provide DApp developers with an easy-to-use SDK that abstracts the ProximaX protocol layer into a dynamic second layer on top of the NEM blockchain layer that can carry different unique DApp protocols. This will ensure that the DApp developers can build great P2P applications with the best possible security protocols without relying on points of central authority. It will empower developers to build apps and monetise in the ways they want without any unnecessary compliance pressure. This solution makes use of the NEM blockchain for value and hash transaction and the NEM cryptography framework to gain access to the ProximaX DFMS and work in a tightly integrated environment based on the above four scenarios.
Lunyr (pronounced Lunar), however, is one of the most unique implementations of blockchain yet, aiming to be a decentralized, and peer-to-peer knowledge database, aka the “Blockchain-based Wikipedia”. It strives to be the most innovative and comprehensive source of knowledge in domains like crypto projects, technology, finance, law, investment, and more, on the web. The cofounders of Lunyr are Arnold Pham, Andrew Tran, and Christopher Smith. The Lunyr ICO ended on 26th April 2017, with around USD 0.3 million in capital being generated. The open beta was then launched on 30th January 2018. It is based on the Ethereum network. The reward system which enables writers to earn rewards for authoring articles was also launched at the same time, allowing writers to earn LUN coins in exchange for quality pieces. Initially, Lunyr will mostly focus on the world of cryptocurrencies and related domains, with emphasis on up and coming projects. After an active and dedicated community of readers and writers is developed, Lunyr will branch into other areas such as science and technology, investment, finance, etc. Lunyr is unique in its vision, and usage of the blockchain technology in order to provide a comprehensive, decentralised, crowdsource, and peer-reviewed vault of knowledge, open and free to everyone. Lunyr aims to not only be a knowledge encyclopedia for the web, but also intends to enhance the blockchain technology by giving DApps (Decentralised Applications) the ability to tap into the knowledge base and access real-time data. This innovative feature can be used in applications ranging from Virtual Reality to Artificial Intelligence. The decentralised and peer-to-peer nature of Lunyr allows all content on the knowledge-base to be free from manipulation, and censorship. Since all submissions are peer-reviewed by the community, the chances of incorrect or dubious data making its way onto the encyclopedia are very low.