Dynamic and history value of price R. Maximal value of price Revain was 1$ - 2020-05-13 14:00:18, Minimal price of R was 1e-20$ value and fixed at 2020-05-19 04:00:16. Today price of Revain is : 1$
Revain is a new-generation feedback platform based on blockchain technology. Comments posted by users on the platform cannot be modified and deleted, and user reviews will be rewarded. In addition, the abbreviation of the Revain project is very short, it is called R, but it is easy to confuse directly, so the full name Revain is generally spelled. Commerceblock develops a public sidechain on top of Bitcoin, allowing assets to support token issuance, distributed smart contract execution and supplementary services to meet regulatory needs. Using blockchain technology, revin managed to create an economic model that allows ordinary users to stay motivated by our token RVN. Using the second marker-R and a non-linear conversion mechanism, Revain obtained an absolutely stable international marker. revain can create a transparent system that guarantees immutability and invariance. Revain aims to revolutionize the online review community through blockchain technology. Its platform is designed to collect real user reviews for projects and startups that have completed the crowdfunding phase. The platform is implementing a service that will ultimately allow businesses to get detailed and authentic feedback on the project, while users will be able to gain experience from other people’s ICOs and share their insights. The platform will bring together information on token dynamics and major milestones in entrepreneurial development. Revain technical characteristics Artificial Intelligence-Our service is developed in close cooperation with high-tech IBM AI Systems. The stable token-RVN token, the internal platform currency, cannot be changed at all. Censorship invariance-Due to the use of blockchain technology, all comments cannot be deleted or changed. Rewards-Users get rewards in every review. The only requirement-the review should pass the filtering stage. Automatic filtering-we use machine learning and neural networks to detect all types of spam text: spam, food, abuse, and more. A fair system-we take trust to an absolute degree, that is, the system can completely avoid trust and use anti-fake comment protection to operate through a decentralized management structure.