Market Data & Token Stats
| Fully Diluted Valuation | $569,651 |
|---|---|
| 24H Trading Volume | $1,914 |
| 24H Low / High | $0.044953 / $0.047784 |
| Circulating Supply | 4.44B |
| Total Supply | 10.00B |
| Max Supply | ∞ |
Market Health Signals
| Vol / MC Ratio | 0.76% Low |
|---|---|
| Circulating Ratio | 44.37% Fair |
Key Project Information
| Categories | Smart Contract Platform 1 more |
|---|---|
| Founder | Sherman L. |
| Website | ravenprotocol.com Whitepaper |
| Socials | |
| Chains | Binance-smart-chain Ecosystem 1 more |
| Explorer | Binance 2 more |
| Contracts |
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OGAudit Security Evaluation & Social Audit Metrics
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Raven Protocol (raven) Expert User Reviews
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$raven Markets
| Name | Pair | OG Score |
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About Raven Protocol
Ravencoin (RVN) and Raven Protocol represent significant strides in blockchain and deep-learning technologies, each with its unique features and applications. Ravencoin, launched on January 3, 2018, marks a notable evolution in blockchain technology. It's a fork of the Bitcoin blockchain, specifically tailored for the efficient and decentralized transfer of assets. The Ravencoin blockchain stands out for its efficiency, offering a lower block time of 1 minute (compared to Bitcoin's 10), higher block rewards and a KAWPOW consensus algorithm that replaces Bitcoin’s Proof of Work. This algorithm, initially known as X16R, disrupts the fixed order of hashing algorithms, enabling GPU hardware mining and making it more accessible than Bitcoin’s ASIC-dominated mining process. Ravencoin’s commitment to decentralization is evident: there were no pre-mined coins, no initial coin offering (ICO) and no coins reserved for developers at its inception. Its native cryptocurrency, RVN, has a total supply of 21 billion, incentivizing validators in the network.
In contrast, Raven Protocol focuses on a different aspect of technology – deep-learning training. It is a decentralized and distributed protocol aimed at accelerating and cost-reducing the training of deep neural networks. By leveraging the combined computing power of the network, Raven Protocol offers a more efficient approach to handling complex deep learning tasks. This protocol signifies a breakthrough in the AI and machine learning field, promising to democratize access to advanced computing resources.
Both Ravencoin and Raven Protocol exemplify the diverse applications of blockchain technology beyond mere financial transactions. Ravencoin, with its asset-aware network, facilitates the easy tokenization of real-world assets, while Raven Protocol harnesses blockchain to revolutionize the field of deep learning. Their shared commitment to decentralization and efficiency marks a notable advancement in blockchain and AI technologies, reflecting a growing trend towards more accessible and democratic digital solutions.
What is unique about Raven Protocol (RAVEN)?
Raven Protocol is unique as a decentralized and distributed protocol for cost-efficient and faster deep-learning training using network-wide compute resources.
Who are the founders of Raven Protocol (RAVEN)?
Sherman L. is the co-founder of Raven Protocol.
Who are the backers/investors of Raven Protocol (RAVEN)?
Raven Protocol has garnered support from NGC Ventures, Mapleblock Capital, coinIX, GBIC and other investors and backers.
What is the consensus mechanism of Raven Protocol (RAVEN)?
Raven Protocol uses Proof-of-Calculation (PoC).
Where can I buy Raven Protocol (RAVEN)?
You can buy Raven Protocol (RAVEN) on PancakeSwap (v2) cryptocurrency exchanges.
Information in this section carefully collected and curated from publicly available data from official sources, including the Raven Protocol Official Website, Raven Protocol Whitepaper and Raven Protocol X (Twitter) Account.
The information presented on this page is created and published by the OGAudit Editorial Team for educational and informational purposes. It should NOT be construed as an endorsement, or as legal, or investment advice. If you believe any content on this page is outdated or incorrect, please feel free to contact us for updates and corrections.