Search result of DLP

In this world where data is the new oil of the era, the emergence of Vana undoubtedly provides us with an important opportunity to reclaim data sovereignty. So, how does this promising project operate? Let’s delve into Vana's technical architecture and innovative concepts together.

Match Finance, the pioneering project in the Lybra ecosystem, has captured considerable market interest. Recently, Match Finance conducted a successful public sale, selling 15% of its platform tokens at a valuation of $5 million. Within two weeks of its launch, Match Finance has surpassed $8 million in TVL, showcasing its rapid growth and strong market demand.

With the current surge in the re-staking track, it undoubtedly injects fresh vitality into the Magpie XYZ ecosystem.

Vana is attempting to fundamentally change how personal data is owned and valued by making it democratic and monetizable. This effort aims to create an AI development ecosystem that is truly driven by users and provides them with profits. This article will explore Vana's core technology, the development of its testnet ecosystem, and its team and funding background, and will provide a guide on how users can actively participate in Vana’s ecosystem.

Radiant Capital (RDNT) is a cross-chain lending protocol on Arbitrum and BNB Chain, offering asset earning, borrowing, and staking for a seamless DeFi experience.

Navi is a native one-stop liquidity protocol on Sui. It allows users to participate in the Sui ecosystem as liquidity providers or borrowers. Liquidity providers supply assets to the market and earn passive income through yields, while borrowers can flexibly obtain loans in various assets.

As the largest lending protocol on zkSync, ZeroLend, on the verge of its token launch, offers not only airdrops to PYTH stakers but also mining opportunities to earn protocol, zkSync, and LayerZero airdrops.

This article introduces the Radiant Capital project, a cross-chain DeFi lending protocol that uses LayerZero as the cross-chain infrastructure to achieve full-chain leveraged lending and composability. Currently, Radiant, as an early project in the cross-chain lending industry, has a certain first-mover advantage. And as Radiant fully integrates LayerZero's full-chain technology in the V3 and V4 versions, it is expected to bring a new turning point to the project and further promote its full-chain lending to the market, which is worthy of attention.

This article explores Radiant Capital, a decentralized lending protocol, providing an overview of its principles, development, team, and more.

This article constructs a valuation model for RDNT, utilizing DCF, P/TVL, P/S, and P/E valuation methods, and predicts the fair value of RDNT by the end of 2023.

We previously discussed how AI and Web3 can complement each other across vertical industries like computational networks, intermediary platforms, and consumer applications. When focusing on data resources as a vertical field, emerging Web projects offer new possibilities for the acquisition, sharing, and utilization of data.

This article aims to clarify the current state of the LSDFi track by starting with data analysis and exploring the future direction of LSDFi through specific project analysis.

After being online for four months and occupying half of the market share of LSDFi, Lybra Finance keeps the eUSD interest rate at around 8% and recently announced that V2 will be launched soon. What changes will this bring to this emerging project?

This article analyzes the development trends of the DeFi ecosystem and discusses the challenges and opportunities faced by projects in the changing market.

Discussions around data ownership and privacy have intensified. Web3 data protocols like Vana, Ocean Protocol, and Masa are emerging, driving decentralized data sovereignty and enabling users to control and monetize their data, particularly in AI training and real-time data acquisition. These protocols offer new solutions for data trading and privacy protection, addressing the growing demand for high-quality data.