cover of episode EP28: Covalent: Fueling AI & DA with Our Specialty

EP28: Covalent: Fueling AI & DA with Our Specialty

2024/3/29
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Ganesh Swamy
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Ganesh Swamy:Covalent 的创立源于一次偶然的 Hackathon,其核心目标是使区块链数据更易于访问,并弥合中心化和去中心化系统之间的差距。在发展过程中,Covalent 面临的主要挑战是融资困难和市场风险,尤其是在熊市期间。Covalent 提供统一的 API 接口,使开发者能够轻松访问各种区块链的数据,而无需为每个链分别构建接口。Covalent 的业务模式是一个飞轮效应,开发者使用 Covalent 的数据,从而推动更多 dApp 使用 Covalent,进而吸引更多区块链加入,形成良性循环。Covalent 提供结构化数据,为大型语言模型 (LLM) 提供训练数据,并支持各种 AI 模型的应用案例,例如诈骗检测和预测分析。CQT (Covalent Query Token) 是 Covalent 生态系统的核心,用于激励网络运营商,并通过回购机制将链下收入转化为链上价值。Covalent 的收入增长战略是基于其多产品策略,并通过与 RPC 提供商合作以及填补数据堆栈中的空白来实现。中心化数据索引器不符合去中心化技术的理念,而去中心化数据索引器在安全性方面更具优势。当前市场趋势包括数据可用性 (DA)、人工智能 (AI) 和 LSD/LRT 等流动性抵押品。Covalent 仍处于早期发展阶段,最大的投资是投资自身。

Deep Dive

Key Insights

What is the core idea behind Covalent and how does it differentiate from traditional databases?

Covalent binds centralized systems and decentralized systems, treating blockchains like databases that can be queried and indexed. Unlike traditional databases, Covalent focuses on making blockchain data accessible in a decentralized fashion, acting as middleware that bridges the gap between blockchain infrastructure and existing workflows like Excel.

What were the major challenges Covalent faced during its early years?

Covalent faced significant market and financing risks during its early years, especially during the bear market of 2018-2019. The team bootstrapped without external capital and struggled to find product-market fit. Additionally, there was technology risk, but they benefited from the dominance of EVM (Ethereum Virtual Machine) in the blockchain space.

How does Covalent's unified API simplify blockchain data access for developers?

Covalent's unified API allows developers to access data from over 200 blockchains with minimal changes. For example, switching from Ethereum to Solana or Polygon requires just one character change in the API call. This eliminates the need to rebuild the stack for different chains, making it highly efficient for developers.

What role does Covalent play in the AI and data availability (DA) narratives?

Covalent provides structured data, which is essential for training large language models (LLMs) and AI applications. Its extensive historical and real-time Web3 datasets enable use cases like on-chain copy trading, fraud detection, and predictive analytics. Covalent's data is foundational for AI models in the Web3 space.

What is the significance of the CQT token in Covalent's ecosystem?

CQT (Covalent Query Token) is a staking and governance token that underpins Covalent's decentralized economy. Revenue from developers using Covalent's API is used to buy back CQT, which is then distributed to node operators. This creates a flywheel effect, incentivizing long-term data availability and participation in the ecosystem.

How does Covalent's decentralized indexing compare to centralized alternatives?

Covalent's decentralized indexing offers cryptographic security, ensuring that every data mutation is auditable. This level of trust is crucial for advanced use cases in crypto. Centralized indexers, while they may gain some traction, lack the same security guarantees and often fail to sustain long-term viability in the Web3 space.

What notable trends is Covalent observing in the current market cycle?

Covalent is seeing significant trends in data availability (DA) and AI, with a growing focus on structured data for training models. Additionally, liquid staking tokens (LST) and restaking mechanisms are gaining attention. Covalent remains focused on its core expertise in data and AI, avoiding speculative trends.

What is Covalent's strategic plan for revenue generation?

Covalent aims to drive revenue through its unified API, Gold Rush block explorer, and Increment dashboarding product. The company is also capitalizing on the growing demand for historical blockchain data, with partnerships like Infura driving traffic to Covalent. The focus is on expanding use cases and improving data accessibility.

Chapters
Ganesh Swamy, CEO of Covalent, shares his unconventional path to the crypto industry, starting from cancer research and database work. He explains how a hackathon in 2017 led to the creation of Covalent, focusing on making blockchain data more accessible.
  • Ganesh's background in cancer research and database infrastructure.
  • Covalent's founding story during a hackathon in 2017.
  • Covalent's core function: making blockchain data more accessible through a unified interface.

Shownotes Transcript

Welcome to another episode of WEB3 Founders Real Talk! Get ready for an enlightening discussion with Ganesh Swami, the CEO of Covalent, as he unveils Covalent's product development progress and strategic plans for revenue generation, lists AI model use cases empowered by Covalent, and shares noteworthy trends in the cycle. Tune in now for an episode that promises both insight and inspiration! 

👉 Transcript Entry)

00:25 Introduction of Ganesh and Covalent

05:39 Challenges & Resistance

10:13 Differences with Other Data Solutions

14:49 How the Flywheel Works

18:14 Product Development Progress

20:18 Use Cases of AI models

24:13 How CQT Plays Within the Ecosystem

27:58 Strategic Plan for Revenue Generation

31:35 Viewpoint on Centralized Data Indexing

35:56 Notable Trends

39:30 Two Thoughts

Disclaimer: This channel is for informational purposes only and should not be construed as investment advice. All the opinions expressed by channel guests are solely their own opinion and do not represent either【WEB3 Founders Real Talk】or Mint Ventures in any way. WEB3 Founders Real Talk将对话Web3海内外项目的创始团队,为大家带来最直观的创业故事分享。 本期我们邀请到Covalent的CEO Ganesh Swami,他将揭晓Covalent的产品开发进展和针对收入增长的战略计划,列举由Covalent赋能的AI模型使用案例,并分享这个周期中值得关注的趋势。

👉 中文文字版)

重要声明:主持人或者嘉宾在播客中的观点仅代表他们的个人看法。此播客仅用于提供信息,不作为投资参考。