AI reshapes the new era of Web3, and Match's forward-looking layout achieves leadership

The Web3 era has arrived, and this internet revolution centered around blockchain technology is reshaping every aspect of human society. At the same time, artificial intelligence (AI), as the most cutting-edge technology today, is also deeply integrating with Web3, empowering various application scenarios within the Web3 ecosystem and injecting a continuous stream of innovative momentum into its development.

Among the hundreds of "AI + Web3" conceptual projects, Match has emerged as a dark horse in the field. The recently popular GOAT focuses on the "AI + Meme" concept, but Match is the pioneer of this approach.

By deeply integrating AI technology with cutting-edge elements like SocialFi and Meme, Match has established an efficient value social network that provides users with precise investment insights and content recommendations, achieving a close combination of social relationships and economic value. This forward-looking approach enables investors and traders to capture emerging trends and narratives, taking the initiative in the ever-changing crypto market.

This article will explore the applications of AI in the Web3 market and look forward to the potential and value of the combination of AI and SocialFi.

I. Applications of AI in the Web3 Market

AI has broad application prospects in the Web3 market, playing an important role in various aspects from optimizing smart contracts to governing decentralized autonomous organizations (DAOs), from data privacy protection to enhancing user experience.

(1) AI + Web3 Security

The combination of AI and Web3 security can provide innovative solutions for protecting decentralized network environments.

First is smart contract auditing, which is also the core of Web3 infrastructure. AI can automatically audit smart contract code, detecting potential security vulnerabilities and logical errors. Through machine learning, AI can identify common security patterns and anomalous behaviors, thereby preventing potential attacks in advance. Secondly, AI can analyze on-chain transaction patterns to identify illegal activities such as money laundering and fraud. By continuously learning transaction behaviors, AI systems can monitor and flag suspicious transactions in real-time, enhancing the security of the Web3 ecosystem.

A representative case is OpenZeppelin, which provides a set of smart contract development tools and security auditing services to help developers write secure smart contracts. Among them, OpenZeppelin's auditing tools integrate AI algorithms to automatically scan for security vulnerabilities and coding errors in smart contract code. AI continuously optimizes its detection capabilities through machine learning, improving the accuracy and efficiency of audits.

Additionally, CertiK is another platform that uses AI technology to protect blockchains and smart contracts from attacks. CertiK's Skynet AI system can automatically detect potential vulnerabilities in smart contracts and provide remediation suggestions. Furthermore, CertiK utilizes AI for on-chain monitoring, identifying suspicious transactions and potential security threats in real-time.

Finally, AI technology can provide more advanced identity verification methods, such as behavioral biometrics, ensuring that only authorized users can access sensitive data and perform critical operations. This intelligent identity verification mechanism enhances the security and anti-fraud capabilities of Web3 platforms. A representative case is Evernym, whose Aries framework integrates AI technology to provide advanced biometric identity verification services that can analyze user behavior patterns, ensuring the security and accuracy of identity verification.

(2) AI + Data Collection and Analysis

In Web3, a large amount of on-chain data, distributed storage data, and user behavior data provide valuable data resources for AI. AI algorithms can mine and analyze these massive datasets to uncover hidden value insights, empowering Web3 applications. For example, price predictions based on blockchain data and user profiling analysis.

A representative case is Chainlink, a decentralized oracle network designed to provide external data and computing resources for smart contracts. Among them, Chainlink Node fully utilizes AI technology. Chainlink Node can automatically obtain data from multiple sources using AI algorithms and analyze and compare it to ensure data accuracy and reliability. This greatly improves the efficiency and security of smart contracts in obtaining external data, reducing the complexity of integrating external data. Of course, this also raises higher requirements for the interpretability and auditability of AI algorithms. If the AI system fails, it could lead to the paralysis of the entire oracle network.

Another representative project is Numerai, which uses AI to analyze crypto data and create predictive models. In this way, Numerai can provide more accurate market predictions, helping investors make more informed decisions. The downside is that the incompleteness and noise of market data may affect the accuracy of AI models. Additionally, over-reliance on historical data for predictions may not effectively respond to sudden market changes.

(3) AI + Metaverse

The metaverse is a virtual network composed of multiple 3D virtual worlds where users can engage in socializing, entertainment, creation, and trading activities. The combination of AI and the metaverse brings revolutionary changes to the construction of virtual worlds and the enhancement of user experiences.

First, AI can endow virtual characters (including non-player characters, NPCs) in the metaverse with intelligent behaviors and natural language communication capabilities. A representative case is Somnium Space, an open and decentralized metaverse platform. By integrating AI technology, NPCs in the platform can engage in natural conversations with users, providing a more authentic and immersive experience. The downside is that the intelligence of NPCs may make it difficult for users to distinguish between real people and virtual characters, raising ethical and privacy concerns. At the same time, highly intelligent NPCs may require significant computational resources.

Moreover, AI can automatically generate content in the metaverse, such as buildings, landscapes, and items, and provide personalized experiences based on user preferences. A representative case is Decentraland, which utilizes AI technology to automatically generate personalized environments and activities based on user preferences, enhancing user engagement and satisfaction. The downside is that automatically generated content may lack diversity and creativity, leading to a homogenized user experience. Additionally, content personalization may pose risks of user privacy breaches.

Furthermore, AI can simulate economic activities in the metaverse, optimize resource allocation, and predict market trends. A representative case is Cryptovoxels, a virtual world based on Ethereum. By applying AI technology, the platform can analyze user behavior and transaction data to predict price trends for land and items, providing decision support for investors. The downside is that AI's market predictions may be affected by data quality and algorithmic biases, leading to inaccurate predictions. Additionally, over-reliance on AI may cause the market to lose diversity and innovation.

(4) AI + DAO

DAO, as a new organizational form based on blockchain technology, aims to automate decision-making and execution processes through code and smart contracts, thereby achieving decentralized operations. However, the governance process of DAOs is complex and cumbersome, requiring the handling of a large number of member votes, fund allocations, and other affairs, which places high demands on the efficiency and transparency of the organization.

At this point, AI technology plays an important role again. AI can make smarter and more autonomous decisions based on large amounts of data and complex algorithms, reducing human intervention. This not only improves the efficiency of DAOs but also enhances their autonomy. AI technology can help DAOs better perceive changes in the external environment and respond quickly. At the same time, AI can automatically optimize the internal operating mechanisms of DAOs, enhancing their adaptability. AI + DAO can achieve more innovative functions, such as automated operations, smart contract management, risk prediction, and resource scheduling, significantly enhancing the value creation capabilities of DAOs.

A representative case is DAOstack, a platform that provides governance solutions for DAOs. It utilizes AI to assist members in decision-making. The AI system analyzes historical voting data and proposal content to predict the outcomes of different decisions, providing decision support for members. This application improves governance efficiency and reduces decision-making uncertainty. However, this also requires AI models to have high transparency and interpretability to gain the trust of members.

Another case is Aragon, a platform for creating and managing DAOs that allows users to customize organizational structures and governance processes. The application of AI in Aragon mainly focuses on automated execution and monitoring. The AI system can automatically execute DAO decisions and monitor the operational status of the organization in real-time, promptly identifying and responding to potential issues. This improves the efficiency and responsiveness of DAO operations, but it also requires strict error handling and supervision mechanisms.

II. AI + SocialFi + Meme, Match Leads the Future

The previous sections introduced various application scenarios of AI in Web3, but I believe that AI + SocialFi (social finance) has the potential to become the next industry narrative with value. AI + SocialFi will bring users a new digital asset management experience and create new growth opportunities for Web3 projects. Compared to other projects, Match has demonstrated outstanding foresight in the application of AI technology, mainly reflected in the following aspects:

Value discovery from a social perspective. The Match platform fully utilizes AI technology to deeply analyze user conversations on social media, discovering potential emotional changes and value trends to provide users with more forward-looking investment advice. This proactive insight based on social perspectives enables Match to capture emerging investment opportunities in advance, guiding users to seize market opportunities. This advanced market judgment capability undoubtedly helps investors take the initiative in fierce competition.

Precise user profiling and matching. Unlike traditional social platforms, Match automatically extracts and analyzes users' social behaviors, transaction data, etc., through AI algorithms to derive precise value insights, recommending personalized investment advice and content to users, achieving accurate matching between users and project parties. This AI-driven precise profiling and optimized matching not only improves user retention but also brings continuous commercialization opportunities for project parties.

Building an ecological value network. Match deeply integrates AI technology with social relationships, Meme culture, and other elements to construct a new value network. In this network, users can not only communicate on topics of interest but also earn economic rewards by participating in various activities of Match. For example, users can stake Match NFTs to mine for RFG tokens and earn high returns. Alternatively, they can trade based on AI-recommended precise investment signals to achieve substantial investment returns. This innovative model that combines social attributes with wealth codes greatly stimulates user participation and stickiness. Users can not only enjoy quality services but also receive continuous economic returns, achieving a deep integration of social interaction and wealth.

In summary, the Match project fully leverages the innovative potential of AI technology to build a new ecosystem that integrates social, financial, and content creation aspects in the Web3 social domain. This not only provides users with rich value experiences but also lays a solid foundation for the long-term development of the project itself.

From the user perspective, Match's AI-driven features can help users quickly discover interesting content and quality investment opportunities while continuously enhancing user stickiness through social interaction and economic incentives. This user-value-centered design philosophy will undoubtedly drive the Match community to grow continuously and ultimately realize a fan economy system with universal participation.

From the project perspective, Match's AI technology not only improves the operational efficiency of the platform and reduces cost inputs but also empowers innovative application scenarios such as SocialFi and Meme economy, establishing sustainable commercialization capabilities. This forward-looking technological advantage will help Match stand out in the fierce Web3 race and lead new industry trends.

III. Match NFT Auction in Progress

In the future, Match will leverage its first-mover advantage to further refine these AI applications, continuously optimize performance, and provide higher quality services for Web3 participants. This will not only bring good development prospects for Match and its participants but also contribute to the long-term prosperity of the Web3 ecosystem, achieving human-machine collaboration and mutual progress.

Currently, the market capitalization of several leading applications in the SocialFi sector is over $100 million, with FDV (which can be understood as valuation to some extent) exceeding $1 billion. Additionally, the market capitalization of the top applications in the AI sector is also over $300 million, with WLD circulating market capitalization at $580 million and FDV reaching as high as $21.2 billion; the leading projects in the Meme sector are generally above $200 million, with some even reaching several billion dollars. With the three major buffs combined, Match's future valuation is expected to be at least $1.5 billion, potentially reaching $2 billion or even $3 billion.

Based on Match, the two core assets—NFTs and RFG tokens—are bound to rise in value. It is worth mentioning that Match is currently conducting an NFT auction.

According to the white paper, there are two types of assets on Match: Match NFTs and RFG tokens. NFT staking is the only way for early participants to obtain RFG tokens. There are three types of Match NFTs, representing different mining weights, numbered α, β, and γ, with mining weights of 1.1x, 1.2x, and 1.3x respectively—γ has the highest mining weight, thus its value is relatively higher. The issuance of each type is 15,000, totaling 45,000.

Considering fairness, 90% (i.e., 40,500) will be distributed to users through Match's unique decentralized English auction in a completely fair manner, with a completely random blind bid, sold according to the bid amount. In simple terms, the starting price of the second phase of the auction will be determined by the transaction price of the first phase. The entire auction consists of 10 phases, with a total of 4,050 NFTs in each phase.

Currently, the seventh phase of the Match NFT auction will start on November 7. In the first six phases of the auction, the total number of participants exceeded 23,000, with a total transaction amount reaching $4.29 million.

Notably, the NFT floor price has risen from $70 in the first phase to $259, an increase of 270%, with an average increase of over 30% each time; based on this trend, the floor price of the last phase NFT is expected to reach $740, meaning that the NFT assets held by participants from the first phase will appreciate by over 710%. Among them, if users hold the rarer γ-level NFTs, their prices will also be higher than those of general NFTs, leading to greater returns.

Many crypto KOLs are actively recommending Match to their followers on social media.

For users, the earlier they participate, the higher their returns. Whether you are an experienced crypto investor or a newcomer, Match NFTs offer a rare opportunity to witness Match opening the door to new wealth opportunities together.