Blockchain-driven Web3 social protocols are reshaping users’ perception and experience of social networks. With features like decentralization, personalization, and community governance, Web3 social protocols offer users a more secure, intelligent, and engaging social experience. As blockchain technology and artificial intelligence continue to advance, the thriving ecosystem of Web3 social platforms is gradually becoming the fourth major Web3 trend after encrypted payments, DeFi, and NFTs.

As a globally renowned Web3 social application, INTO aims to enhance on-chain data utilization and expand the Web3 ecosystem by constructing a data layer. INTO is poised to become a standardized tool for recording and evaluating user behaviors on-chain, providing crucial support and assurance for the establishment of trust mechanisms and social value systems in the Web3 world.

Exploring the Role of On-Chain Credit in the Web3 World

In the Web2 era, users’ social reputation and value were quantified and displayed by platforms, where metrics like the number of followers, video views, likes, and subscriber counts reflected an account’s value. However, in the present day of the world of Web3, there is no quantification method for on-chain user behavior, let alone economic value. With the emergence of on-chain credit in the blockchain ecosystems of the Web3 era, groundwork is being laid for exploring on-chain behavior records and encoding, and even encoding users’ real-world credit records on-chain, jointly constructing users’ identity and reputation both on and off-chain.

For instance, a user’s on-chain address can be linked to personal education, work history, medical records, property ownership, and other tokens, enriching personal tags. This can even include their consumption behavior, credit status, asset situation, etc., to form an on-chain version of a “Sesame Credit Score.” INTO provides an innovative approach and solution for exploring reputation mechanisms in Web3.

To achieve this goal, INTO stores user data on the blockchain, realizing decentralized data management. Users have their own private keys, fully controlling their data, and can selectively authorize access to other users or applications. This decentralized data storage method greatly enhances user privacy protection.

Moreover, leveraging intelligent technology, INTO provides a more personalized and intelligent social experience. By analyzing users’ social behaviors, interests, and other data, intelligent algorithms can recommend more relevant and engaging content, increasing user social participation and satisfaction. Additionally, because data is stored on the blockchain, users can have more accurate control over their data, thereby avoiding issues caused by algorithm manipulation.

INTO Discovers the Unique Value of On-Chain Credit

While web technologies naturally address credit issues, on-chain credibility has long been a challenge. SBT (Soulbound Token) is a concept proposed by Ethereum founder Vitalik Buterin, aiming to further develop decentralized societies and regain ownership of our identities through digital means. This implies enhancing the security of DAOs (Decentralized Autonomous Organizations) by providing a transparent and tamper-proof way to track and verify authentic voters. SBT represents the next stage in constructing a decentralized society with legitimacy and trust. The emergence of INTO expands the application scenarios of blockchain, enabling more applications requiring social evaluation and trust mechanisms to unfold in a decentralized environment, injecting new vitality and possibilities into the blockchain ecosystem.

INTO can combine individual reputation with NFTs, ensuring their uniqueness and non-replicability, thereby giving reputation a tangible form and enhancing its credibility and sustainability. Through SBT labeling, users’ reputations can be recorded and evaluated in the form of non-transferable tokens, providing a new approach and possibility for establishing a reputation mechanism in a decentralized world, laying the foundation for users’ social reputation and value in the Web3 world, and facilitating their behavior recording and assessment.

Furthermore, INTO emphasizes community governance, wherein users collectively participate in the management and decision-making of social networks. Through token economic models and DAO mechanisms, users can engage in the governance process of social networks, jointly determining the network’s development direction, rule formulation, and resource allocation. This community governance model enhances user engagement and sense of belonging, further promoting the healthy development of social networks.

SBT signifies faster and more direct access to our own personal information, without needing to prove the authenticity of each document, pay fees, or endure lengthy processing times. As we progress towards a decentralized society, the next step is digitizing our personal information to regain ownership. SBT represents a great way to increase individual ownership of things like credit scores, identity, education, and work experience, as well as improving the overall security and structure of decentralized societies. INTO provides technical support and infrastructure for establishing users’ social value systems in the Web3 era, enabling users’ social reputation and value to be quantified and displayed on-chain.

INTO Aggregates On-Chain Data to Sketch User Profiles

In the current Web3 ecosystem, data analysis products and overall paradigms remain limited to understanding users through data from individual addresses, a practice no longer sufficient for establishing rich, authentic data forms. If we aim to expand the application types and enhance product experiences within the current Web3 ecosystem, the key lies in addressing user profiles and data association.

With the widespread adoption of zero-cost account creation models across the entire Web3 ecosystem, and no direct restrictions on the number of user accounts or indirect restrictions through KYC, any data based on a single address cannot accurately depict user profiles. This status quo poses significant challenges for data analysis and product design, yet simultaneously presents opportunities for innovation.

Firstly, to address user profile and data association issues, we need to shift from traditional data analysis thinking. Traditionally, people tended to confine user data to individual addresses. However, in the Web3 ecosystem, user activities may be dispersed across multiple addresses, each possibly associated with different aspects of the user’s identity, interests, and behavioral habits. Therefore, we need to collect, integrate, and analyze data across addresses more flexibly and comprehensively to establish more complete and accurate user profiles.

Secondly, leveraging the characteristics of blockchain technology, particularly the immutability and transparency of on-chain data, can help address user profile and data association issues. Through data such as transaction records and smart contract executions on the blockchain, we can gain clearer insights into user activities and behaviors across different addresses, thereby building more comprehensive and authentic user profiles. Additionally, using encryption technology and privacy protection mechanisms can safeguard users’ personal privacy while ensuring the security and credibility of data.

Finally, leveraging technologies such as artificial intelligence and machine learning can further enhance the accuracy and intelligence of user profiles and data association. By deep learning and the pattern recognition of vast amounts of cross-address data, we can discover potential correlations and behavioral patterns among users, better understanding their needs and motivations, and providing more personalized and precise recommendations for product design and services.

In Web3, the application of user behavior profiles can be more privacy-secure and personalized. INTO can utilize user profiles to collect user data through decentralized identity verification, combined with blockchain technology to ensure the security and credibility of data. Such user profiles can be used to provide personalized advertising. Specifically, through the integration of on-chain data across protocols, fragmented data can be systematized and materialized to sketch user profiles, helping Web3 protocol builders better understand users and providing data support for the integration of Web3 with the real world.

Advertising delivery and settlement can be achieved through smart contracts while protecting user privacy. Additionally, INTO can use user profiles to provide personalized ecosystem application services, such as recommendation systems based on factors such as user interests and behavioral habits, and social networking functions, thereby enhancing user experience and ecosystem closure.

In conclusion, on-chain credit, as a new type of digital asset, plays an important role in the Web3 era, providing new ideas and solutions for exploring and establishing reputation mechanisms, promoting the development and improvement of the blockchain ecosystem. The emergence of INTO will also address user profile and data association issues, better understanding and serving users, driving the healthy development and innovative applications of the Web3 ecosystem, and laying the foundation for building a more open, transparent, and trustworthy cyberspace.

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ABOUT INTO:
INTO is a pioneering Web3 social protocol, leveraging blockchain and AI technology. It offers features such as crypto wallets, SocialFi, the SoulBound Token (SBT), AI tools, and more. INTO’s mission is to create a globalized Web3 social network, fostering an open, free, engaging, compatible, and secure communication environment for users worldwide.

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