Press Release
Press Release KNN3 Network, a Web3 relationship aggregator, announced that it has raised $2.4 million in a seed round led by former HashGlobal and Fosun International co-founder Liang Xinjun. KNN3 Network, a Web3 relationship aggregator, announced today that it has raised $2.4 million in a seed round led by Liang Xinjun, former co-founder of HashGlobal and Fosun International, along with Mask Network, MetaWeb Venture, Eniac Venture, Tess Venture, Stratified Capital, Fundamental lab, Incuba Alpha, Zeuth Venture, Cogitent Venture, Atlas Capital; Impossible Finance, RSS3, ShowMe and Yan Xin &. ETHsign co-founder Potter Li also participated in the round; KNN3 Network plans to leverage $2.4 million in funding for protocol development and product market adaptation.
From these struggles with data isolation and cross-platform redundancy, we can agree that a universal solution for interoperability is the only way forward. It is with this belief that these investors have decided to support the KNN3 Network to drive the future of multi-chain relational aggregation and a diverse, decentralized world.
KNN3 Network’s Vision
After a paradigm shift, distributed application processors became central to Web3, bringing peer-to-peer transactions and optimized counting of state changes to the world .
“Just as smart contracts and decentralized virtual state machines underpin blockchain, decentralized WWW solutions return ownership to users and bring democracy back to the Web.” Thomas Yu, co-founder of KNN3 Network, stated. “But we need to keep updating our Web3 knowledge to generate more flexible and innovative ideas. Without permission and cross-platform data collaboration, individual applications will just run in silos. For example, a Web3 flywheel would not be able to run the crypto world. Therefore, it is imperative to have a more sophisticated protocol for Web3 data reusability, and as a multi-chain relational aggregation protocol for dApps and analytics, the KNN3 network fills that role perfectly.”
What is KNN3 Network.
KNN3 Network provides a Web3 graph solution for relationship aggregation across multiple blockchain universes to enhance social dApps and AI analytics. It aims to be a community-driven data curation protocol that enables on-chain data collaboration.
“The team believes in relationships creating meaning by transforming user footprints into relational connectors that collectively form a massive graph network.” Thomas Yustated.” The team is excited to be part of the Web3 wave and hopes that the KNN3 network can get the ball rolling.”
If a user is a web3 dApp builder, KNN3’s high-performance GraphQL can be used to seamlessly retrieve rich web3 user relationship data. through a user’s past actions and status, KNN3 Network can It collects and aggregates multi-dimensional relationships.
If the user is a web3 analyst, KNN3 allows for structural and relationship queries in one place. In addition, it provides an SQL-style graph query component for SQL-compatible BI/analytic platforms and can be integrated with existing query services. Additionally, algorithm developers can build and train AI/ML algorithms in KNN3’s graph computing environment solution.
Permissionless Cross-Platform Data Collaboration Solution
“AI analytics toolkits allow people to extract value from data on individual platforms, but these applications typically work in isolation. When such applications fragment the market, users navigate a very complex environment. In short, there is a lack of integrated middleware that enables more advanced Web3 use cases.” and as Thomas Yu explained,“The company wants to move forward without compromising crypto’s core values of composability and plug&-play. The KNN3 network offers such a one-stop-shop solution for on-chain data-driven dApps. Compared to traditional SocialFi dApps that incorporate Software as a Service (SaaS), KNN3 Network offers an untrusted protocol that features decentralized services (DAAS) and true censorship resistance.”
Usage Example
In its current iteration, the KNN3 Network provides data solutions for social discovery and user empowerment to web3 dApps. Specifically, we provide virtual credentialing services to Quest3. This is the underlying architecture of web3’s on-chain Quest system, which is used to verify whether a web3 user is qualified to complete a particular task, and provides a social graph for MetaMail and Shorum. knn3 provides real-time reliable analytical environment for user recommendation algorithms based on on-chain data, facilitating users to connect with more friends with a single click.
It also provides an AI-friendly solution to the Algorithm Registry: with KNN3’s easy-to-use graph database and open algorithms, the latter allows users to choose their own algorithms and submit algorithms on an open platform can be established. In the future, the KNN3 network aims to become a data federation building block to enhance mix-dApp, SocialFi, and open AI.
Target Customers
KNN3 Network’s permissionless relational aggregation solution and virtual credentialing services will primarily target SocialFi, on-chain credit protocols, web3 campaign tools. KNN3 Network also provides ecosystem tools that enable analytic platforms to extend their databases to seamlessly incorporate web3’s multi-chain relational data. knn3 Network’s vision is to enable NFT/DAO/GameFi promoters to empower them to engage more Web3 users while providing a better on-ramp experience with its profiling/enabling toolkit. The Web3 dApp builder can also provide a better Web3 social experience with its multi-chain graph solution.
About KNN3 Network
KNN3 is a Web3 cross-chain relationship aggregator that enables social discovery and user empowerment KNN3 Network is a Web3 graph solution for multiverse relationship aggregation, enhancing Social d/App and AI analytics.KNN3 aims to become a community-driven data curation protocol for on-chain data collaboration.
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This is a press release. Readers should exercise their own due diligence before taking any action related to the advertised company or its affiliates or services. or for any damage or loss caused or alleged to be caused, directly or indirectly.
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