Potential Market

As the Crypto market gradually matures, investors are increasingly demanding a broader, deeper, and more forward-looking range of information. In this race of information and speed, traditional data services are no longer able to meet the sensitivity requirements for data. This has created an important market opportunity for us to focus on the product form of "private domain community data."

(1) Private Domain Data: A Blank Market Yet to be Systematically Developed

Currently, private domain communities—such as Telegram groups, Discord servers, and private KOL circles—still represent an information blind spot, carrying genuine discussions, opinion fermentations, and information flows.

The interpersonal networks within private domain communities are the main channels for asset dissemination. By analyzing these relationship chains, we can infer structural information such as the funding distribution behind projects, potential market manipulators, and early participants, providing new perspectives for risk assessment and strategy deployment.

Compared to mainstream assets like BTC, Altcoin information is heavily reliant on community dissemination. Systematic and structured monitoring tools for private domain data can strengthen the market's risk assessment mechanisms for these assets, promote the development of derivatives, deepen investors' or quantitative institutions' understanding of the true counterparty structure, and increase participation in the Altcoin market.

(2) Differentiated Positioning, Building Industry Barriers

• We are the first market player to focus on the information processing of private domain communities and build Crypto financial association indicators as a functional data platform. This positioning allows us to achieve differentiated advantages in multiple dimensions:

• An independent data perspective from traditional on-chain/public domain data service providers can fill the gap in "behavioral data" dimensions for existing institutions in trading decisions;

• Building a community sentiment indicator library can serve various scenarios such as quantitative trading strategies, risk model optimization, and trend tracking;

• We possess significant technical barriers in data processing capabilities: private domain community data is naturally unstructured and has a low signal-to-noise ratio, making it much more difficult to process than on-chain data. Our algorithms and experience in data collection, cleaning, and structured modeling will form a moat for the platform