Why did I choose to heavily invest in INIT? — An in-depth analysis based on technical barriers and market dynamics
Track Selection: Infrastructure-level narrative in the era of data elements, INIT anchors the Web3 data element circulation track. The project's proposed architecture of privacy-preserving machine learning + blockchain + zero-knowledge proof technology has been published in top global conferences and has received patent authorization, with technical barriers far exceeding similar projects like ARPA.
The current data element market faces Arrow's information paradox, where data circulation must ensure privacy and fairness of returns. INIT's solution covers data supply assessment, secure circulation framework, contribution incentive model, and hardware collaborative optimization, forming a complete closed loop. It is predicted that by 2025, the global data trading market size will exceed 100 billion, while existing solutions like Ocean Protocol only address fragmentation issues. INIT's end-to-end secure circulation is expected to become the industry standard.
Although similar project ARPA has recently surged with a 200% increase over 30 days, its technology only focuses on multi-party secure computation, while INIT's data element circulation platform is more aligned with Web3 infrastructure needs. Historical cases show that infrastructure projects like MATIC and DOT often outperform application-layer targets in the later stages of a bull market.
Data shows that INIT's trading volume on its first day surpassed the top 20 on the platform, with net inflow of over 5 million USD, far exceeding other new coins during the same period, such as XAI, which ranked only 47th on its first day. Among current holding addresses, the top 10 largest addresses account for 38%, which is below the industry average of 52%, indicating a healthy degree of chip dispersion. Notably, a certain address bought 1.2 million INIT within the first hour of opening, which may signal institutional positioning.
Users holding/trading tokens can gain dual benefits, with the current annualized return of locked APR exceeding 100%, far surpassing the industry average of 40-60%.
The project team has connected with a provincial big data bureau, and if the cross-domain modeling scenario for government data is implemented, it will open up a market worth tens of billions. AI large model training: The demand for large model training driven by private data has surged, and INIT's privacy computing solution can solve the data island problem.
With ARPA's current market value at 320 million USD, if INIT achieves breakthroughs in both technology and scenarios, the target market value could reach 500 million USD. INIT is currently one of the few projects that combines strong technology with market dynamics benefits.
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