In today’s rapidly developing Web3 and AI landscape, “trust” has become a core topic: how do we trust data, trust models, trust sources? The emergence of the project Intuition (TRUST) is precisely aimed at addressing this era’s pain points. This article will analyze its highlights, launch timing, and participation logic from a beginner’s perspective, helping you understand why it is worth paying attention to.
In the traditional internet era, information is concentrated in a few institutions, resulting in an asymmetric trust between users and platforms; as AI applications become more widespread and data volumes explode, the questions of “who provides the data, where the data comes from, and whether it is trustworthy” have become challenges.
The vision of Intuition is to integrate human intuition, social behavior, and contribution data into the economic system, giving verifiable value to every piece of data. In other words, if DeFi is the infrastructure designed for “value,” Intuition aims to provide the underlying blockchain support for “information and trust.”
Data Assetization: In the Intuition network, users are not only consumers of information but can also become “owners” of information. By staking TRUST tokens, users can support a specific claim, and when that claim is verified or referenced, they can receive rewards. This mechanism transforms “trust” itself into an economic asset.
Knowledge Graph Mechanism: The project introduces the concepts of Atoms (atomic entities) and Triples (triplet relationships), mapping the real-world “subject-predicate-object” structure onto the blockchain. Users enhance information reliability by participating in the creation and verification of relationships, forming an on-chain knowledge network.
Ecological Structure: Intuition chooses to settle on the Base network and adopts the Arbitrum Orbit Layer-3 architecture. This not only maintains high performance and low cost but also balances decentralization and scalability. The overall structure is similar to a “trust foundation layer,” providing a secure and reliable data source for upper-layer applications and AI models.
These highlights indicate that Intuition is not just a token project, but an ecological infrastructure with the opportunity to become an important underlying support in the era of Web3 and AI.
Intuition (TRUST) will officially launch on mainstream trading platforms on November 5, 2025. This time point is highly anticipated as the previous Beta testing phase has attracted a large number of active users and on-chain data interactions.
During the public offering stage, the project achieved impressive results on both CoinList and Legion platforms, with oversubscription occurring, indicating a strong market recognition of its potential. The public offering price was approximately 0.085 USD, reflecting the confidence of early participants in the TRUST ecosystem.
From the perspective of fundraising status, participant numbers, and media attention, Intuition has already garnered strong market interest, providing a solid foundation for subsequent trading launch.
In the Intuition network, the TRUST token is not just used for transactions; it is the core of the entire ecosystem.
This mechanism not only encourages users to provide real and valuable information, but also allows the entire system to continuously self-correct and grow under economic incentives.
For novice investors or observers, the following points are particularly important:
Intuition (TRUST) is not only the protagonist of a public fundraising boom but also represents a new trend in the Web3 + AI era: transforming “trust” into economic assets. Through data staking, knowledge graphs, and Layer-3 structural design, the project provides a new approach for information circulation and verification.
With the official launch on November 5th, the market will witness the first step of TRUST moving from concept to practice. For newcomers, this is an innovative experiment worth paying attention to, as well as an excellent starting point to understand the era of “Information Finance (InfoFi).”
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