Recently, Kaito Yap has appeared frequently on X and has become a hotly discussed and even "teared" topic among many KOLs.

Kaito is an AI-based cryptocurrency data analysis platform. It recently launched a product called "Yap to Earn". Simply put, it means earning points by posting high-quality posts. Users can earn Yap points by posting posts, interacting, etc., and many people expect that these points may be converted into project tokens in the future.

More importantly, Kaito has established an AI scoring and selection mechanism for crypto KOLs, allowing you to see the dynamic rankings of well-known crypto influencers.

  • Click here to play and watch "Kaito Yap".

Image source: Shenchao TechFlow

It's important to note that Kaito Yap has two unique mechanics:

First of all, it remains mysterious. The specific scoring criteria and basis are not disclosed, and there is no clear scoring guide. This black box strategy has its advantages:

  • It maintains the mystery of the project, avoids complaints related to score calculation, and reduces invalidity disputes;

  • At the same time, it promotes users to continue to explore and innovate, and avoids the phenomenon of directional score brushing to a certain extent.

Secondly, everything is driven by AI. Kaito officials only give AI prompt words, and AI performs scoring and screening.

Perhaps "AI Helps AI" (just kidding), the number one spot on the CT Yapper rankings has long been occupied by crypto investment research AI Agent Aixbt, which has demonstrated content creation capabilities that surpass 99% of human users.

This kind of selection and scoring mechanism makes some people happy and others sad. Many crypto KOLs who used to specialize in commenting on projects have begun to take the initiative to roll back points. However, controversy and doubts also followed.

Reconciliation vs. Algorithmic Discrimination

The butt determines the head. From the perspective of the project side, they like to hear about such products. In essence, Kaito's set of products is a to B marketing service.

Nowadays, KOL marketing has become a must for marketing for a large number of crypto projects. However, the quality of KOLs varies, and the number of traditional fans and interactions cannot truly reflect the value of KOLs.

The superposition of a large number of trolls and robot accounts interferes with the information ecology, making it difficult for project parties to accurately assess the true influence of KOLs, and the effect of investing marketing resources is uncertain.

Providing project parties with a set of quantitative KOL selection criteria is a breakthrough attempt in Web3 marketing.

Some people support this mechanism and believe that the emergence of Kaito Yap is not only the birth of a points system, but also represents the new direction of Web3 social media - value-oriented instead of traffic-oriented, professional creation defeats fast food content. This helps to discover truly high-quality creators, and at the same time forces the KOL group to improve their professional standards, which has a positive effect on improving the entire cryptocurrency information dissemination ecology.

At the same time, Kaito Yap also faces doubts from KOLs and retail investors.

DeepChao TechFlow summarizes it and can be divided into the following categories:

  1. Circle effect: forming a closed ecosystem with a monopoly of the "core circle"
    Kaito Yap's ratings are tilted towards the top KOLs, and the core circle supports each other, making it difficult for newcomers to break into the high-scoring circle. Even if new creators produce high-quality content, it is difficult to obtain points similar to those of big Vs. What is more important is "circle interaction". Therefore, Kaito Yap is more of a game for big Vs and has nothing to do with ordinary people.

  2. Algorithmic discrimination: accused of discriminating against non-English content
    There are KOL feedback,Compared with English content, crypto bloggers with non-English content tend to receive lower ratings, and the value of localized content is underestimated.In addition, crypto KOLs with large institutional backgrounds gain greater weight than vegan accounts.

  3. Data limitations
    Currently, we only rely on public domain data such as public Twitter, lack social interaction data, and ignore the value of private domain traffic. For example, some KOLs who are active in Telegram groups perform poorly in Yap scores.

Regarding the question that the Kaito algorithm mechanism discriminates against Chinese content, Kaito staff said: "The AI ​​trained by Kaito uses the same set of prompt words. It thinks that if your content is not solid, it is not solid. It may be wrong, but it is the same for everyone. Fair."

Although there are some doubts, in the editor's opinion, Kaito is exploring a differentiated development path in the Web3 social industry through its points mechanism and community operation strategy. This is a positive and innovative move that deserves encouragement. Just as a growing platform, Kaito still faces some problems that need to be thought about and solved:

  • How to expand the user base while maintaining professionalism and give more opportunities to new people;

  • The sustainability of the points mechanism;

  • Continuous cultivation of community atmosphere and user stickiness.

In the future, with the continuous development of the Web3 social industry and AI, the evolution direction of emerging platforms such as Kaito deserves continued attention.

Kaito Yap point system strategy summarized by Shenzhen TechFlow

(1) Principle: Anti-spam content
Officials have made it clear that they will resist spam content and volume brushing. Repetitive, worthless posts will receive zero points. To sum up, quality is far more important than quantity.

(2) Pay attention to hot projects
Focus on the items on the Kaito dashboard:

  • Kaito；

  • Berachain；

  • Monad；

  • Xion；

  • Paradadex；

  • Eclipse；

NOTE: Points will not be awarded for simply mentioning the names of these projects, the key is to provide valuable analysis and insights.

(3)Interaction quality comes first
In addition to focusing on content publishing, Kaito pays special attention to the interaction of content, especially the interaction of high-quality accounts, such as receiving replies from influential users and real and effective likes.

(4) Precise interaction strategy
suggestion:

  • Follow and reply to big V accounts;

  • Participate in high-quality topic discussions;

  • Start conversations with high-interaction posts;

  • Stay interactive with leaderboard users;

  • Balance interaction frequency with content quality.

(5) Cryptocurrency theme orientation
Insist on publishing cryptocurrency-related content, use cryptocurrency keywords rationally, and give priority to discussions on hot projects.

(6)Recommended program participation
Earn extra points by referring new users.

  • This article is reproduced with permission from: (Shenchao TechFlow)

“Let AI rate KOLs in the currency circle? Kaito Yap algorithm discriminates: Only by speaking English will you get a higher score." This article was first published in "CryptoCity"

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