Author: Deep Tide TechFlow
Recently, Kaito Yap has frequently appeared on Twitter, becoming a hot topic of discussion and even conflict among many KOLs.
Kaito is an AI-based cryptocurrency data analysis platform that recently launched a product called "Yap to Earn". In simple terms, it allows users to earn points by posting high-quality tweets; users can earn Yap points through posting, interacting, and other means, and many expect these points to potentially convert into project tokens in the future.
More importantly, Kaito has established an AI scoring mechanism for cryptocurrency KOLs, allowing visibility of dynamic rankings of well-known cryptocurrency influencers.
It is important to note that Kaito Yap has two unique mechanisms:
First, maintain mystery; the specific scoring standards and criteria have not been publicly disclosed, and there is no clear scoring guide. This black-box strategy has its advantages.
Maintained the project's mystery, avoided complaints related to score calculations, reduced ineffective disputes, and promoted continuous exploration and innovation among users, thus somewhat preventing targeted score manipulation.
Secondly, everything is AI-led. Kaito's official personnel only provide AI with prompt words, and the AI conducts scoring and filtering.
Perhaps it's "AI Help AI" (just joking), the top spot on the CT Yapper leaderboard has long been occupied by the cryptocurrency research AI AGENT Aixbt, demonstrating content creation capabilities that surpass 99% of human users.
This scoring mechanism has both supporters and detractors; many cryptocurrency KOLs who previously focused on project evaluations are now actively participating in earning points.
However, controversies and doubts have also arisen.
Rectifying the source vs. algorithmic discrimination
The bottom line determines the perspective; from the project's point of view, they prefer products that are popular and pleasing. Essentially, Kaito's product can be considered a B2B marketing service.
Today, KOL marketing has become an essential option for many cryptocurrency projects to conduct marketing; however, KOL quality varies, and traditional metrics like follower count and interaction volume do not accurately reflect KOL value.
The interference of a large number of bots and fake accounts disrupts the information ecosystem, making it difficult for project parties to accurately assess the real influence of KOLs, resulting in uncertain effects of marketing resource investment.
Provide project parties with a set of quantifiable KOL selection criteria, which is a breakthrough attempt in Web3 marketing.
Some support this mechanism, believing that Kaito Yap's emergence not only marks the birth of a points system but also represents a new direction for Web3 social media, where value orientation replaces traffic orientation, and professional creation overcomes fast-food content, helping to identify truly high-quality creators while pressuring the KOL community to improve their professional standards, positively impacting the entire cryptocurrency information dissemination ecosystem.
Meanwhile, Kaito Yap also faces doubts from both KOLs and retail investors.
Deep Tide TechFlow summarized the following categories:
(1) Circle effect: Forming a closed ecosystem monopolized by the "core circle"
Kaito Yap scores lean towards top KOLs, where the core circle supports each other, making it difficult for newcomers to break into the high-score circle. Even if new creators produce high-quality content, it is hard to gain points comparable to major influencers, and more importantly, the "circle interaction". Therefore, Kaito Yap is more of a game for major influencers and is unrelated to ordinary people.
(2) Algorithmic discrimination: questioned for discriminating against non-English content
Feedback from KOLs indicates that, compared to English content, non-English content creators often receive lower scores, and the value of localized content is underestimated.
Additionally, compared to purely amateur accounts, cryptocurrency KOLs with substantial institutional backgrounds receive greater weight.
(3) Data limitations
Currently, relying solely on public Twitter data lacks community interaction data and overlooks the value of private traffic; for example, some KOLs who are very active in Telegram groups perform poorly in Yap scoring.
In response to the criticism regarding the Kaito algorithm's discrimination against Chinese content, Kaito staff stated, "The AI trained with the same set of prompts considers your content unsolid if it is unsolid, it may be wrong but it is fair to everyone. The prompts do not imply any automatic demotion of Chinese content; if you feel the Chinese results are poor, it means the content quality is poor."
Despite some criticisms, in the editor's view, Kaito is exploring a differentiated development path through its points mechanism and community operation strategies in the Web3 social field. It is an active innovation worthy of encouragement; however, as a growing platform, Kaito still faces some issues that need to be contemplated and resolved.
How to expand the user base while maintaining professionalism and providing more opportunities for newcomers
Sustainability of the points mechanism
Continuous cultivation of community atmosphere and user engagement
In the future, with the continuous development of the Web3 social field and AI, the evolutionary direction of emerging platforms like Kaito is worth ongoing attention.
Finally, Deep Tide TechFlow has also summarized a set of strategies for the Kaito Yap points system based on the experiences of some KOLs on Twitter, for reference only.
(1) Principles: Anti-spam content
The official statement clearly indicates a resistance to spam content and score manipulation; repetitive and worthless postings will receive zero points.
In summary, quality is far more important than quantity.
(2) Focus on hot projects
Focus on projects on the Kaito panel:
Kaito;
Berachain;
Monad;
Xion;
Paradadex;
Eclipse;
Note: Simply mentioning these project names will not earn points; the key is to provide valuable analysis and insights.
(3) Interaction quality is paramount
In addition to focusing on content publishing, Kaito places special emphasis on content interaction, particularly interactions with high-quality accounts, such as receiving replies from influential users and genuine likes.
(4) Precise interaction strategy
Suggestions:
Follow and reply to major influencer accounts;
Participate in high-quality thematic discussions;
Engage in conversations under high-interaction posts;
Maintain interaction with leaderboard users;
Balance interaction frequency with content quality;
(5) Cryptocurrency theme orientation
Persist in posting cryptocurrency-related content, reasonably use cryptocurrency keywords, and prioritize discussions on hot projects.
(6) Participation in referral programs
Earn extra points by referring new users.