🌟Recently, I rarely scroll through X, because the page is filled with monotonous "score content". During the limited time I have to open Twitter, more and more people are attacking @KaitoAI, and everyone seems to be joining the new lineup @Cookiedotfun

————————————⚠️⚠️⚠️⚠️——————————————

If Kaito's original intention was to enhance info to improve the quality of link content and economic efficiency, then its current direction seems to be gradually going off course.

Content is becoming increasingly "shallow" because, in order to gain points, people have started creating the easiest "template emotions" that can be captured by algorithms. In this process, objectivity and authenticity are sacrificed, and the algorithm guides KOL statements towards uniformity, increasingly resembling a bid to please the platform rather than serve the readers. 🤖

————————————🆚🆚🆚🆚——————————————

We compared @Cookiedotfun, which seems to offer a different starting point.

First, the conclusion: 1. Kaito's business design is better, as the team has basically captured all profitable aspects. From the project's need to spend hundreds of thousands to find KOLs for activities on Kaito, to the subsequent long-term economic content cycles of KOLs, and finally to the product's subscription monetization, the entire path has been running smoothly.

2. Cookie's product is more solid, serving as a platform for anyone to check the objective sentiment index of projects.

If Kaito is a product for projects and KOLs, then Cookie is an infoFi product for a broader audience. It pulls together social heat, KOL movements, on-chain behavior, and interaction data, attempting to create a comprehensive assessment. It doesn't seem to be about "prompting people to boost their presence," but rather aims to make some quantitative signals more valuable as references.

Its positioning is essentially a comprehensive panel for retail investors and market participants, naturally leaning towards objectivity and reliability compared to the mechanism of writing content "for the scoring system." At least for now, its data structure appears to be cooler and more aggregated. 🎯

Of course, the Snap point system may also incentivize the issue of "content templating" in the future; under profit-driven motives, whether artificial info (like tweets) can maintain sufficient fairness and objectivity is an eternal challenge. ♾️

But ultimately, where Kaito and Cookie's two products will end up still depends on what essential problems they are actually solving 🔍 (this article does not consider the secondary market premise).

————————————🤔😕 Whose algorithm is better 🧠 ——————————————

I don't consider myself a KOL, and my follower count sample is not large enough.

However, just from the panels of Kaito and Cookie, the data collection of Cookie indeed appears to be more comprehensive.