In the past year, Web3 projects have increasingly approached "growth" as follows:

Spending more and more money to buy shorter and shorter attention.

While most Web3 growth tools remain stuck in the task-driven model of "spend - retweet - airdrop," user growth in practice is often simplified to a rapid scaling process: first, spend money to create exposure, then increase engagement through retweets and task completion, and finally convert with airdrops or points. This method may generate considerable data feedback in the short term, but it essentially revolves around one-time actions, with growth effects heavily reliant on continuous investment, making it difficult to form long-term accumulation.

In contrast, @KaitoAI is not optimizing efficiency within an existing task system but is gradually evolving into a highly structured User Growth Operating System (Growth OS). It does not merely score content or distribute points; instead, it reorganizes user expressions and interactions originally scattered across Twitter (X) into a long-term operational growth system through a comprehensive quantifiable, competitive, and compound attention allocation mechanism.

This article will systematically break down how Kaito's internal mechanisms help projects achieve user growth, and later validate these mechanisms with two quality cases: @Calderaxyz and @berachain.

1. The Essence of Kaito: Not a Marketing Tool, but an "Attention Allocation System"

The first step in understanding Kaito is to step outside the perspective of a "marketing platform." Kaito's true positioning is: an InfoFi system that transforms "attention, content contribution, and user behavior" into computable assets.

In traditional growth models, projects typically focus on three core metrics: exposure, clicks, and conversion rates. There is nothing inherently wrong with this set of metrics, but the implicit premise is that as long as users complete specified actions, the system assumes growth has occurred.

In the Web3 context, this premise often does not hold. Task-based growth mechanisms can only confirm "whether actions occurred," but they struggle to determine why users acted and whether they have a long-term willingness to participate. This leads to growth data being easily amplified by the lowest-cost actions, appearing lively but often showing limited performance in retention and genuine recognition. At the same time, such mechanisms tend to attract efficiency-oriented participants more easily, such as airdrop farmers or bots. To combat witch attacks, projects can only continuously increase task complexity and participation thresholds, resulting in rising growth costs while genuinely valuable users may be kept out by higher barriers.

It is against this backdrop that Kaito has redefined growth metrics. In the Kaito system, the focus is no longer on the immediate data from a single action but rather on the quality of participation that leans more towards long-term and structural aspects. For example, whether the project is repeatedly mentioned in the long-term information flow and forms stable recognition (Mindshare), whether it can continuously reinforce the same core narrative rather than being diluted by fragmented voices (Narrative Control), and whether users are willing to consistently produce content with incremental information around the same project over a longer period (Consistent Contribution).

This also means that Kaito's goal is not to help projects create short-term data spikes but to ensure that projects occupy a stable, accumulative position in the Crypto Twitter long-term information flow.

2. How Kaito's Growth System Operates: Three Core Mechanisms

The first key design of Kaito is Yaps / Yapper Points. Before Kaito, the lifecycle of a high-quality tweet was very short; apart from likes and retweets, it was difficult to create any long-term value. After Kaito, every content output enters the user's long-term contribution record and continues to influence their future earnings through points, rankings, and historical weight. This long-term accounting mechanism directly changes the creators' objective function: they no longer just pursue a "viral tweet" but begin to manage a content identity that can be validated over time.

At the same time, Kaito's algorithm does not treat all interactions equally. The Yap scoring comprehensively assesses whether a piece of content truly brings information increment to the project, examining semantic depth and originality, its relevance to the project narrative, and whether interactions come from genuinely influential crypto users. This step completes a crucial correction at the growth level—prioritizing the quality of traffic over the scale of traffic, thereby systematically compressing the space for botting, farming accounts, and ineffective interactions. Content in Kaito is no longer just a one-time expression but gradually evolves into a growth asset that can be valued over the long term.

If Yaps are responsible for "assetizing" content, then the Yapper Leaderboard is responsible for transforming this asset into a growth engine. Its value lies not in the ranking itself but in guiding user behavior towards long-term, high-quality, and high-consistency directions through continuous competition and clear rules.

Rankings heavily depend on posting continuity, narrative consistency, and long-cycle contribution accumulation, making it difficult for attempts to short-term rank to maintain an advantage over time, while those who truly understand the project and are willing to invest continuously will naturally rise. Meanwhile, Kaito releases the dissemination power from centralized operations to the community through algorithmic weights and incentive designs, allowing positive narratives and in-depth interpretations to be systematically amplified without losing control. Over time, this mechanism will also gradually organize scattered tweets into a recognizable content pool, enabling new users to quickly identify who the core voices are, thus providing a foundation for the continuous accumulation of Mindshare.

Finally, Kaito closes the growth loop through the Yapper Launchpad and Capital Launchpad, with a core logic that is simple: give "those who speak for the project" real weight in resource allocation. Content contributions are transformed into quotas and airdrops through the Leaderboard, ultimately landing on tokens and participation rights, thus turning attention into real benefits and making high-quality users long-term stakeholders.

3. Case Validation: When Kaito is Used as a "Growth System"

Among all of Kaito's successful cases, Caldera and Berachain are highly representative not because of their size or popularity but because they form a highly consistent system coupling between growth goals, content structure, incentive design, and platform mechanisms. This makes Kaito not merely a "traffic amplifier" but embedded within the growth logic of the projects themselves.

The following will break down these two projects from three levels: mechanism adaptation, user behavior shaping, and growth results.

1. Caldera: Filtering and Solidifying High-Quality Users with Kaito in the Pre-TGE Stage

The Caldera case is particularly suitable for understanding: how Kaito helps projects achieve high-quality user growth when the project itself has a complex technical narrative, rather than just simple exposure.

Source: Kaito

Preliminary understanding and utilization of Kaito's algorithm preferences: Before entering the Kaito system, Caldera had already recognized a fact: Kaito's Yap Points and Leaderboard mechanisms do not inherently favor "viral content" but are more likely to reward content with high semantic density, strong narrative consistency, and long-term cumulative value.

Based on this understanding, Caldera did not guide the community to produce "project introduction" or "emotional mobilization" tweets but consciously encouraged the community to create around a series of highly structured topics, such as the architectural principles of Rollup-as-a-Service, its positioning in the modular Rollup ecosystem, and the technical relationships with EigenLayer, DA layer, and execution layer. These topics are not only high in information density but also require creators to have a certain level of understanding, naturally reducing the possibility of spam and simplicity.

From a growth perspective, the core of this step is: actively guiding community creation behavior into the "algorithm-friendly zone," rather than letting users consume enthusiasm through trial and error.

Using the Leaderboard to systematically filter high-investment users: Caldera's use of the Kaito Yapper Leaderboard is not seen as a result display tool but as a user behavior shaping mechanism. During the Pre-TGE stage, Caldera deliberately extended the Leaderboard's operating cycle, making it difficult for any users attempting "short-term arbitrage" to establish a stable position on the leaderboard; conversely, only those willing to continuously output and gradually deepen their understanding over weeks or even months can steadily accumulate advantages.

This creates a clear filtering effect at the user level: low-patience, low-cognition users are naturally eliminated; high-cognition, high-investment users gradually concentrate at the top of the leaderboard. From the perspective of the growth system, Caldera effectively completed a "community quality filtering" using Kaito's Leaderboard, concentrating limited incentive resources on the group most likely to convert into long-term users and ecosystem participants.

Structurally binding content contribution with real usage: Unlike many projects that only stay at the content incentive level, Caldera consciously avoids letting Kaito become a purely "shouting arena." During the Leaderboard's operation, Caldera continuously incorporated Testnet deployments, developer tool usage, and real interactions with ecosystem DApps into the core of community discussions and content creation, binding "participation in products" with "participation in narratives" within the same incentive logic.

These actions do not always directly count towards Yap Points, but they are continuously referenced, analyzed, and reviewed at the content level, forming an implicit scoring mechanism: users who have genuinely used the product are more likely to produce high semantic density content, and this type of content is more likely to be rewarded by the algorithm.

Ultimately, this creates a highly positive feedback loop: using the product → forming understanding → outputting high-quality content → gaining higher weight in Kaito → receiving more resources and attention → further deepening participation. This allowed Caldera to solidify a core user group that both understands the technology and possesses dissemination capabilities before the TGE.

2. Berachain: How to Use Kaito to Maintain Long-Term Mindshare Rather Than One-Time Hype

If Caldera demonstrates Kaito's capabilities in "technical project Pre-TGE growth," then the Berachain case illustrates: how Kaito is used to maintain long-term Mindshare rather than a one-time narrative explosion.

Source: Kaito

Treating Kaito as a long-term narrative infrastructure rather than a short-term activity tool: Berachain views Kaito as a long-term operational narrative infrastructure. From the beginning, the project accepted the natural fluctuations of the leaderboard rather than attempting to create a peak through short-term incentives. This design allowed community content to gradually form a division of labor: some creators focused on in-depth dissection of the PoL (Proof-of-Liquidity) mechanism, some continuously tracked ecological projects and incentive changes, while others translated technical narratives into more disseminable culture and memes. Kaito's algorithm did not enforce a uniform content form but allowed different types of "sustained and relevant" content to gain reasonable positions in the system through long-term weight accumulation.

Leveraging Smart Followers weight to amplify core community structural advantages: Within the Berachain community, there already exists a network of core accounts that are highly interrelated and frequently interact. Kaito's Smart Followers mechanism effectively amplifies this structural advantage. Interactions from core crypto users and high-reputation accounts provide additional weight to the content, continuously pushing Berachain's discussions towards more influential social network layers. Ultimately, this transforms the originally implicit "core community structure" into an algorithmically recognizable and rewardable growth resource. This is also one of the key reasons Berachain can maintain high Mindshare at multiple time points.

Facilitating long-term rather than speculative participation through stable incentive expectations: Berachain does not promise clear material returns at every point but instead conveys a signal to the community through a long-term, predictable Kaito incentive structure: long-term participation in narrative construction is itself systematically recorded and recognized. Under this expectation, users' participation decisions no longer rely on the ROI of a single activity but are closer to a long-term investment behavior. This psychological shift is crucial for building a highly engaged community.

3. The Common Logic Behind the Two Cases

Although Caldera and Berachain differ significantly in stages, narratives, and product forms, they follow highly consistent principles when utilizing Kaito: growth is not about "amplification," but "filtering"; the algorithm is not an adversary but needs to be understood and actively adapted; the core role of incentives is to shape long-term behavior rather than stimulate short-term participation.

4. Mechanism Elevation: "Value Reassessment" and Credibility Shift in 2026

At the beginning of 2026, Kaito officially launched a paradigm-level evolution—transitioning from 'attention distribution' to 'reputation assetization.' The core of this upgrade lies in the system no longer focusing solely on "content generation" but beginning to define "what kind of participation is worthy of long-term valuation."

The most iconic action occurred on January 4, 2026, when Kaito officially announced the upgrade of all leaderboard entry standards. This update restructured the weight logic of influence from the ground up by introducing reputation data and on-chain holdings. This means that in Kaito's ecosystem, the "false prosperity" that solely relies on AI scripts and automated posting has lost its space for survival. The system began to forcibly filter out low-quality activities by combining on-chain metrics with social reputation weights, ensuring that every output's influence has real capital backing. Kaito is shifting from measuring "who is speaking" to measuring "who deserves to be taken seriously."

Complementing the algorithmic reshuffle is the formal implementation of the gKAITO governance mechanism. This mechanism marks Kaito's evolution from a growth tool to a reputation-based governance system. Community members are no longer merely traffic contributors but deeply participate in the quality control of token issuance through a "five-dimensional model" that evaluates thought leadership, engagement, and cultural contributions. Within the gKAITO framework, content production has completed the transition from "traffic behavior" to "reputation asset," with influence officially anchored to governance rights, revenue rights, and investment priority rights.

On the product side, the Kaito Pro UI/UX refresh launched in Q1 2026 provides the efficiency support for this elevation. The optimized interface significantly enhances the processing efficiency of large-scale unstructured data. Project teams are no longer limited to a single dimension of Twitter but can efficiently analyze podcasts, research reports, and other deep information flows. Coupled with the Mindshare heatmap, the competitive battlefield for project teams has officially expanded to the entire cross-platform Web3 information layer, marking Kaito's evolution into an infrastructure that supports "narrative sovereignty."

Behind these updates, three layers of logic are simultaneously migrating. Growth is no longer just about traffic but begins to revolve around reputation and historical contribution accumulation; algorithms no longer only assess content quality but start to verify participants' identities, on-chain behaviors, and reputation structures; and with the launch of Kaito Pro's Mindshare heatmap, what project teams compete for is no longer just exposure on a single platform but cross-platform information and narrative sovereignty.

If Kaito's original mechanisms defined the "skeleton" of this system, then these updates in 2026 provide it with a "financial soul" that can drive capital, governance, and resource allocation.

5. The Growth Logic Behind Kaito

From the perspective of operational methodology, Kaito did not invent a new way of growth out of thin air; it actually embedded a whole set of already validated growth and community operation concepts into its algorithms and rules.

In its underlying design, one can clearly see the shadow of "low marginal cost diffusion" in growth hacking. Yaps and the Leaderboard make users the primary producers of the project's narrative, allowing project teams to no longer incur direct costs for each exposure but to distribute the motivation for dissemination across a large number of spontaneous participants through rule design. Over time, high-quality content and core creators form a network effect, continuously reducing the marginal cost of diffusion.

At the same time, Kaito is also using a long-term behavior incentive mechanism to combat the most common short-termism in Web3. Whether it is the historical weight of Yaps or the Leaderboard's preference for sustained output and narrative consistency, they all tell users: only long-term participation will be remembered by the system. The introduction of gKAITO in 2026 further transforms this behavioral accumulation into governable and dividend-eligible credit assets, aligning "sustained contribution" with "long-term rights" in a truly economic sense for the first time.

In terms of community operation, Kaito embeds a sense of identity and competitive mechanism into the platform structure. The leaderboard, Smart Followers weight, and cross-project historical contribution records allow users to gradually form a stable "content identity" across different communities and compete for positions in a publicly visible competitive environment. This visible identity and ranking are more binding and incentivizing than any artificial badges or role labels.

From the perspective of behavioral psychology, Kaito simultaneously employs variable rewards and immediate visible feedback. Users cannot precisely predict the returns of each piece of content, but they can continuously receive feedback through changes in points, ranking fluctuations, and Launchpad quotas. This unpredictably structured reward system naturally prompts participatory behavior to be triggered repeatedly. After the introduction of on-chain weights and anti-cheating mechanisms to the leaderboard in 2026, this feedback began to be strongly tied to real participation, further reinforcing the positive loop of high-quality behavior.

The real difference lies in the fact that Kaito has not left these concepts at the "operational strategy" level but has written them into the algorithms and systems themselves. gKAITO, on-chain reputation weights, cross-platform Mindshare tracking, and Launchpad distribution mechanisms together form a set of automatically executable growth rules, making "who deserves to be amplified, who deserves to be rewarded" no longer primarily reliant on human judgment but continuously calculated by the system.

It is precisely for this reason that Kaito's growth capability does not depend on how much operational manpower a project or platform invests but increasingly relies on whether this set of rules is correctly designed and continuously maintained.

Conclusion: What is Kaito's True Value?

Kaito's value does not lie in whether it can create the next short-term hype but in its first systematic answer to a long-ignored question in the Web3 context:

Can user attention be structured, quantified, and operated over the long term?

Kaito is not the answer itself but more like a mirror:

When a project can continuously attract and retain high-quality expressers and thinkers under such a mechanism, growth is no longer just a change in numbers but a real accumulation of consensus.

This does not mean that Kaito can replace product strength or the narrative itself. When there are deviations in the project's value delivery, distribution mechanisms, or long-term vision, any amplifier will simultaneously amplify the problems.

But for teams that genuinely wish to build a long-term community and narrative moat, what Kaito offers is not just a tool, but a growth structure that deserves serious study and reuse.

References and Data Sources

1. Kaito Official Platform and Product Description: https://www.kaito.ai
2. Kaito｜Yap FAQs (Official FAQs regarding the project Leaderboard, Yaps, and Launchpad): https://faq.yaps.kaito.ai/
3. Binance Academy｜What is Kaito (KAITO) (Systematic explanation of Kaito, Yaps, Yapper leaderboard, and InfoFi architecture): https://www.binance.com/zh-CN/academy/articles/what-is-kaito
4. CoinGecko｜What Is Kaito and How to Earn Yap Points (Product-level explanation of Yaps, content weight, points, and leaderboard mechanisms): https://www.coingecko.com/learn/what-is-kaito-earn-yap-points
5. CoinMarketCap AI｜KAITO 2026 Roadmap & Token Unlocks (Includes gKAITO, token unlocks, Pro UI updates, and ecological nodes): https://coinmarketcap.com/cmc-ai/kaito/latest-updates
6. Xangle｜Kaito Leaderboard & Anti-Spam Rule Update (Jan 4, 2026) (Source of the quoted "leaderboard threshold increase, on-chain weight, and anti-cheating upgrades"): https://xangle.io/en/insight/events/695afdeeb8a643fd1ac69319
7. Kaito Pre-TGE Project – Caldera (Kaito official ecosystem page for the Caldera project): https://university.mitosis.org/kaito-pre-tge-project-pt3-caldera
8. Caldera Official Twitter (How Caldera and the attention flywheel shape the future of Appchain): https://x.com/Calderaxyz/status/1935457552596193566
9. Berachain Airdrop Overview (Official explanation of airdrop distribution, community, and social contribution weights): https://blog.berachain.com/blog/berachain-airdrop-overview
10. Binance Research｜Berachain Project Overview (Technical architecture, PoL mechanism, and ecological positioning of Berachain): https://www.binance.com/zh-CN/research/projects/berachain
11. BLOCKCHAINAPPFACTORY｜How Projects Increase Mindshare in Kaito (How projects enhance user awareness through Kaito): https://www.blockchainappfactory.com/blog/how-projects-increase-mindshare-in-kaito-leaderboards-yap-points/

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