Interpretation of MOMO AI: A game social growth platform driven by AI, based on the Ton and Solana ecosystems

Written by: Deep Tide TechFlow
No matter how the market changes, the search for Alpha remains an unchanging truth.
In contrast to the recent turbulent and unclear trends in the crypto market, several local hotspots have emerged on-chain:
For example, the TON ecosystem is gradually rising, with a TVL increase of 661% over the past two months, backed by Telegram, which boasts 900 million users; at the same time, the official Open League has attracted developers and users, leading to a surge of Web3 mini-games based on Telegram.
On the other hand, Solana continues to be hot, with active trading volumes and low fees making it inevitable for Solana to generate new Alpha as a process of quantitative to qualitative change.
Meanwhile, AI remains a hot topic throughout the crypto world this year, and the narrative that AI helps crypto become better has become a consensus.
So what should we pay attention to?
On-chain opportunities often arise from the overlap of multiple hotspots, making it easier to find new seeds in the intersection of three.
With this mindset, MomoAI, which has recently hit multiple hotspots, may be a target that cannot be ignored.

MomoAI: An innovative AI-driven game social growth platform that integrates viral dissemination mechanisms and AI-bot interaction technology, focusing on achieving rapid user growth and deep engagement within the Telegram ecosystem.
Its Telegram-based points airdrop game MOMO has been online for half a month, with user numbers exceeding 500,000, making a strong showing on the active dapp leaderboard. Public information indicates that its project token $MTOS will soon be listed at the end of April or early May.
What makes a mini-game spark such user enthusiasm and growth speed? What has MOMO AI done right?

Out of curiosity, we want to see if this growth momentum can be sustained, as experience in the crypto world shows that simply creating a game does not have a high ceiling.
What will be the ultimate outcome of a mini-game? How can AI proxy technology be utilized for larger layouts and empowerment?
In this issue, we attempt to analyze the growth and fission of MOMO AI's first game, revealing the ambition behind creating a game growth platform.
Growth first, an effective way to quickly acquire customers
What exactly is MOMO AI?
Before answering this question, many readers may not have heard of this name before.
But this is precisely the reality and harshness of Web3: Before you succeed, no one cares what you are; once you succeed, people care only if you are hot.
Thus, growth becomes paramount. Web3 is a game of attention economy; how to lock users into the product and quickly bring in user increments is the foundation for all narrative evolution and development.
When growth becomes the key exam question for Web3 projects, answering it well makes it easier to be remembered.
From this perspective, MOMO AI has already delivered a good answer:
First is the rapid growth of the initial game. Before the launch of the MomoAI platform token, a Telegram-based airdrop game—Momo—was launched. Within just 14 days, the user base has surpassed 500,000, and its on-chain data popularity ranks in the TOP 4 of Solana Dapps (on-chain interactions on Solana), jumping into the global Dapp TOP 20.

In addition to new user growth, retention data is also impressive.
Relevant data shows that Momo's daily active users have reached 200,000, with a 7-day retention rate of 35% and a 14-day retention rate of 25%, which is already quite outstanding for a Web3 game.
Cold starts, fission, and growth—based on data metrics, Momo has performed well. Why is its growth effective?
We believe the key reason lies in integrating extremely simple interactions, viral fission, and reward expectations.
First, MOMO is a game embedded in Telegram, triggered by BOT commands to enter the game. For Telegram users, the onboarding process has virtually no learning cost; they can start playing with just a click.
The core gameplay is very easy to understand; you can roughly think of it as a Telegram version of "Harvesting" or "Ant Forest":
Plant a tree, continuously collect points called Kiwi, and as the tree's cultivation level increases, the efficiency of producing Kiwi points improves; ultimately, you can exchange Kiwi points for the native token $MTOS of the MomoAI project.

From the core gameplay perspective, the first key feature is: extremely simple interaction, very low threshold. There is no need for heavy time investment in "playing"; you only need to click "Harvest" to collect points periodically, while completing tasks to upgrade the tree and earn more points, creating a cycle that ultimately leads to airdrops.
Since the tree's level determines the speed of Kiwi point production, the resources for upgrading the tree, Points, become the key leverage for fission and viral dissemination:
Points are mainly obtained through the game's "lucky draw"—to increase the number of draws and winning chances, users need to complete a series of tasks that easily generate user fission, such as following, recommending, and sharing.

This is very similar to Pinduoduo's "cut a slice" dissemination mechanism, transferring the game's growth to the user side, gamifying and tasking it. Under the expectation of exchanging points for airdrops, users actively complete tasks, indirectly further promoting new user acquisition, activation, and marketing, creating a self-propagating cycle.
Thus, for players, the MOMO game becomes a very lightweight operational loop: log in, harvest, upgrade, collect more, and then exchange for future token benefits.
What is the advantage of such product design for the growth of Web3 projects?
At the demand level, Web3 users play MOMO with a very direct purpose, where economic expectations outweigh gaming entertainment.
MOMO's design directly hits the key purpose of players—no detours, no hurdles, straightforwardly rewarding more contributions with more points and airdrops. Meanwhile, during the marketing tasks, thanks to sharing and inviting, the game itself quickly fissions to form growth.
At the experience level, MOMO becomes a light entertainment option within Telegram's social interactions, with simple interactions leading to profit expectations, allowing players to form a "habit of tasting sweetness without much investment, and recommending to others is more beneficial for themselves," thus finding a unique ecological niche for Web3 games.
At the operational level, a single product mechanism can support the operation of three different user tiers.
For zero-investment users, design more fission tasks for them to complete; for users with frequent on-chain interactions, after claiming Kiwi points, their output increases, encouraging their interaction behavior; for investment-type users, they can also purchase in-game items to acquire more resources to directly boost Kiwi production, satisfying their direct calculation of input-output ratios.
When all three groups are willing to join, user growth and retention will naturally be more significant.
However, the project is named MomoAI; where is the connection between such a game and AI?

The answer lies in the introduction of AI proxy technology, which elevates the gaming interaction experience to a new level.
Whether it's MOMO or other mini-games on Telegram, they essentially exchange airdrops and points through simple fixed commands, which involve a lot of mechanized and procedural steps;
thus, while the outer skins of games in the TON ecosystem vary, their cores are fundamentally similar. To stand out in competition, a small step in interaction could become a giant leap in user acquisition.
In MOMO's game planning, there are designs for later use of AI-BOT to interact with the game, allowing for natural language interactions within the game.
Players can directly input certain phrases to complete the main game loop, such as "help me collect Kiwi points at 8 AM every day," or "help me write a forwarding copy to complete today's task to earn points," converting fixed commands into more user-friendly dialogues.
Of course, this may just be a basic implementation of AI proxies, but when AI proxies evolve into game assistants, making game operations easier and smarter, and subsequently influencing the interactions and performances of different roles in the game, the ceiling for Web3 games will be even higher.
Therefore, the MOMO game may be the first Telegram game to consider using AI proxies, which will increase its chances of standing out in the fierce competition of game categories.
In summary, the combination of viral fission and dissemination invitation mechanisms + simple harvesting gameplay + TON ecosystem explosion + low fees on Solana + AI expectations has formed a rapid customer acquisition path for the MOMOAI leading game.
Strike while the iron is hot, AI proxies + social empowerment for game growth platform layout
The MOMO game has effectively and rapidly accumulated users, but this does not seem to be the ultimate goal of MomoAI.
MomoAI defines itself more as an "AI-driven game social growth platform," as a single game is clearly insufficient to support it. However, MOMO itself has proven the effectiveness of its growth gameplay, forming a traceable best practice; at the same time, it has applied AI proxy capabilities to itself, which can later be packaged as a general capability for more games to use.
Therefore, strategically speaking, the growth experience of a single game is more significant in paving the way for the platform.
If making the MOMO game is like the stage of growing food and tasting it yourself; then the next stage is more like a natural progression to share the food with others, forming a true AI proxy + social empowerment game growth platform.
In simpler terms, it is about opening up capabilities and platforming the business.
The low ceiling of individual applications in Web3 has been proven to be an undeniable fact; creating a platform to promote the ecosystem allows for greater narrative space and favorable expectations.
However, the concept of a platform itself is relatively abstract; what specifically will MomoAI do?

Based on AI proxy technology, MomoAI is prioritizing the development of AI proxies that can adapt to gaming scenarios to form a digital artificial intelligence system. When applied in games, it can achieve intelligent dialogue, behavioral decision-making, and personality expression, creating immersive digital characters and worlds.
Once capabilities are formed, they can be empowered to developers to create multi-layered technical services:

• Integration Interface Layer: Provides open SDKs and APIs, hiding underlying complexities so that third-party applications can easily load and call AI proxy capabilities, enabling their games to possess AI capabilities without starting from scratch.
• Digital Character Generation Layer: Equipped with graphical tools to effectively build personalized character appearances, personalities, backgrounds, and other attributes using natural language, simplifying the workload of game project development and improving efficiency.
• Functional Logic Layer: Handles relationship modeling, memory retention for dynamic character evolution; as well as on-chain identity and asset management for persistence.
• Basic Technology Layer: Supports language content generation through large language models and on-chain identity verification via blockchain.

After the different layers of technical services are opened through the MomoAI platform, characters in the integrated games can possess rich personalities and emotions, as well as on-chain native verifiable identities and asset ownership, providing an unprecedented immersive experience for interactive entertainment.
In addition to technology, MomoAI will also provide various designs for projects in terms of funding, operations, user growth, exposure, marketing, and project economics, to comprehensively support the growth and innovation of game projects in terms of traffic, products/tokens, and AI technology.
Such a platform role resembles a game growth engine driving the entire industry, with key momentum encapsulated in the engine, allowing different vehicles to run faster.
Currently, MomoAI's platform construction is evolving from 1.0 to 2.0.
Before officially entering 2.0, MomoAI is accumulating resources in the form of a game publishing platform, effectively solving the "who to sell capabilities to" problem.
As game publishing is more channel-oriented, MomoAI can also connect with more Web3 game developers. On MomoAI's Play-verse game publishing platform, the official website shows that 25 Web3 games have already settled in, including major titles like DeFi Kingdom and Big Time, with application demands continuing to increase.
These developers and projects will become strong partners for MomoAI 2.0. Under the same model of opening AI proxy capabilities, MomoAI can undertake tasks in multiple aspects such as technical empowerment, publishing, and marketing, thus forming a complete game matrix.

Therefore, under the platform strategy, MomoAI's native token $MTOS is no longer just a pure reward airdropped within a single game, but rather becomes a link within the ecosystem of players and developers that the platform can cover.
For players, the MTOS token becomes a circulating currency within the platform, the main token for participating in different sub-games of the ecosystem. Players can use MTOS to acquire various assets in cross-platform products.
For developers, MTOS can be used to purchase AI customization and data analysis services provided by the MomoAI platform. Additionally, developers can use MTOS to buy advertising space, host events, and promote effective user acquisition strategies within the platform ecosystem.
When both the B-side and C-side are connected by MTOS, the token can actually capture more value within the entire platform ecosystem, indirectly promoting token consumption, which also has a certain positive effect on the token price itself.
Growth is an eternal proposition for Web3 projects, and game-related projects are currently in a brief absence.
MomoAI emerges, validating the effectiveness of the growth model with its own game, and attempts to drive further development of the entire gaming track through the planning of a game growth platform.
When technologies like AI proxies aim to make crypto better, the enhancement of gaming experiences may be the most easily perceived improvement by users; beyond the hot narratives, there are actually highly non-consensus opportunities here.
Sometimes, new opportunities do not necessarily require new entrants; veterans who have immersed themselves in the industry for a long time and understand project and user pain points may find it easier to cut in.
MomoAI's predecessor, MetaOasis, has ample experience in building the metaverse, AI, and gaming ecosystems; at this stage, its brand has transformed into MomoAI, and this change is not merely a marketing heat consideration, but more a strategic direction that aligns with its capabilities.
Having the ability to do so, starting from its own product to try, and then expanding to empower the industry is a correct and appropriate path of thought and execution.
In the crypto world, new directions and narratives emerge every day; those projects that choose the right path, position accurately, and possess strength during the transition between the old and new will always be the Alphas worth paying attention to.