MOMO AI: An AI-Driven Game Social Platform in Ton and Solana Ecosystems

BeginnerMay 14, 2024
An innovative AI-driven game social growth platform, MOMO AI integrates viral marketing mechanisms and AI-bot interaction technology, focusing on rapid user growth and deep engagement within the Telegram ecosystem.
MOMO AI: An AI-Driven Game Social Platform in Ton and Solana Ecosystems

Regardless of market fluctuations, the quest for Alpha remains a constant truth.

In contrast to the recent volatility and uncertainty in the crypto market, several local hotspots have emerged on-chain:

For instance, the TON ecosystem has been gaining momentum, with TVL (Total Value Locked) increasing by 661% over the past two months. Backed by Telegram, which boasts 900 million users, expectations are high. Additionally, the official Open League has attracted developers and users, and numerous web3 mini-games based on Telegram continue to emerge.

On the other hand, Solana remains a hotbed of activity, with high trading volumes and low transaction fees driving the emergence of new Alpha, making the transition from quantitative to qualitative change an inevitable process.

Simultaneously, AI continues to be a year-round hotspot in the crypto world, with the narrative that AI is making crypto better becoming widely accepted.

So, what should we focus on?

On-chain opportunities often arise from the convergence of multiple hotspots. Finding new seeds at the intersection of these three areas is more likely to yield significant rewards. With this in mind, MOMO AI, which has recently hit multiple hotspots, may be a target that should not be overlooked:

An innovative AI-driven game social growth platform, MOMO AI integrates viral marketing mechanisms and AI-bot interaction technology, focusing on rapid user growth and deep engagement within the Telegram ecosystem.

Their Telegram-based airdrop game, MOMO, surpassed 500,000 users within half a month of its launch, making a remarkable appearance on the active dapp charts. Public information indicates that their project token, $MTOS, is also set to launch in late April or early May.

Why has a mini-game generated such user enthusiasm and rapid growth? What has MOMO AI done right?

Curious, we aim to explore whether this growth momentum can be sustained. After all, experience in the crypto world shows that a single game alone does not have a very high ceiling.

What is the ultimate outcome for a mini-game? How can AI agent technology be used for greater planning and empowerment?

In this issue, we attempt to delve into MOMO AI’s first game, analyzing a remarkable performance in growth and viral spread, and uncovering the ambitions behind building a game growth platform.

Prioritizing Growth: Effective Rapid User Acquisition

What exactly is MOMO AI?

Before answering this question, it is likely that many readers have not heard of this name before. However, this highlights the harsh reality of Web3: no one cares about you before you make it; only when you gain traction do people start to pay attention. Therefore, growth becomes paramount. Web3 is a game of attention economy—how to keep users engaged and quickly increase user base is the cornerstone for evolving and developing the narrative.

When growth becomes the key test for a Web3 project, performing well in this area makes you more memorable. In this regard, MOMO AI has already provided a good answer.

Rapid Growth of the Initial Game

Before the MOMO AI platform token was launched, an airdrop game based on Telegram, called Momo, was introduced. In just 14 days after its launch, the user base exceeded 500,000. The on-chain data remained in the TOP 4 of the Solana Dapp ranking (on-chain interactions on Solana) and climbed to the TOP 20 global Dapps.

Notable Retention Data

In addition to new user growth, retention data is also impressive. According to related statistics, the daily active users (DAU) of Momo’s game reached 200,000, with a 7-day retention rate of 35% and a 14-day retention rate of 25%, which are excellent figures for a Web3 game.

Cold Start, Viral Growth, and Effective Strategies

From these data indicators, Momo has done well in cold start, viral growth, and overall expansion. Why is its growth so effective? We believe the key lies in integrating extremely simple interactions, viral propagation, and reward expectations.

Simplicity and Accessibility: MOMO is embedded in Telegram, and users can start playing by triggering BOT commands. For Telegram users, there is virtually no learning curve—just click and start playing. The core gameplay is easy to understand, resembling a Telegram version of “Farmville” or “Ant Forest”: plant a tree, continuously collect points called Kiwi, and as the tree levels up, the efficiency of producing Kiwi points increases. Eventually, Kiwi points can be exchanged for the native token of the MomoAI project, $MTOS.

Viral Mechanisms: The game’s simplicity and low barrier to entry mean that players do not need to invest a lot of time “playing.” They only need to click periodically to collect points and complete tasks to level up the tree, earning more points in a cycle that ultimately leads to airdrop rewards. The level of the tree determines the rate of Kiwi point production, making tree upgrades crucial. Points for upgrades are primarily obtained through “lucky draws” within the game—players can increase their chances of winning by completing tasks like following, recommending, and sharing, which naturally lead to user growth.

User Incentives: Similar to Pinduoduo’s viral “bargaining” mechanism, the game transforms its growth into a gamified and task-oriented process. Under the expectation of exchanging points for airdrops, users willingly complete tasks, further promoting user acquisition, engagement, and marketing, forming a self-propagating cycle. For players, MOMO becomes a lightweight operational loop: log in, collect points, upgrade, collect more points, and exchange for future token benefits.

From an operational perspective, a single product mechanism can support the operation of three different user tiers.

For zero-cost users who are willing to spend time and effort, design more viral tasks for them to complete. For users who frequently interact on-chain, the production rate of Kiwi points increases after claiming, encouraging their interactive behavior. For investment-type users, they can also purchase in-game items to acquire more resources, thereby directly boosting Kiwi production, which aligns with their approach of calculating the input-output ratio directly.

When all three groups are willing to participate, user growth and retention will naturally be more significant.

However, the project is named MomoAI, so what is the connection between such a game and AI?

The key lies in the introduction of AI agent technology, which elevates the gaming interaction experience to a new level. Whether it’s MOMO or other mini-games on Telegram, they fundamentally rely on simple, fixed commands to exchange for airdrops and points, involving numerous mechanized and procedural steps.

Therefore, games within the TON ecosystem may differ in appearance, but their core mechanics are essentially similar. To stand out in the competition, a small step in interaction could potentially become a significant leap in user acquisition. In MOMO’s game plan, there is a design for later stages that involves using AI bots to interact with the game, allowing for natural language interaction.

Players can directly input certain phrases to the bot to complete the main game loop, such as “Help me collect Kiwi points at 8 AM every day” or “Write a repost copy for today’s task to earn points.” This transforms fixed commands into more user-friendly dialogues.

Of course, this might just be the initial implementation of AI agents, but as AI agents evolve into game assistants, making gameplay more effortless and intelligent, and subsequently influencing the interaction and performance of different roles in the game, the ceiling for Web3 games will be raised even higher.

Thus, MOMO might be the first Telegram game to consider using AI agents, which would increase its chances of standing out in the fiercely competitive game category.

In summary, the combination of viral growth and invitation mechanisms, simple farming gameplay, the explosive potential of the TON ecosystem, Solana’s low transaction fees, and AI expectations form the rapid user acquisition strategy for the pioneering game MOMOAI.

Strike While the Iron is Hot: AI Agent + Social Empowerment Gaming Growth Platform Layout

The MOMO game has experienced effective growth and quickly accumulated a user base, but this does not appear to be the ultimate goal for MomoAI’s future. MomoAI aims to define itself as an “AI-driven social gaming growth platform.” While a single game cannot support this ambition alone, MOMO has proven the effectiveness of its growth strategies, establishing a best practice that can be followed. Moreover, MomoAI has applied its AI agent capabilities to itself, which can be packaged as a general-purpose capability for use by other games in the future.

From a strategic perspective, the growth experience of a single game paves the way for the platform. Developing the MOMO game was akin to growing and tasting one’s own food; the next phase is to strike while the iron is hot, sharing the food with others, thereby forming a true AI agent + social empowerment gaming growth platform. In simpler terms, it’s about opening up capabilities and platformizing the business.

In the Web3 world, it is an established fact that individual applications have low ceilings. Building a platform to promote an ecosystem offers greater narrative potential and favorable expectations. However, the concept of a platform itself is abstract. So, what exactly will MomoAI do?

Based on AI agent technology, MomoAI is prioritizing the development of AI agents suitable for gaming scenarios, aiming to create a digital artificial intelligence system. In games, this technology can enable intelligent dialogue, behavior decision-making, and personalized expression, creating immersive digital characters and worlds.

Once these capabilities are formed, they can be empowered to developers, forming multi-level technical services:

  • Integration Interface Layer: Provides open SDKs and APIs, hiding underlying complexities so that third-party applications can easily load and invoke AI agent capabilities, enabling their games with AI without starting from scratch.
  • Digital Character Generation Layer: Features graphical tools to effectively build personalized characters’ appearances, personalities, backgrounds, and other attributes using natural language, simplifying game development workloads and increasing efficiency.
  • Functional Logic Layer: Handles relationship modeling, memory retention for dynamically evolving characters, and on-chain identity and asset management to provide persistence.
  • Foundational Technology Layer: Supports language content generation through large language models and performs on-chain identity verification via blockchain.

By opening up these technical services through the MomoAI platform, the characters in integrated games can have rich personalities and emotions, as well as native on-chain verifiable identities and asset ownership, providing unprecedented immersive experiences in interactive entertainment.

Beyond technology, MomoAI will also provide various design supports in funding, operations, user growth, exposure, marketing, and project economics to comprehensively assist game projects in growth and innovation in terms of traffic, product/tokens, and AI technology.

Such a platform role positions MomoAI as a growth engine driving the entire industry, encapsulating key dynamics within the engine. Ready-to-use, it enables different “vehicles” to run faster.

Currently, MomoAI’s platform development is progressing from version 1.0 to 2.0.

Before transitioning to 2.0, MomoAI has been using a game publishing platform to accumulate resources, effectively solving the issue of “who to sell their capabilities to.”

Due to the game publishing platform’s channel-focused nature, MomoAI has been able to connect with a greater number of Web3 game developers. According to its official website, MomoAI’s Play-verse game publishing platform has already onboarded 25 Web3 games, including major titles such as DeFi Kingdom and Big Time, with a continuous influx of applications. These developers and projects

will become strong partners for MomoAI 2.0. Under the unified model of open AI agent capabilities, MomoAI can handle various tasks such as technical empowerment, publishing, and marketing, thus forming a comprehensive game matrix.

Under this platform strategy, MomoAI’s native token, $MTOS, is no longer merely an airdropped reward in individual games but becomes a crucial link within the ecosystem covering both players and developers. For players, the MTOS token becomes a tradable currency within the platform, allowing participation in various sub-games within the ecosystem. Players can use MTOS to acquire assets across different 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 facilitate effective user acquisition strategies within the platform’s ecosystem.

By connecting both the B-end (developers) and C-end (players) with MTOS, the token can capture more value from the entire platform ecosystem. This also indirectly promotes the token’s consumption, which may positively impact its price. According to official sources, MomoAI plans to launch the token’s TGE (Token Generation Event) by the end of April, and its market performance is worth monitoring.

Recent Catalyst: Node Sale

For players who are optimistic about Momo AI but whose tokens have not yet undergone a TGE (Token Generation Event), what other opportunities are there to participate?

On April 18, the project initiated the public sale of an important asset within the MomoAI ecosystem - the MomoAI Node. As of the time of writing, the total sales amount of Nodes has reached 2 million USD, with over 10,000 units sold, highlighting the market’s interest in this asset.

In the short term, considering MOMO, the game based on Telegram, the role of the NODE is very clear: it can significantly enhance resource generation efficiency within the game.

Players who own a NODE can increase their daily lucky draw chances, thereby earning more Points faster to upgrade their trees, which in turn increases Kiwi production. Additionally, NODE holders can share a portion of the total Kiwi production from all players in the game, equating to an additional “passive income” besides their own tree revenue.

Looking beyond the game, NODE functions more like a long-term mining machine, capable of deriving value from multiple aspects within the MomoAI ecosystem. For example, in terms of MTOS tokens, NODE holders can collectively share 30% of the total MTOS token revenue, similar to a continuously profiting “golden shovel” NFT.

Moreover, in future ecosystem games, NODE holders will have the priority to play and the first opportunity to receive various potential airdrops.

From the perspective of AI narrative, since the ultimate goal of MomoAI is the platformization of AI agent capabilities, holding a NODE is akin to being a shareholder of this platform. As more project parties utilize AI agent capabilities, holders will have a clear profit-sharing expectation.

Based on the current information, NODE operates as a cloud service, hosted by top global cloud providers and MomoAI’s own data centers. After deployment, users will receive proof of NFT ownership.

The nodes are fully managed by MomoAI. Holders only need to activate them periodically to maintain normal operation. There is no need for specific equipment or network support; purchasing the NODE grants the rights associated with the NFT.

For players interested in NODE, more details can be found here.

Conclusion

Growth is an eternal theme for Web3 projects, and game-related projects are temporarily absent in the current cycle.

The emergence of MomoAI, with its own game, demonstrates the effectiveness of its growth model and aims to drive further development in the gaming sector through its game growth platform. When technologies like AI agents seek to enhance the crypto space, improvements in the gaming experience might be the most perceivable aspect for users. Beyond the hype, this also presents a significant non-consensus opportunity.

Sometimes, new opportunities do not necessarily require new entrants. Veterans who have been immersed in the industry for a long time and understand the pain points of projects and users are more likely to make successful inroads.

MomoAI’s predecessor, MetaOasis, had substantial involvement in the construction of the metaverse, AI, and gaming ecosystems. The current rebranding to MomoAI is not merely a marketing ploy but a strategic shift aligned with its capabilities and the industry’s needs. The correct approach is to start with one’s own products, experiment, and then broadly empower the industry.

In the crypto world, new directions and narratives emerge daily. Projects that choose the right path during transitions, have precise positioning, and possess strong capabilities will always be the alpha worth watching.

Disclaimer:

  1. This article is reprinted from [TechFlow]. All copyrights belong to the original author [TechFlow]. If there are objections to this reprint, please contact the Gate Learn team, and they will handle it promptly.
  2. Liability Disclaimer: The views and opinions expressed in this article are solely those of the author and do not constitute any investment advice.
  3. Translations of the article into other languages are done by the Gate Learn team. Unless mentioned, copying, distributing, or plagiarizing the translated articles is prohibited.

MOMO AI: An AI-Driven Game Social Platform in Ton and Solana Ecosystems

BeginnerMay 14, 2024
An innovative AI-driven game social growth platform, MOMO AI integrates viral marketing mechanisms and AI-bot interaction technology, focusing on rapid user growth and deep engagement within the Telegram ecosystem.
MOMO AI: An AI-Driven Game Social Platform in Ton and Solana Ecosystems

Regardless of market fluctuations, the quest for Alpha remains a constant truth.

In contrast to the recent volatility and uncertainty in the crypto market, several local hotspots have emerged on-chain:

For instance, the TON ecosystem has been gaining momentum, with TVL (Total Value Locked) increasing by 661% over the past two months. Backed by Telegram, which boasts 900 million users, expectations are high. Additionally, the official Open League has attracted developers and users, and numerous web3 mini-games based on Telegram continue to emerge.

On the other hand, Solana remains a hotbed of activity, with high trading volumes and low transaction fees driving the emergence of new Alpha, making the transition from quantitative to qualitative change an inevitable process.

Simultaneously, AI continues to be a year-round hotspot in the crypto world, with the narrative that AI is making crypto better becoming widely accepted.

So, what should we focus on?

On-chain opportunities often arise from the convergence of multiple hotspots. Finding new seeds at the intersection of these three areas is more likely to yield significant rewards. With this in mind, MOMO AI, which has recently hit multiple hotspots, may be a target that should not be overlooked:

An innovative AI-driven game social growth platform, MOMO AI integrates viral marketing mechanisms and AI-bot interaction technology, focusing on rapid user growth and deep engagement within the Telegram ecosystem.

Their Telegram-based airdrop game, MOMO, surpassed 500,000 users within half a month of its launch, making a remarkable appearance on the active dapp charts. Public information indicates that their project token, $MTOS, is also set to launch in late April or early May.

Why has a mini-game generated such user enthusiasm and rapid growth? What has MOMO AI done right?

Curious, we aim to explore whether this growth momentum can be sustained. After all, experience in the crypto world shows that a single game alone does not have a very high ceiling.

What is the ultimate outcome for a mini-game? How can AI agent technology be used for greater planning and empowerment?

In this issue, we attempt to delve into MOMO AI’s first game, analyzing a remarkable performance in growth and viral spread, and uncovering the ambitions behind building a game growth platform.

Prioritizing Growth: Effective Rapid User Acquisition

What exactly is MOMO AI?

Before answering this question, it is likely that many readers have not heard of this name before. However, this highlights the harsh reality of Web3: no one cares about you before you make it; only when you gain traction do people start to pay attention. Therefore, growth becomes paramount. Web3 is a game of attention economy—how to keep users engaged and quickly increase user base is the cornerstone for evolving and developing the narrative.

When growth becomes the key test for a Web3 project, performing well in this area makes you more memorable. In this regard, MOMO AI has already provided a good answer.

Rapid Growth of the Initial Game

Before the MOMO AI platform token was launched, an airdrop game based on Telegram, called Momo, was introduced. In just 14 days after its launch, the user base exceeded 500,000. The on-chain data remained in the TOP 4 of the Solana Dapp ranking (on-chain interactions on Solana) and climbed to the TOP 20 global Dapps.

Notable Retention Data

In addition to new user growth, retention data is also impressive. According to related statistics, the daily active users (DAU) of Momo’s game reached 200,000, with a 7-day retention rate of 35% and a 14-day retention rate of 25%, which are excellent figures for a Web3 game.

Cold Start, Viral Growth, and Effective Strategies

From these data indicators, Momo has done well in cold start, viral growth, and overall expansion. Why is its growth so effective? We believe the key lies in integrating extremely simple interactions, viral propagation, and reward expectations.

Simplicity and Accessibility: MOMO is embedded in Telegram, and users can start playing by triggering BOT commands. For Telegram users, there is virtually no learning curve—just click and start playing. The core gameplay is easy to understand, resembling a Telegram version of “Farmville” or “Ant Forest”: plant a tree, continuously collect points called Kiwi, and as the tree levels up, the efficiency of producing Kiwi points increases. Eventually, Kiwi points can be exchanged for the native token of the MomoAI project, $MTOS.

Viral Mechanisms: The game’s simplicity and low barrier to entry mean that players do not need to invest a lot of time “playing.” They only need to click periodically to collect points and complete tasks to level up the tree, earning more points in a cycle that ultimately leads to airdrop rewards. The level of the tree determines the rate of Kiwi point production, making tree upgrades crucial. Points for upgrades are primarily obtained through “lucky draws” within the game—players can increase their chances of winning by completing tasks like following, recommending, and sharing, which naturally lead to user growth.

User Incentives: Similar to Pinduoduo’s viral “bargaining” mechanism, the game transforms its growth into a gamified and task-oriented process. Under the expectation of exchanging points for airdrops, users willingly complete tasks, further promoting user acquisition, engagement, and marketing, forming a self-propagating cycle. For players, MOMO becomes a lightweight operational loop: log in, collect points, upgrade, collect more points, and exchange for future token benefits.

From an operational perspective, a single product mechanism can support the operation of three different user tiers.

For zero-cost users who are willing to spend time and effort, design more viral tasks for them to complete. For users who frequently interact on-chain, the production rate of Kiwi points increases after claiming, encouraging their interactive behavior. For investment-type users, they can also purchase in-game items to acquire more resources, thereby directly boosting Kiwi production, which aligns with their approach of calculating the input-output ratio directly.

When all three groups are willing to participate, user growth and retention will naturally be more significant.

However, the project is named MomoAI, so what is the connection between such a game and AI?

The key lies in the introduction of AI agent technology, which elevates the gaming interaction experience to a new level. Whether it’s MOMO or other mini-games on Telegram, they fundamentally rely on simple, fixed commands to exchange for airdrops and points, involving numerous mechanized and procedural steps.

Therefore, games within the TON ecosystem may differ in appearance, but their core mechanics are essentially similar. To stand out in the competition, a small step in interaction could potentially become a significant leap in user acquisition. In MOMO’s game plan, there is a design for later stages that involves using AI bots to interact with the game, allowing for natural language interaction.

Players can directly input certain phrases to the bot to complete the main game loop, such as “Help me collect Kiwi points at 8 AM every day” or “Write a repost copy for today’s task to earn points.” This transforms fixed commands into more user-friendly dialogues.

Of course, this might just be the initial implementation of AI agents, but as AI agents evolve into game assistants, making gameplay more effortless and intelligent, and subsequently influencing the interaction and performance of different roles in the game, the ceiling for Web3 games will be raised even higher.

Thus, MOMO might be the first Telegram game to consider using AI agents, which would increase its chances of standing out in the fiercely competitive game category.

In summary, the combination of viral growth and invitation mechanisms, simple farming gameplay, the explosive potential of the TON ecosystem, Solana’s low transaction fees, and AI expectations form the rapid user acquisition strategy for the pioneering game MOMOAI.

Strike While the Iron is Hot: AI Agent + Social Empowerment Gaming Growth Platform Layout

The MOMO game has experienced effective growth and quickly accumulated a user base, but this does not appear to be the ultimate goal for MomoAI’s future. MomoAI aims to define itself as an “AI-driven social gaming growth platform.” While a single game cannot support this ambition alone, MOMO has proven the effectiveness of its growth strategies, establishing a best practice that can be followed. Moreover, MomoAI has applied its AI agent capabilities to itself, which can be packaged as a general-purpose capability for use by other games in the future.

From a strategic perspective, the growth experience of a single game paves the way for the platform. Developing the MOMO game was akin to growing and tasting one’s own food; the next phase is to strike while the iron is hot, sharing the food with others, thereby forming a true AI agent + social empowerment gaming growth platform. In simpler terms, it’s about opening up capabilities and platformizing the business.

In the Web3 world, it is an established fact that individual applications have low ceilings. Building a platform to promote an ecosystem offers greater narrative potential and favorable expectations. However, the concept of a platform itself is abstract. So, what exactly will MomoAI do?

Based on AI agent technology, MomoAI is prioritizing the development of AI agents suitable for gaming scenarios, aiming to create a digital artificial intelligence system. In games, this technology can enable intelligent dialogue, behavior decision-making, and personalized expression, creating immersive digital characters and worlds.

Once these capabilities are formed, they can be empowered to developers, forming multi-level technical services:

  • Integration Interface Layer: Provides open SDKs and APIs, hiding underlying complexities so that third-party applications can easily load and invoke AI agent capabilities, enabling their games with AI without starting from scratch.
  • Digital Character Generation Layer: Features graphical tools to effectively build personalized characters’ appearances, personalities, backgrounds, and other attributes using natural language, simplifying game development workloads and increasing efficiency.
  • Functional Logic Layer: Handles relationship modeling, memory retention for dynamically evolving characters, and on-chain identity and asset management to provide persistence.
  • Foundational Technology Layer: Supports language content generation through large language models and performs on-chain identity verification via blockchain.

By opening up these technical services through the MomoAI platform, the characters in integrated games can have rich personalities and emotions, as well as native on-chain verifiable identities and asset ownership, providing unprecedented immersive experiences in interactive entertainment.

Beyond technology, MomoAI will also provide various design supports in funding, operations, user growth, exposure, marketing, and project economics to comprehensively assist game projects in growth and innovation in terms of traffic, product/tokens, and AI technology.

Such a platform role positions MomoAI as a growth engine driving the entire industry, encapsulating key dynamics within the engine. Ready-to-use, it enables different “vehicles” to run faster.

Currently, MomoAI’s platform development is progressing from version 1.0 to 2.0.

Before transitioning to 2.0, MomoAI has been using a game publishing platform to accumulate resources, effectively solving the issue of “who to sell their capabilities to.”

Due to the game publishing platform’s channel-focused nature, MomoAI has been able to connect with a greater number of Web3 game developers. According to its official website, MomoAI’s Play-verse game publishing platform has already onboarded 25 Web3 games, including major titles such as DeFi Kingdom and Big Time, with a continuous influx of applications. These developers and projects

will become strong partners for MomoAI 2.0. Under the unified model of open AI agent capabilities, MomoAI can handle various tasks such as technical empowerment, publishing, and marketing, thus forming a comprehensive game matrix.

Under this platform strategy, MomoAI’s native token, $MTOS, is no longer merely an airdropped reward in individual games but becomes a crucial link within the ecosystem covering both players and developers. For players, the MTOS token becomes a tradable currency within the platform, allowing participation in various sub-games within the ecosystem. Players can use MTOS to acquire assets across different 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 facilitate effective user acquisition strategies within the platform’s ecosystem.

By connecting both the B-end (developers) and C-end (players) with MTOS, the token can capture more value from the entire platform ecosystem. This also indirectly promotes the token’s consumption, which may positively impact its price. According to official sources, MomoAI plans to launch the token’s TGE (Token Generation Event) by the end of April, and its market performance is worth monitoring.

Recent Catalyst: Node Sale

For players who are optimistic about Momo AI but whose tokens have not yet undergone a TGE (Token Generation Event), what other opportunities are there to participate?

On April 18, the project initiated the public sale of an important asset within the MomoAI ecosystem - the MomoAI Node. As of the time of writing, the total sales amount of Nodes has reached 2 million USD, with over 10,000 units sold, highlighting the market’s interest in this asset.

In the short term, considering MOMO, the game based on Telegram, the role of the NODE is very clear: it can significantly enhance resource generation efficiency within the game.

Players who own a NODE can increase their daily lucky draw chances, thereby earning more Points faster to upgrade their trees, which in turn increases Kiwi production. Additionally, NODE holders can share a portion of the total Kiwi production from all players in the game, equating to an additional “passive income” besides their own tree revenue.

Looking beyond the game, NODE functions more like a long-term mining machine, capable of deriving value from multiple aspects within the MomoAI ecosystem. For example, in terms of MTOS tokens, NODE holders can collectively share 30% of the total MTOS token revenue, similar to a continuously profiting “golden shovel” NFT.

Moreover, in future ecosystem games, NODE holders will have the priority to play and the first opportunity to receive various potential airdrops.

From the perspective of AI narrative, since the ultimate goal of MomoAI is the platformization of AI agent capabilities, holding a NODE is akin to being a shareholder of this platform. As more project parties utilize AI agent capabilities, holders will have a clear profit-sharing expectation.

Based on the current information, NODE operates as a cloud service, hosted by top global cloud providers and MomoAI’s own data centers. After deployment, users will receive proof of NFT ownership.

The nodes are fully managed by MomoAI. Holders only need to activate them periodically to maintain normal operation. There is no need for specific equipment or network support; purchasing the NODE grants the rights associated with the NFT.

For players interested in NODE, more details can be found here.

Conclusion

Growth is an eternal theme for Web3 projects, and game-related projects are temporarily absent in the current cycle.

The emergence of MomoAI, with its own game, demonstrates the effectiveness of its growth model and aims to drive further development in the gaming sector through its game growth platform. When technologies like AI agents seek to enhance the crypto space, improvements in the gaming experience might be the most perceivable aspect for users. Beyond the hype, this also presents a significant non-consensus opportunity.

Sometimes, new opportunities do not necessarily require new entrants. Veterans who have been immersed in the industry for a long time and understand the pain points of projects and users are more likely to make successful inroads.

MomoAI’s predecessor, MetaOasis, had substantial involvement in the construction of the metaverse, AI, and gaming ecosystems. The current rebranding to MomoAI is not merely a marketing ploy but a strategic shift aligned with its capabilities and the industry’s needs. The correct approach is to start with one’s own products, experiment, and then broadly empower the industry.

In the crypto world, new directions and narratives emerge daily. Projects that choose the right path during transitions, have precise positioning, and possess strong capabilities will always be the alpha worth watching.

Disclaimer:

  1. This article is reprinted from [TechFlow]. All copyrights belong to the original author [TechFlow]. If there are objections to this reprint, please contact the Gate Learn team, and they will handle it promptly.
  2. Liability Disclaimer: The views and opinions expressed in this article are solely those of the author and do not constitute any investment advice.
  3. Translations of the article into other languages are done by the Gate Learn team. Unless mentioned, copying, distributing, or plagiarizing the translated articles is prohibited.
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