Monad Madness Hong Kong winners revealed, a quick overview of the 5 winning projects

Yesterday, the latest Monad ecosystem project roadshow competition Monad Madness Hong Kong announced the list of winners. The five winning projects are Ammo, GM Network, TypeXKeyboard, Morpheus Farm, and Likwid.

Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目

Yesterday, the latest Monad Ecosystem Project Roadshow Competition Monad Madness Hong Kong The list of winners was announced, and the five winning projects are Ammo, GM Network, TypeXKeyboard, Morpheus Farm, and Likwid.

The winning projects this time focus on AI, DePin, and DeFi sectors. Coderworld, the novice navigation app, will take you through a quick overview of the project details.

Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目

🥇First place:Ammo – Multi-AI agent collaboration infrastructure

The full name of the Ammo project is "Architectures for Massively Multiagent Online". Although the name sounds very academic, the problems that the project intends to solve are actually closely related to users. The core of Ammo is an innovative multi-agent system. Unlike traditional single AI assistants, the "User Buddy" equipped by AMMO for each user can continue to evolve in a complex network of intelligent agents. These AI assistants do not operate independently, but learn, compete and collaborate with each other in a huge network. Simply put, it is to make AI truly understand and serve human needs. Although the current AI can answer questions and write code, it always feels a little lacking in warmth, like an efficient but cold tool. What AMMO wants to do is to make AI more understanding of human hearts.

From a technical perspective, Ammo's breakthrough lies in its unique training method. The team developed a dedicated reinforcement learning environment (RL GYM) in which the AI assistant can not only learn from human feedback, but also improve itself through interaction with other AI agents. This approach draws on the experience of OpenAI Neural MMO, but goes a step further and applies it to practical application scenarios: when users need to find a job, the AI assistant does not simply recommend a job. It analyzes the user's skills, interests, and career development trajectory, while collaborating with other users' AI assistants to understand market trends, salary levels, and even possible career development opportunities. This multi-dimensional analysis makes recommendations more accurate and valuable.

In terms of privacy protection, Ammo adopts a decentralized architecture. Each AI assistant collaborates on the premise of protecting user privacy to ensure that personal data will not be abused. At the same time, the system also has a built-in value alignment mechanism to ensure that AI's behavior is always in line with the common interests of users and society.

Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目

🥈Second place:GM Network – AI consumer applications focusing on the theme of longevity and health

GM Network is an AI-based health management platform that combines AI technology with daily health management to create a "LifeFi" ecosystem.

When users record exercise data through smart watches or bracelets, the platform's AI assistant will analyze this information in real time, including heart rate changes, exercise intensity, and energy consumption. GM Network has developed a "Proof of Health" mechanism that can convert users' health behaviors into quantifiable values. For example, a 5-kilometer run may get 50 GM points, while a high-intensity hike may get 80 points. These scores reflect health status and can also be converted into platform token rewards.

In terms of hardware support, GM Network cooperates with mainstream equipment manufacturers to support various wearable devices including Apple Watch, Samsung Watch, etc. At the same time, GM also launched its own GM Band smart bracelet, which focuses on accuracy and comfort and is equipped with real-time AI suggestion function.

Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目

🥉Third place:TypeX – AI-driven input extension

According to existing information, TypeXKeyboard is a Chrome extension driven by AI and Monad network. It collects user typing data for AI training, intending to create a new revenue model of "Type to Earn".

The TypeXKeyboard project is still in its early stages of development, and the official X platform said it will launch the project at the end of this month.

For more information, please visit the official account:https://x.com/TypeXKeyboard

Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目

👨👩👧👦 Most Popular Award:Morpheus Protocol – Monad ecosystem-native full-stack decentralized exchange

Morpheus is a full-stack decentralized exchange native to the Monad ecosystem, aiming to provide full-stack DeFi solutions such as fast AMM, token issuance tools and cross-chain.

Currently, Morpheus has not yet officially opened the full version experience. Users can visit the official website:https://morpheus.farm/matrix Connect your X account to get Monad test currency $MON, and get Morpheus platform points multiplier through daily check-ins and social media tasks.

More detailed information is subject to official update.

Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目

👍Most Popular Team Award:Likwid – A margin trading protocol without the need for an oracle

If you often use DeFi lending, you must have encountered this problem: you want to borrow with LP tokens, but you have to go through cumbersome mortgage and borrowing steps. Likwid uses the Hook mechanism of Uniswap V4 to allow users to directly use assets in the liquidity pool as collateral for lending.

Unlike traditional lending protocols, Likwid uses the innovative AMM formula "(x+x')(y+y')=k" to achieve full-authority margin trading without the need for oracles, and supports autonomous management of long and short positions. Through an exchange-based liquidation mechanism and intelligent repayment system, more reliable price positioning is ensured, potential attack risks are prevented, and any ERC-20 token can be borrowed and lent on the platform.

In the Likwid V2 version, the dynamic interest rate adjustment mechanism (DIRA) was introduced. It can automatically adjust the interest rate according to the supply and demand relationship in the market. When the demand for lending increases, the interest rate is raised to attract more deposits. On the contrary, the interest rate is lowered to stimulate lending, thereby achieving self-balancing in the market. In terms of fund management, Likwid provides users with diversified sources of income through the coordinated operation of lending pools, liquidity pools and insurance pools. At the same time, 30% of the protocol income will be distributed to the governance token holders.

Monad Madness Hong Kong 赢家揭晓,一文速览 5 个获奖项目

Summary: The direction is clear, waiting for development

Judging from the details of the winning projects, AI technology is still the main line of development of current crypto applications, and the market demand for DeFi is enduring. Even in a bear market, as long as the application direction is solid enough, both new and old can gain user recognition.

However, some of the winning projects are still in their early stages and have not yet been put into practical use or issued project tokens. Readers still need to remain observant and DYOR when gaining a deeper understanding of the projects.

The article comes from the Internet:Monad Madness Hong Kong winners revealed, a quick overview of the 5 winning projects

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