The PMF Path of Crypto + AI: From Meme to Agentnomics

The PMF (Product Market Fit) concept applies to entrepreneurs, so as to avoid creating products/services that they feel good about but the market does not buy.

Crypto + AI, looking for PMF

PMF (Product Market Fit) refers to product market fit, which means that the product must meet market demand. Before starting a business, you should first confirm the market situation, understand what type of customers you want to sell to, and understand the market environment of the current track before developing the product.

The concept of PMF applies to entrepreneurs, so as to avoid creating products/services that they feel good about but the market does not buy. The concept is also applicable to the cryptocurrency market. Project parties should understand the needs of cryptocurrency players to create products, rather than piling up technology that is out of touch with the market.

In the past, Crypto AI was mostly bundled with DePIN. The narrative was to use Crypto's decentralized data to train AI, thereby avoiding reliance on the control of a single entity, such as computing power, data, etc., while data providers can share the benefits brought by AI.

According to the above logic, it is more like Crypto empowering AI. In addition to distributing the benefits to computing power providers in token form, AI finds it difficult to onboard more new users. It can also be said that this model is not so successful in PMF.

The emergence of AI Agent is more like an application end, compared to DePIN + AI which is like infrastructure. Obviously, the application is simpler and easier to understand, and has a better ability to attract users, and has a better PMF than DePIN + AI.

First, GOAT, sponsored by A16Z founder Marc Andreessen (who also proposed the PMF theory), was created by a conversation between two AIs, which fired the first shot of AI Agent. Now, both ai16z and Virtual have their own advantages and disadvantages. What is the development trajectory of AI Agent in the cryptocurrency circle? What stage is it in now? Where will it go in the future? Let WOO X Research show you.

Phase 1: Meme Starts

Before the emergence of GOAT, the hottest track in this cycle was meme coins, and one of the characteristics of meme coins is their strong inclusiveness. From the zoo's hippo MOODENG, to the newly adopted Neiro of DOGE's owner, to the Internet's native meme Popcat, etc., they show the trend of "everything can be a meme". Such seemingly nonsensical narratives actually provide a fertile soil for the growth of AI Agents.

GOAT is a meme coin generated by a conversation between two AIs. This is the first time that AI has achieved its own goals through cryptocurrency and the Internet and learned from human behavior. Only meme coins can carry such a highly experimental project. At the same time, similar concept coins have sprung up, but most of their functions remain at automatic Twitter posting and replying, etc., without practical applications. At this time, AI Agent coins are usually called AI + Meme.

Representative projects:

Phase 2: Exploring Applications

Gradually, people realized that AI Agents can not only interact with each other on Twitter, but also extend to more valuable scenarios. This includes content production such as music and video, as well as investment analysis, fund management and other services that are more suitable for cryptocurrency users. From this stage, AI Agents separated from meme coins, forming a new track.

Representative projects:

Extra: Distribution Platform

As AI Agent applications flourish, which track should entrepreneurs choose to seize this wave of AI and Crypto?

The Answer is Launchpad

When the currency under the issuing platform has a wealth effect, users will continue to look for and purchase tokens issued by the platform. The real income generated by the users' purchases will also enable the platform currency to drive up the price. As the price of the platform currency continues to rise, funds will spill over to the currency issued under it, forming a wealth effect.

The business model is clear and has a positive flywheel effect, but it should be noted that Launchpad is a winner-takes-all Matthew effect. The core function of Launchpad is to issue new tokens. Under similar functions, what needs to be competed is the quality of the projects under it. If a single platform can stably produce high-quality projects and has a wealth-creating effect, the user's stickiness to the issuance platform will naturally increase, and it will be difficult for other projects to snatch users.

Representative projects:

Phase 3: Seeking collaboration

After AI Agent begins to realize more practical functions, it will begin to explore collaboration between projects and build a stronger ecosystem. The focus of this stage is on interoperability and the expansion of the ecological network, especially whether it can generate synergies with other crypto projects or protocols. For example, AI Agent may cooperate with DeFi protocols to improve automated investment strategies, or integrate with NFT projects to achieve smarter tools.

To achieve efficient collaboration, it is necessary to first establish a standardized framework to provide developers with preset components, abstract concepts, and related tools to simplify the development process