Ten ways to find the AI Agent leader

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TechFlow
2 days ago
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In the crypto industry, a set of practical AI Agent methodologies is needed.

Author: Zhou Zhou, Foresight News

In the past month, a new wave of enthusiasm for AI Agent has swept through the crypto industry.

In less than a month, the market capitalization of the entire AI Agent track project once reached tens of billions of dollars. Among them, the market value of Virtuals once reached $3 billion, and the market value of ai16z and Fartcoin once reached $1 billion. According to incomplete statistics by Foresight News, there are at least 14 crypto-currencies related to AI Agent with a market value of over $100 million.

Many Web3 practitioners say: AI Agent may be one of the biggest narratives of this cycle, just like DeFi, Non-Fungible Token and metaverse that appeared in the previous two cycles. So, when a brand-new crypto narrative is born in the early stage, how can we find the leading crypto project of AI Agent through a set of good methodologies? The author tries to list ten methods to serve the readers.

I: On-chain Revenue Method

This method is more suitable for judging platform-type AI Agent, such as Clanker, vvaifu.fun, Virtuals, etc. If the daily on-chain revenue and on-chain transaction volume have abnormal changes, such as consecutive high-speed growth, it may indicate that this AI Agent may have good development. On the contrary, it may mean that the development has stagnated.

Source: Dune

For example, Clanker, as a star project of the AI Agent in the Base ecosystem, can see from the on-chain data that after November 26, the number of issued tokens, traders, and on-chain revenue have all started to decline, and this trend is also immediately reflected in the token price.

II: Developer Attention Method

If there are more stars on Github, it may mean that more developers are paying attention to and recognizing this framework. This method is more suitable for judging framework-type AI Agent, such as Eliza.

Search on Github to see how many stars the framework-type AI Agent has. For example, ai16z/Eliza has gained 5,300 stars in less than a month, which is a very surprising data.

Data source: GitHub

As shown in the figure above, the developer attention to ai16z/Eliza has exceeded Uniswap in just one month. This shows the degree of interest of developers in this framework. Another set of data for comparison: Sui currently has 6,400 stars, Solana has 13,000 stars, Ethereum has 50,000 stars, and Base has 70,000 stars.

However, it should be noted that the stars on Github can also be brushed, although this behavior is not widespread. So this indicator can be used as an auxiliary reference for decision-making.

III: KOL Follower Quantity Method

One of the relatively certain tracks of AI Agent is: KOL.

Currently, the more famous AI Agent-style KOLs include: Terminal of Truths (210,000 followers), aixbt (160,000 followers), Zerebro (60,000 followers), Eliza (14,000 followers), LUNA (30,000 followers on Twitter, 500,000 followers on TikTok), etc.

One of the major differences in this round of AI revolution is the change in semantics. The author predicts that a KOL leader in AI Agent may emerge, and the market value of its token may even exceed $5 billion. The change in the number of followers may become one of the important indicators.

IV: Influence of Leading Figures Method

There are constantly leading figures in the AI industry entering the Crypto field. Currently, there are Marc Andreessen, the founder of a16z (representative project: ai16z), Sam Altman (representative project: Worldcoin), etc. They have brought multiple crypto-currencies worth more than tens of billions of dollars to the crypto circle. It can be expected that there will be more in the future, such as Musk and his Grok.

There are also those with lower certainty, such as Apple, Meta, TikTok, etc., as well as AI vendors like Claude, Copilot, and Gemini. These companies may bring something different to Crypto.

It is particularly necessary to pay attention to those tech giants who are simultaneously researching AI and Crypto, such as Musk, Marc Andreessen, Sam Altman, and Huang Renxun. Their leadership in the tech industry often translates to the crypto industry as well.

V: Breaking the Circle Method

If AI Agent is really the biggest narrative of this cycle, it needs to pay extra attention to the influence of AI Agent on the outside world. For example, Web2 developers are attracted by the AI Agent framework and products of Web3. According to the author's knowledge, Eliza is currently receiving attention from some AI practitioners outside the circle.

The products of KOL, such as Terminal of Truths and LUNA, have also attracted the attention of people outside the circle, and they have already gained more than 200,000 followers, and their influence is still expanding. It is necessary to understand and judge whether this trend will further break through the circle and affect the wider outside world.

VI: "Listing Effect" of Top Exchanges Method

Those who have participated in Sandbox in the early stage may know that some metaverse concepts soared after being listed on Binance. Top exchanges are called top exchanges because they need to ensure that the coins they list can lead the market. If they are led by other exchanges, they will gradually lose the position of top exchanges.

Pay more attention to the listing information and Launchpad information of Binance, Upbit, Coinbase, Bitget, and Hype, these five exchanges, as they are in fierce competition for the "listing effect" this cycle.

Especially Coinbase and Hype, Americans are indeed leading in the pan-AI Agent field, and they may have faster information advantages.

VII: Public Chain Method

Some public chains are naturally suitable for the birth of AI Agent projects, and naturally lower the threshold for the birth of AI Agent. Finding a few good public chains and finding good AI Agent projects in these public chains can achieve twice the result with half the effort.

For example, Base, its developer stars have 70,000, which is more than Ethereum, and far exceeds Solana and Sui, which can be said to be the top performer with late-mover advantages.

Coinbase itself also attaches great importance to AI Agent and has been laying out early. This will give it a huge first-mover advantage in the future competition.

The advantage of Solana is that it does well in the meme platform, and AI Agent is also highly dependent on meme to rise, which is a very big advantage for Solana.

VIII: AI Agent Community Method

Everyone has their own blind spots, but the power of the team is all-encompassing and without dead ends.

Establishing your own AI Agent exchange group and community, or finding one or two such high-quality communities, is very important. Opportunities in AI Agent are often born in corners where no one pays attention, and at this time the power of the community is needed.

IX: Track Segmentation Method

AI Agent is also divided into various tracks, such as the KOL track, the beautiful anchor track, the investment research blogger track, the meme platform track, the VC track, the platform track, and the framework track...

There are many tracks within AI Agent, and not all tracks can be unrefuted. It is necessary to find the tracks that have a real chance of surviving to the end.

X: Source Method

The beginning of the beginning, who started it? Which AI Agent opened the narrative of the entire track, it may be the leader of this track.

In the Non-Fungible Token track, CryptoPunks has always been in a transcendent position, Ape has created a new narrative for the entire track, and Bored Ape is the best NFT combined with Web2; in the metaverse track, Sandbox and Decentraland were listed on top exchanges early and occupied the leading position of the metaverse; Uniswap first realized the concept of automated market makers in decentralized exchanges (DEX), becoming the pioneer of the market...

Those projects that achieve systemic innovation are often the ones that get the biggest share of the track dividends.

It will be like BTC, making you always feel that it is expensive, but when you look back, it was really cheap at that time.

Source
Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
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