The Base ecosystem has been exceptionally hot recently, with the emergence of concepts like "vvv" followed by $aeon. However, if you're a newcomer to the Base ecosystem, figuring out who to follow and what the latest trending narratives are can certainly bring some frustration regarding "how to get up to speed quickly."

Chain-based trading terminals now offer highly sophisticated functionality. We frequently use tools such as gmgn for on-chain buy and sell operations. But by leveraging additional features within these terminals, we can also rapidly acclimate ourselves to a new ecosystem.

Take gmgn as an example—its "Explore" feature includes a profit ranking for addresses on the Base chain. I directly analyze the assets these top-performing addresses have profited from recently, forming an initial understanding of current ecosystem dynamics.

These two addresses rank first and second in 30-day profits. Both carry a "Sniper" tag. My immediate assumption is that they are high-frequency traders who typically profit through rapid trades in meme coins. Therefore, I aim to use these two addresses to identify the prevailing meme coin trends currently active in the Base ecosystem.

Next, I examine the profit sources of these two addresses in detail. Starting with the address at the top in the screenshot, nearly $130,000 of its profit comes entirely from $TSG—$108,000 specifically.

Navigating to the token’s detail page, I use the social media button on the interface to jump to its X (formerly Twitter) profile.

First, I review the CA and other content on the X profile to confirm that the account being accessed indeed corresponds to this token. Then, scrolling through the posts, I discover it’s a meme coin whose popularity stems from influential figures repeatedly chanting the slogan: “There is a sleeping giant sitting on Base rn.”

From the above screenshot, I can now follow all accounts that have retweeted the official $TSG post. Using gmgn’s tracking function, I add these accounts to my X monitoring list, enabling gmgn to deliver real-time alerts whenever they post.

$TSG once surged to a market cap of $7 million but quickly declined afterward. At this point, we can consider that if these influencers mention the slogan again, it may present another opportunity to re-enter. By using the monitoring feature, we can set up a keyword alert for more precise tracking and timely notifications.

Finally, I revisit the entry position of this large-profit address to confirm the purchase price was extremely low—clearly a successful sniper trade leading to substantial gains.

At this stage, we have obtained:

- A high-profit address with a style of early, low-entry, quick-snipe trades. In gmgn, I mark this address—for instance, as “TSG $10k Sniper”—and set up continuous tracking. For a more aggressive approach, I can use gmgn’s small-scale copy-trading feature to mirror this address’s moves, continuously monitoring performance; if the address’s win rate declines, I halt the copy-trading strategy accordingly.

- The dominant meme trend on Base. We observe that this token gained traction due to celebrity-driven rallying cries. I’ve added these key figures to my X monitoring list. Going further, I can delve into their engagement patterns and follower lists to expand our database of influential players in the Base ecosystem.

- A potential second-wave opportunity: should the slogan resurface, the token price could experience a swift rebound.

Then, I turn to the second address, which has earned over $170,000 on $LFI, with a holding period of 19 days—indicating a long-term play.

At this point, I consider the underlying theme of this token. Can we deduce the current thematic core of the Base ecosystem from this project? Here, I can directly search for LFI on ChainThink (Ludong):

By reading ChainThink articles, we can quickly grasp what these projects do and gain deeper insights into on-chain trends. For example, LFI represents RWA + team-backed capital, while AI-related tokens on Base include “vvv” and aeon, among others.

Naturally, the above workflow can be reversed: for instance, we could first browse DexScreener to filter Base chain tokens, identify those with the highest 24-hour trading volume, then use gmgn to analyze profitable addresses and assess narratives.

The ultimate goals remain consistent:

- Clarify the primary narrative driving activity on the Base chain

- Expand our database of high-profit addresses and influential figures, tagging their styles for classification and real-time tracking of emerging developments

- Identify potential key turning points for tokens already experiencing significant price movements, and use corresponding tools for ongoing monitoring

Thanks to the mature suite of features available on modern trading terminals, we no longer need to feel lost when entering a new ecosystem or spend excessive time aimlessly browsing X and Farcaster. Hopefully, this guide helps newcomers navigate the Base ecosystem with confidence.

Author: BlockBeats