What to Check on GMGN After You Find a Trending Memecoin
Six questions to answer on GMGN after a memecoin trends: is it the right contract, does the contract carry risk, is the supply concentrated, was it bought or transferred in, are the early buyers still there, and what else has the developer launched.
Checking a trending memecoin’s contract, its supply and the wallets around it comes down to six questions on GMGN, all of them answered from the token page and the wallet pages:
- Is this the token you actually meant? — the contract address, and Same Name Tokens
- Does the contract itself carry obvious risk? — the Token Audit panel
- Is the supply concentrated? — Top 10, and the first 100 rows of Holders
- Was that supply bought, or transferred in? — Bought, and the Phishing metric
- Are the earliest buyers still holding? — the Snipers popover
- What else has this developer launched? — the Dev Token tab
Once those six are answered, the wallets that matter go into your tracker, so you keep seeing what they do next.
Finding a coin everyone is watching is the easy part. 牛来 (Niu Lai), a Chinese animated film, opened in August 2026 with no marketing, took about a thousand US dollars in nine days, then went viral for how crude its animation was and the box office reversed. The token was created on 13 August, a day before the film started trending — and six days later its all-time-high market cap on GMGN read $50.76 million (GMGN’s own ATH reading; other platforms derive theirs from their recorded peak price and land a few percent apart).
Everything below is read from the GMGN interface and public sources at various points on 19 August 2026. These metrics move with on-chain activity.
That is the price side of it. What follows is what sits underneath the price.
Does a big price pump mean a memecoin is safe?
No. A pump tells you the price went up. It does not tell you how it got there, and it says nothing about who holds the supply. On 19 August 2026, GMGN showed Niu Lai with Top 10 at just 17.33% while the first 100 holders held more than half the supply; 19 addresses had never bought once; and 65 of the earliest 70 buyers had already sold out — which they could only do because someone else was buying.
The lists even show which apps those orders came through: among the top 100 holders, 42 carry a fomo platform tag, 17 gmgn and one axiom; among the top 100 traders, 45 fomo and 26 gmgn. The tag says which platform an address has used. It does not say where the money came from, and it is not enough to conclude those addresses belong to one pool of funds.
A pump is not evidence of health either. A study covering 34,988 memecoins across Ethereum, BNB Smart Chain, Solana and Base found that among tokens gaining more than 100% during its three-month observation window, 82.89% showed signs of artificially manufactured market interest, among them wash trading and what the authors call liquidity-pool price inflation (LPI) — the latter being cases where “small strategic purchases trigger dramatic price increases”. That is a statistic about the high-return sample as a whole, not a verdict on Niu Lai.
All six questions ask about things that have already happened: whether the token is the right one, whether the contract left a trapdoor, how the supply reached the addresses holding it now, and what the person who minted it has done before. None of them predict what comes next. How the coin reached you in the first place is worth a section of its own.
What does a FOMO alert actually tell you?
A single alert tells you who is buying what. It does not tell you anything about the token itself — whether the contract carries risk, who holds the supply, where the money came from and what the developer launched before are all read from GMGN’s token page and wallet pages. FOMO describes itself as “the only social-first trading app” and calls the feature ALERTS; its own line for it is “real time notifications for what the best are buying”, and speed is the point. And a wallet that turns up in an alert can be brought straight into GMGN — transfer tracking for FOMO wallets went live on 7 August 2026.
Attention arrives from anywhere. Niu Lai left a trace of that: in the platform tags above, fomo was the largest group on both the holder and the trader side. A FOMO alert comes from traders you follow and traders near the top of the leaderboard; a post on X or a line in a group chat can do the same job. GMGN builds the attention side too, and it is three different things rather than one layer: Trenches (the live feed of new launches) is token discovery; Callout on a wallet’s page and TopCallers on the CopyTrade page are social signal; Rank and the Smart Money and KOL wallets under Monitor are wallet intelligence.
The hard part is what comes next. Judging a token means seeing the contract, the distribution, the funding sources, the early buyers and the developer’s history at once — and those sit in several separate tools. Switching back and forth to cross-read them, you will not get through the list before the price has moved. So attention is one thing; the checking has to happen too, and it has to land on one panel.
So however the token reached you, what follows is the same set of checks — starting with making sure the address in your hand is the token you think it is.
How do you tell two memecoins with the same name apart?
By the contract address, not the name — one developer address can mint several identically named tokens minutes apart, with the same name and the same image. GMGN’s token page carries Same Name Tokens and Avatar Reused Tokens panels on the right for comparison, and the OG badge in Trenches marks, in its own words, the “earliest token of the same name”.
Niu Lai is a clean example. The token that ran to $50.76 million was not the only token called 牛来 its developer address created that day: the same address created one at 11:53:25 on 13 August that peaked at $119.8K, then created the one now worth the most six minutes later, at 11:59:30.
OG only tells you which came first. It does not tell you which one the market settled on. The BSC contract address of the one now worth the most is 0xbeea1d618e533a387d941f58a7d4c9b7bd377777.
Address confirmed. The next layer is whether the contract itself left anyone a way in.
How do you check a memecoin’s contract risk on GMGN?
The Token Audit panel on GMGN’s token page answers contract-level questions: is the contract verified, have owner permissions been renounced, is it a honeypot, is there a blacklist, among others. It does not answer whether the supply is concentrated or where the money came from — that is the Holders and Top Traders lists below. For Niu Lai the readings were Contract Verified, NoHoneypot, Renounced and No Blacklist. GMGN’s honeypot check covers tokens that “cannot be sold because of the token contract’s function”, or that contain malicious code.
Tax is worth reading carefully, because the answer depends on where you read it. Token Audit carries two rows about it: B/S Tax, given as Buy and Sell separately — both 1.00% on Niu Lai — whose tooltip says only “Tax on buying and selling the token”; and Tax, given as Average and Highest, also both 1.00%. A third reading sits at the top of the token page, labelled Total Tax, at 2% / 2% on 19 August — and its tooltip spells out the basis: “Total Tax: Liq pool swap fee + Token tax”. It counts the pool fee on top, so the top-of-page figure never sits below the one in Token Audit. Three readings that do not match is not the same as one of them being wrong.
The Renounced row carries GMGN’s own warning: “Contract permissions have been relinquished. However, be aware that some token contracts might fake ‘renouncement’ and still update the code”. So a tick there only means standard owner permissions are gone; it does not mean every control path is closed. On the EVM side this panel is labelled with GoPlus, Honeypot.is and Serialized — finer-grained fields have to be read back at those sources.
The panel above Token Audit reads supply rather than contract terms: DEV, Insiders, Snipers, Top 10, and how much of the pool is burnt. For Niu Lai: 0%, 0%, 0%, 17.33%, 95%.
The first three describe different groups of people. DEV is the developer address’s current share. Insiders — the interface labels these Insider Wallets and defines them as wallets connected to the project team. Snipers counts the earliest addresses to buy.
Those lines are defaults rather than standards, and they are yours to change. Trenches carries a Metrics Threshold panel with eight of them: Top10 hold and DEV default to 30%, Insiders and Phishing to 5%, and Bundlers, Fresh Wallet, Sniper and Rugged to 10%. Burnt reads differently, because the mechanism settles it: once LP is burnt nobody can pull it, so a higher share leaves the team less room. GMGN puts it as “100% indicating that the project cannot withdraw from the liquidity pool”. Niu Lai is at 95% — some of it is still unburnt.
Niu Lai showed no obvious red flag at the contract layer. That is not the same as a clean supply structure. An audit is a screen, not a guarantee: the same contract can come back differently on different tools, which is worth cross-checking.
If the Top 10 hold under 30%, is the supply actually spread out?
Not necessarily. That 30% does exist, but it is the default value for Top10 hold in GMGN’s Metrics Threshold panel — a setting you can change, not a safety promise. And it covers ten addresses; it does not reach the first hundred. Whether supply is genuinely spread out shows in the cumulative holdings of the first 100 rows of Holders, and in how those addresses were funded.
The interface gives this figure directly, as TOP100 Owned on the row above the Holders list. Niu Lai’s Top 10 read 17.33% at 12:38. Adding up the first 100 rows of the same holder list by hand at 15:02 gives 57.22% of total supply — 54.39% after removing three Pancake pool addresses and one exchange address. The largest single address in that hundred holds 6.013%; every other one is under 2%, and the hundredth holds 0.21%.
Why remove them: a pool holds the AMM’s shared liquidity, not one person’s position, so counting it as concentration is wrong to begin with.
The two readings count different things: ten addresses against a hundred. Walking ninety addresses down from number eleven adds another thirty-odd percentage points of supply, and not one of them looks remarkable on its own. Strictly, though, that gap is an order of magnitude rather than a figure: the two numbers come from different moments (12:38 and 15:02), and we removed the pool and exchange addresses by hand while the interface does not state which exclusions Top 10 applies.
That hundred-address layer does not even have a place to set a threshold. The eight metrics above all take a custom line in Trenches; Top 100 is not among them — in the product it has a displayed value but no line attached to it. So it gets read alongside those eight rather than against a line of its own.
And a distribution that looks spread out can be built that way on purpose. MELT, a public dataset covering more than 41,000 memecoin launches and over 200 million transactions on Solana, clusters accounts under common control and finds that on average 36.5% of a token’s supply sits with those coordinated accounts — a pattern the paper describes as one that “disguises the true ownership concentration from unsuspecting buyers”.
That data covers Solana, and Niu Lai is on BSC — but the logic carries: a lot of addresses does not mean a lot of separate owners. Which brings up where the supply came from.
If a wallet holds a token, did it actually buy it?
Not necessarily. Read Bought, Sold and the transfer-in record in GMGN’s Top Traders list: an address showing Bought of $0 / 0 TXs while still holding a position — or while having already sold — did not get those tokens by buying them.
Among Niu Lai’s top 100 traders by profit, 19 addresses look like this; seven of the ten largest holders show Bought at zero. 0x0121…ced57, for instance: Bought $0 / 0 TXs, Sold $359.6K across 43 transactions, Pnl +$793.5K, still holding 1.25%. The largest holder in that hundred (6.013%) is more extreme still: both Bought and Sold at zero, the whole position arriving by transfer.
One thing here is easy to misread: for a wallet like this — Bought at zero, supply arriving by transfer — the Pnl on the page is not that wallet’s return. Whatever those tokens cost was paid somewhere upstream. With wallets like these the transfer source is the thing to follow, not their place on a profit leaderboard.
The Phishing metric on the panel reflects the same origin, and for Niu Lai it reads 56.2%. Read that as a share of supply, not a share of wallets — on a Trenches card the same metric’s tooltip reads as the share of supply held by phishing-flagged wallets. GMGN’s own tooltip for the flag reads: “The tokens were not bought; they were transferred in.” That is what it catches. The exact matching condition is not published, though, so it is not safe to read it as “any address that ever received a transfer”. Because the flag turns on a broad characteristic, a flagged wallet is not necessarily doing anything to anyone. 56.2% works better as a signal worth investigating than as a risk verdict.
The next paragraph answers a different question, and the two are easy to conflate: above is how the tokens reached the wallet; below is who supplied the wallet’s BNB, which is about links between wallets rather than where this token came from.
To follow it further, look at Funding and TF Amount at the far right of the Top Traders list; the value that matters most there is Shared Funding, the count of wallets funded from the same address. In Niu Lai’s top 50, one non-exchange address had funded six wallets and another had funded two — and both of the latter show Bought at zero. Shared sourcing from an exchange hot wallet is ordinary; plenty of users withdraw from the same exchange address.
GMGN runs a label on the same idea: Insiders, from earlier. Comparing funding sources by hand is looking for the same kind of thing.
Supply can arrive by transfer. So what about the people who actually paid for it first — are they still around?
How do you check whether a memecoin’s earliest buyers have sold?
Hover Snipers on the token page’s metrics panel. The popover is titled First 70 buyers and sorts them into five states — Hold, Sell Partial, Buy More, Sell All, Transferred — plus three percentages: Snipers Hold, Current Total Holdings and Top 10 holders. The spread across those five states is what tells you whether the earliest buyers are still there.
For Niu Lai: 65 of the first 70 had sold all and five had sold part, while Hold, Buy More and Transferred were all zero. Their combined current holdings came to 0.53% of total supply.
So Snipers at 0% and “65 early buyers have exited” are not in conflict: the first is the share snipers currently hold, the second is their exit status.
It is also why entry size alone says little. Two addresses that put in about $150 on Niu Lai ended up in completely different places. One bought $149.27 and never sold, leaving a position worth $109,198. The other, per a Finbold report dated 18 August 2026, bought in with $148 and sold out the next day for roughly $1,600 in proceeds and a little over $1,430 in profit. What decided the outcome was what happened after the entry, not the entry.
With the early buyers gone, one party is still unchecked: whoever minted the token.
How do you check what a memecoin developer has launched before?
The Dev Token tab on GMGN’s token page lists every token the same developer address has created, with each one’s ATH MC and current market cap. DEV at 0% does not mean the developer carries no history — what that address launched before, and how those tokens went, is a separate question.
Niu Lai’s developer address is 0x6af3f52369c39f6ca2d9a50799723feff7ff679e, holding 0.126 BNB, with eight tokens to its name, all eight showing Migrated in that column:
| Token | Created | ATH MC | Market Cap | Holders |
|---|---|---|---|---|
| 牛郎 | 19 Aug | $390.8K | $151K | 1.3K |
| 雨后轻风有香 | 18 Aug | $47.6K | $17.9K | 229 |
| 牛来了 | 17 Aug | $97.1K | $20K | 272 |
| Moo | 17 Aug | $234.6K | $11.9K | 331 |
| 绊倒体 | 17 Aug | $344.7K | $45.3K | 832 |
| 熊走 | 15 Aug | $269.3K | $16.2K | 449 |
| Niu Lai | 13 Aug | $50.8M | $38.2M | 33.2K |
| Niu Lai (the other one) | 13 Aug | $119.8K | $15.5K | 502 |
(The interface’s own column shows relative ages — 11h, 1d, 6d; the dates above are the creation timestamps those resolve to.) Eight tokens in six days, and apart from Niu Lai every one peaked below $400K. After Niu Lai ran, the address did not stop: one more on 15 August, three on the 17th, one on the 18th, one on the 19th.
An address like this can be handled in two directions. To stop seeing what it launches, open the blacklist from the Trenches toolbar and add it under the developer category — the interface describes this as blocking all tokens from the specified developer. A profile like this one — eight tokens in six days, seven of them peaking under $400K, six more after the one that ran — fits that direction rather than the other. The other direction is keeping it in view: on 18 August 2026 GMGN added a layer to Trenches so a wallet you already track, renamed and given a colour, highlights its Trenches card in that colour the next time it launches; the switch sits under Customize → Layout → Tracked Dev. Tracking here is for recognising an address, not for following its trades.
On why the creator is worth checking rather than the current holdings alone, there is peer-reviewed work on this exact pattern. A USENIX Security 2023 study of the token ecosystems on Ethereum and BNB Smart Chain, using data through March 2022, found that 1% of addresses created 24.3% of all tokens on BSC and 20.1% on Ethereum — the authors call them token spammers — and that on BSC, 2,112 of 4,231 token spammers (50%) carried out at least one rug pull, and a further 115 addresses each running more than a hundred. About 60% of the tokens in that dataset were active for less than a day. A serial launcher is precisely what the Dev Token tab makes visible.
How do you track a wallet’s buys, sells and transfers on GMGN?
There is a track button at the top right of a wallet’s detail page, and once it is on, that address keeps showing up under Wallet Tracker in the bottom navigation. But Transfer In and Transfer Out have to be checked on by hand, in the filter’s Metrics group — GMGN’s own write-up of the feature gives exactly those two steps: search the address and hit Follow, then check the two transfer options. Without them, wallets that got their supply by transfer drop out of view — which is exactly how those 19 addresses on Niu Lai got theirs.
What can GMGN find, and what can’t it?
GMGN is a multichain on-chain trading terminal. What it finds is behaviour observable on-chain: contract-layer audit results, distribution, trade and transfer records, the state of the early buyers, a developer’s launch history, and what a tracked wallet does next. It does not produce conclusions about identity.
What it cannot determine directly: who is behind a wallet; the ultimate origin of transferred-in supply — no column tells you which address a wallet’s tokens arrived from, so following that further means reading the token’s transfer records on-chain yourself; whether several addresses answer to one controller; and whether a given label amounts to “whale” or “KOL”.
One more limit worth holding onto: Fresh, Dex bot and several other counts in the holder statistics all read 1,000 on Niu Lai at the same time — that is a cap, not a wallet count. Field definitions also differ by chain: the tax label at the top of a Solana token page carries the DEX fee rate, not a contract-level buy/sell tax.
On-chain labels work for choosing what to investigate. They do not work as the final piece of evidence.
Disclaimer: this article is for informational and educational purposes only and is not investment, financial or legal advice. Crypto prices, and memecoin prices in particular, are extremely volatile; the large majority end at zero, and users can lose their entire principal. Data is current as of 19 August 2026 and may have changed since. Do your own research (DYOR) and use only funds you can afford to lose. GMGN makes no promise, guarantee or projection of any return. Any user gain or profit mentioned here is an individual case and a rare one; it does not represent a typical outcome and is not a promise of future returns.
FAQ
If a memecoin uses the name of a film or a celebrity, does that mean there is an official partnership?
How do you judge whether someone calling a coin is worth following?
Are Phishing and Didn't buy the same thing?
How can you tell whether a funding address is an exchange or a personal wallet?
What is the difference between Smart Money and KOL?
Related
- How Do You Know If a Meme Coin Is Safe? A Guide to Spotting Honeypots and Rug Pulls Before buying any meme coin, run four on-chain checks — can you sell, contract permissions, liquidity, and holders — to dodge most honeypots and rug pulls.
- How Can Beginners Trade Meme Coins Safely? How can beginners trade meme coins safely? Use money you can lose, verify everything you can before buying, and set exit rules in advance — done on GMGN, step by step.