Levels 1-6: How MEME Influencers and Project Teams Collaborate to Harvest

Author: JamesX

Many people's understanding of Meme influencer harvesting is still at a very basic stage:

The project team gives the influencer a sum of money or a portion of tokens, the influencer posts a few tweets to shill, and after fans rush in, the project team dumps at a high price.

This kind of thing certainly exists.

But if you observe the Meme market over the long term, you'll find that many current tactics are far from this simple.

Because for a mature Meme operation team, an influencer is never just an "advertising slot."

An influencer can be a traffic source, a token distributor, a price catalyst, a project insider, or even own an entire project team.

Sometimes, the so-called "million-dollar meme coin trader" may itself be part of the whole game.

To understand this playbook, you first need to understand a fundamental question:

What does a Meme project truly lack?

Not tokens.

Issuing a token takes only a few minutes.

Not Meme images.

AI can generate dozens in a minute.

Often, not even capital.

What is truly scarce is:

People who are continuously willing to buy at higher prices.

In other words, exit liquidity.

So the core chain of the entire Meme market is actually:

Tokens → Narrative → Attention → Buying Pressure → Liquidity → Exit

And influencers happen to sit at the most critical position in this chain.

Because the real asset they hold is not "research ability," but:

The ability to convert attention into buying pressure.

Once you understand this, you can understand why project teams are willing to bind influencers with increasingly complex methods.

Level 1: The Most Basic Paid Shilling

This is the most traditional and lowest-level form of cooperation.

The project team approaches the influencer:

Gives 5,000U, 10,000U, 20,000U, or directly gives a batch of tokens.

Then requires the influencer to:

Post tweets, join Twitter Spaces, shill in WeChat groups or Telegram groups, or pretend they just "discovered" the project.

The real issue here is not the advertising itself.

There's nothing strange about crypto projects doing marketing.

The real issue is: whether the conflict of interest is disclosed.

What users see is:

"I recently researched something and found it quite interesting."

The actual situation might be:

"The project team just transferred me 20,000U yesterday."

These two pieces of information are completely different for investors.

A more classic scenario is when the project team already holds a large amount of low-cost tokens.

After the influencer starts shilling, a large number of fans rush into the market.

Trading volume rapidly expands.

But the price does not rise significantly, or even starts to consolidate after a brief spike.

This is a very noteworthy warning signal in the Meme market:

Attention ↑

Volume ↑

Price ≈

If a large amount of new buying suddenly floods the market but the price does not show corresponding responsiveness, it is at least worth asking:

Who is absorbing the buying pressure?

Because buying and selling always happen simultaneously.

A sudden increase in volume that fails to push the price up often means there is continuous supply on the other side of the market.

Of course, this alone cannot prove that the project team is dumping.

But if at the same time you can observe:

Project team associated wallets, early holders, and team wallets continuously selling, then the whole logic becomes increasingly clear.

At this level, the influencer is essentially:

An advertising channel.

Level 2: The Project Team No Longer Pays Advertising Fees, but Lets the Influencer "Make Money Without Risk"

The second level starts to get interesting.

Because the project team gradually discovers a problem:

If you give an influencer 20,000U, he might post two tweets for you.

But if you let him make 200,000U on a project, he might proactively promote it for a month.

So the cooperation model begins to change.

The project team no longer simply buys advertising.

Instead, they start: structuring the influencer's incentives.

For example, the project team has already completed early token accumulation.

The current project FDV is only 500K.

Then the project team tells a group of influencers with good relationships in advance:

You can get in now.

So several people build positions at:

500K, 600K, 700K FDV respectively.

After that, the project team starts pumping, shaking out weak hands, building community, creating trading volume, trending, and finding more influencers.

The project goes from:

500K → 2M → 5M → 10M.

At this point, the earliest batch of influencers already have tenfold or even dozens of times in unrealized gains.

Then they start tweeting:

"I discovered this project very early."

That's true.

"I have a large position myself."

That could also be true.

"It's already up more than tenfold."

Still true.

This is the smartest part of the second-level play:

Almost everything shown to users can be true.

The only hidden information is:

Why was he able to buy in so early?

Ordinary users will naturally interpret this result as:

The influencer has strong research ability.

But the real situation could also be:

The project team gave him an almost asymmetric entry opportunity in advance.

The biggest difference here is:

Normal Alpha is:

Research → Judgment → Take Risk → Buy.

While insider Alpha might be:

Advance Notice → Buy → Project Team Makes Market → Public Promotion.

The final results look very similar.

So the most noteworthy signal at the second level is:

Multiple influencers' cost ranges are abnormally close

Suppose a very obscure Meme:

A buys at 620K FDV.

B buys at 670K.

C buys at 710K.

D buys at 650K.

Then after the project rises to 3M, these four people suddenly start discussing it one after another.

Looking at any single wallet alone, there is no problem.

But if the same pattern repeatedly appears:

The same group of people always manage to buy tokens that no one is discussing yet at similar cost ranges, and then start promoting together, it is worth tracking further.

Especially observe a very critical time sequence:

Is it public research first, then buying; or collective buying first, then public "discovery"?

Because many times, what users see is:

The influencer researched an Alpha, so he bought early.

But the actual on-chain timeline might be:

Wallet buys first → Project starts pumping → Influencer starts promoting.

The difference between the two is huge.

There is also a very interesting anomaly:

If a person who has been trading Memes for a long time has almost never failed with a large position, and every time the cost of a truly large position is abnormally low, it is worth asking:

Is he always discovering Alpha, or is he always being tipped off?

Level 3: The Project Team Directly Creates a "Million-Dollar Profit Influencer"

Going up another level, the play becomes even more counterintuitive.

The project team is no longer satisfied with letting the influencer make several times on one coin.

They begin to realize:

An influencer with huge on-chain PnL is itself a marketing asset.

For example, an ecosystem project team directly gives the influencer a batch of early tokens.

Or helps the influencer create an address.

This address obtains tokens worth $20,000 in an extremely early Meme.

Later the coin rises 100x.

So on-chain tools show:

PnL +$2,000,000

The community starts taking screenshots.

Twitter starts spreading.

Various Smart Money Bots start tagging.

Everyone says:

"This person made two million dollars on one coin."

From this moment on, this influencer's market status is completely different.

From now on, when he says:

"Bought some XXX."

A large amount of copy-trading capital may immediately flow in.

But there is a very important cognitive trap here:

Unrealized PnL does not equal Realized Profit.

On-chain showing a profit of $2 million does not mean this person can actually take away $2 million.

Even:

Ownership of the address does not imply control.

Some arrangements might be:

The project team holds the private key.

The influencer can only display the address.

Or both parties have an agreement that the position cannot be sold arbitrarily.

Or the entire address is just believed by the market to belong to this influencer.

This can explain a very abnormal phenomenon in the Meme market:

Some public addresses have unrealized gains on one coin:

500K, 1M, 3M dollars.

In the end, the token drops 90% from its high or even approaches zero.

The address never takes profits.

For a normal trader, this is very hard to understand.

Made millions of dollars, why not sell at all?

One possibility worth verifying is:

This position is not a freely disposable asset in the normal sense.

At this point, the real value of the so-called million-dollar PnL may not be profit.

But rather:

Marketing budget.

The project team uses extremely low-cost early tokens to create:

A "Meme legend who made $2 million on one coin."

This is equivalent to creating a huge credit asset.

In the future, this person can bring real capital to more projects.

From this perspective:

The earlier 2M unrealized gain can even be understood as:

Influencer Acquisition Cost.

The project team is not rewarding the influencer with two million dollars.

They are creating a traffic source that may be worth far more than two million dollars.

Level 4: The Influencer Is No Longer Just an Account, but a Traffic Distribution Network

When an influencer's influence is large enough, the liquidity he brings is far more than just his own Twitter followers.

Because the on-chain ecosystem now has a large number of automated copy-trading systems.

When an influential wallet buys, it triggers:

Wallet monitoring Bots.

Smart Money Alerts.

Telegram Alpha Groups.

GMGN, Arkham, Debank user tracking.

Copytrade.

Secondary propagation by smaller influencers.

Community screenshots.

So a core wallet's transaction forms a complete propagation path:

Core influencer buys

↓

Bot monitoring

↓

Alpha Group

↓

Smaller influencers

↓

Twitter

↓

Copytrade

↓

More users buy

At this stage, the influencer is no longer just a content creator.

He is more like:

A distribution channel in the crypto world.

Sometimes, he doesn't even need to tweet.

The address itself is media.

Address becomes Media.

A wallet with enough followers can create Attention just by making a buy.

And Attention creates trading volume.

Trading volume attracts more people.

So what the project team really wants to bind is no longer just:

"Can you post a tweet for me?"

But rather:

"Can the entire traffic network behind you be activated?"

Level 5: The Influencer Is a Project Insider

At the fifth level, the boundary between the so-called "project team" and "influencer" begins to disappear.

On the surface:

This is an independent influencer researching a project.

In reality, he may:

Participate in early token distribution.

Participate in token design.

Participate in market making.

Participate in project financing.

Participate in the community.

Participate in marketing.

Even have a share of trading fees.

At this point, he is no longer a "person paid to promote."

But rather:

A hidden shareholder, hidden issuer, or benefit distributor of the project itself.

But when communicating externally, his identity may still be:

"I recently discovered a quite interesting project."

This is also where users are most likely to misjudge.

Because what the public sees is:

Independent Opinion.

What may actually exist is:

Undisclosed Conflict of Interest.

Here it needs to be emphasized again:

Participating in a project, investing, and making money are not problems in themselves.

The real problem is:

A person with an obvious conflict of interest packaging interest-related content as independent investment judgment.

Because once the conflict of interest is hidden, users lose the most important part of the context for judging information quality.

Level 6: The Highest-Level Play—The Influencer Is the Operator

This level is the truly complete closed loop.

The influencer no longer waits for the project team to cooperate.

He himself owns, or deeply controls, a team that:

Issues tokens, controls token supply, makes markets, operates, markets, and dumps.

His surface identity remains:

Meme Trader / Alpha Hunter / Smart Money.

But the business model behind it has become:

Create the market himself, then use his own market influence to profit.

And the smartest first step of this model is not direct harvesting.

But rather:

First create the persona of a Meme expert.
 

Step 1: First build up the public wallet's PnL

Suppose an influencer does not yet have enough market influence.

The team first issues several Memes themselves.

Because the entire project is under their control, they know:

When to issue the coin.

When to add LP.

Where the early tokens are.

Which wallets will not sell.

When to start pumping.

When to start marketing.

So the influencer's public address can buy in at an extremely early stage.

For example:

Buy at 10K FDV.

Then the team starts market making:

100K.

500K.

2M.

10M.

Finally, looking at the on-chain data:

This address:

+300K.

+800K.

+1.5M.

After doing several in a row, an "on-chain legend" is created.

The most important sentence in this process is:

You think he is predicting the market, but the market may have been created by him in the first place.

The logic of a normal Meme Trader is:

Seeing that a project might rise, so buying in advance.

But if the project itself is issued by his own team, then the so-called "precisely catching a 100x coin" has no prediction problem at all.

Because:

The person who sets the questions certainly knows the answers.
 

Step 2: Turn the address's track record into credibility

Crypto users trust on-chain data very much.

Because everyone thinks:

Tweets can brag, but wallets don't lie.

So an address that consistently appears in 100x coins will quickly become:

Smart Money.

Various tools start tagging.

Various communities start tracking.

More and more people start following this influencer.

Finally, the market forms a simple perception:

"This person's address is especially accurate."

But there is an even more hidden problem here:

Are you seeing all of his addresses?

A team can easily have:

20 wallets.

50 wallets.

100 wallets.

Different wallets buy different projects.

Most go to zero.

Finally, the most successful address is made public.

So what the public sees is:

80% win rate.

In reality, the team's true win rate may be completely different.

This is a very typical:

Survivorship Bias as Marketing

Packaging survivorship bias as trading ability.
 

Step 3: The address itself begins to have market influence

When more and more people monitor this wallet, a very important change occurs.

At first:

Twitter influences the wallet.

Later:

The wallet begins to influence the market in turn.

For example, this address suddenly buys a Meme with a 300K FDV.

A large number of Bots push notifications immediately:

Some Smart Money just bought XXX.

Hundreds or even thousands of users receive the message.

The first wave of copy-trading capital enters immediately.

The price starts to rise.

After the price rises, more Smart Money Scanners notice.

More users enter.

Then the influencer posts:

"Just discovered something quite interesting."

So the second wave of Twitter traffic enters.

At this point, the wallet itself has become:

A price catalyst.
 

Step 4: The team starts using the "god-level address" to funnel traffic to their own projects

This is the step that truly completes the closed loop.

The team prepares a new token in advance.

Complete:

Issuing the coin.

Token distribution.

LP.

Address preparation.

Narrative.

Then the "influencer Smart Money address" that already has hundreds of thousands or even millions of dollars in historical PnL suddenly buys.

The first wave of bot copy-trading capital enters.

The price rises.

Then the influencer tweets.

The second wave of fans enters.

Then other influencers start discussing and following.

The third wave of capital enters.

It gets on Trending.

More people see it.

The price continues to rise.

So from the outside, the whole story is:

A Smart Money discovered a Meme early.

The market gradually discovered value.

The community naturally formed consensus.

But the real situation could be completely opposite:

The token was issued by his team.

The address bought intentionally.

The first wave of rise came from copy-traders.

Twitter content was responsible for further amplification.

Finally, new liquidity absorbed the exit of early tokens.

At this point, a complete cycle is formed:

Self-issued project

↓

Own wallet buys

↓

Copy-traders enter

↓

Price rises

↓

Wallet PnL grows

↓

Meme God persona strengthens

↓

More people monitor the wallet

↓

The next project has stronger launch capability

Thus:

PnL → Followers → Liquidity → PnL

becomes a positive feedback loop.

The most dangerous thing is not Alpha, but Self-Fulfilling Alpha

The most important concept to understand about this type of model is:

Self-Fulfilling Alpha

The logic of normal Alpha is:

Because this coin will rise, he buys in advance.

The logic of Self-Fulfilling Alpha is:

Because he buys, this coin starts to rise.

When a wallet has enough copy-traders, his buying behavior itself creates demand.

So a very dangerous cycle emerges:

He buys.

Others follow.

Price rises.

His PnL looks good.

More people believe he is skilled.

Next time more people follow.

From the results:

His win rate gets higher and higher.

But this win rate no longer necessarily comes from predictive ability.

It may come from:

Market influence itself.

If the projects he buys happen to be issued by his own team, then this mechanism becomes a nearly complete liquidity machine.

So How Should Ordinary Users View This?

The most important point here is:

Do not directly conclude that a certain influencer is colluding to harvest just because a few abnormal characteristics appear.

One of the biggest mistakes in on-chain analysis is treating:

Correlation

directly as:

Causation.

Several wallets buying together does not necessarily mean collusion.

The project team transferring tokens may also have legitimate reasons.

An influencer buying early may also truly come from research ability.

So what you should really do is:

See whether the behavior repeats over the long term to form a statistically meaningful pattern.

I generally focus on four things:

WHEN: When did they buy?

Did the influencer buy before or after publicly shilling?

If over the long term there is a pattern of:

Wallet buys first → Price rises → Influencer only then publicly discusses,

it is worth tracking further.

WHERE: At what cost did they buy?

Are multiple influencers' cost ranges abnormally concentrated?

Especially in a token with extremely low liquidity and almost no discussion.

If the same group of people can consistently enter at similar cost ranges over the long term, this signal is far more important than a single trade.

WHO: Where do the tokens come from?

Were the tokens bought through normal DEX swaps?

Or directly transferred from project team addresses?

Who provided the buying funds?

Do multiple influencer wallets share the same funding source?

Do the same Deployer, Funding Wallet, LP Wallet, or Counterparty repeatedly appear across different projects?

EXIT: Who sold in the end?

This is the most important step.

Don't just look at:

How much the influencer bought.

More importantly, look at:

After the influencer's shilling brings a large amount of trading, who is continuously selling?

If during a period of rapid increase in project popularity:

Certain early addresses continuously release tokens into the market,

then it will become increasingly clear where these new buying flows ultimately went.

Truly Valuable On-Chain Investigation Is Not About One Coin, but About a Network

For a single Meme, many things can be explained as coincidence.

What is truly valuable is:

Putting dozens of projects together.

Seeing whether there is the same group of addresses.

The same group of funding sources.

The same batch of influencers.

The same set of time sequences.

The same group of market-making wallets.

The same set of shilling rhythms.

If a pattern appears repeatedly in:

10, 20, or even 50 Memes,

then it begins to form:

A behavioral fingerprint.

This is also why truly professional Meme on-chain research should not only ask:

"How much did this influencer make this time?"

But should ask:

"How was his profit generated?"

Finally

Many people think the Meme market trades tokens.

But I increasingly feel:

What the Meme market truly trades is Attention.

Project teams produce tokens.

Narratives give tokens stories.

Influencers turn stories into attention.

Attention turns into buying pressure.

Buying pressure turns into liquidity.

Finally, someone turns liquidity into real dollars.

So the entire game can ultimately be simplified to:
 

Token

↓

Narrative

↓

Influencer

↓

Attention

↓

Buying Pressure

↓

Liquidity

↓

Exit

The lowest-level play is buying the influencer's traffic.

A higher-level play is binding the influencer's interests.

Even higher is artificially creating a "million-dollar meme coin trader."

The highest level is when the influencer himself has the ability to launch projects:

Create the market himself, then use the track record he created to influence the market.

So in the future, when you see an influencer showing off:

"I bought this coin at 100K FDV."

"This trade made another 1M."

What is truly worth asking may not be:

"Why is he so skilled?"

But rather three other questions:

Why is he always so early?

Why do these projects always find him?

And most importantly:

In this chain of interests, which side is he on?