Crypto KOL Community & Market Trends

Today I want to share a story that really moved me—a wealth success story of a one-person company leveraging AI Agents to turn the tide.
I have an old friend who used to run a brick-and-mortar business, opening an authentic barbecue restaurant in Hangzhou. His skills and atmosphere were top-notch, but recently he almost had to close down. The reason was simple: several well-funded national chain restaurant giants moved into the surrounding business district.
How did these big companies fight? They spent millions annually on ranking optimization on Dianping, hired dozens of professionals to promote on Xiaohongshu, and daily did live streams and product sales on Douyin local life. Meanwhile, my friend’s small shop couldn’t afford a team for operations, design, or copywriting, and even the posters on delivery platforms were just made casually with a bean bag. Under this heavy influx of capital and manpower-driven traffic, his shop’s survival space was almost completely squeezed out, watching helplessly as his customer base dwindled.
But just last month, his shop not only revived but also saw monthly revenue multiply miraculously several times. He didn’t borrow money to boost promotion, nor did he sign up for expensive restaurant marketing courses. Instead, he used an extremely advanced money-making method—one that perfectly combines a one-person company with AI intelligent agents, which we’ve been exploring.
He employed a set of AI automation workflows, equipping himself with a super AI Chief Marketing Officer that doesn’t require a salary.
The logic of this system is simply a blow to the face. Just by inputting his barbecue shop’s name, the backend immediately deploys a dozen different AI agents, each with a specific role, like an invisible special forces team, scanning his store and all nearby competitors’ activities around the clock.
Within minutes, the AI extracts positive review keywords from Dianping competitors, dissects the most viral check-in copy structures on Xiaohongshu, and even pinpointed the core reasons for his online store’s conversion rate plummeting: dull and blurry main images, lack of trending products, pages without any real user feedback to drive conversions, and so on.
If it were just an analysis report, it would be just a common tool. What truly shocked me was its execution power as an intelligent agent.
After assessing these vulnerabilities, which caused him to lose tens of thousands of yuan in revenue each month, the AI directly started fixing them. In thirty seconds, it automatically optimized all his online display pages, not only regenerating high-definition, tempting food photos but also calling upon the latest AI video models to turn bland dish photos into sizzling, visually impactful dynamic videos with just one click.
Even more impressive, the AI doesn’t rest after finishing its work. It continuously conducts complex traffic tests in the background, adjusting delivery discounts and promotions based on the flow of customers in the surrounding business district.
In the past, those billion-dollar valuation chains relied on heavily investing in enormous digital marketing teams to crush local small restaurants. Now? The time for small business owners to fight back has arrived.
This story gave me a profound cognitive shock.
And for each of us who wants to start a lightweight business, there’s a huge money-making dividend hidden here.
You can package this methodology of using AI to takeover brick-and-mortar store marketing and turn it into the core business of your one-person company. There are millions of small offline shops in China being crushed under big capital, desperately craving traffic but unable to afford high trial-and-error costs.
You don’t need to open a store yourself and take on high risks, nor do you need to hire hundreds of employees to run operations. All you need is to master this AI workflow, become the enabler, and provide them with a blow-to-the-face weapon. With just yourself and your AI special forces, you can run a highly profitable top-tier marketing consulting firm.

Today, I want to share a story that deeply moved me—a wealth story of a one-person company using AI Agents to make a comeback.
I have an old friend who used to run a brick-and-mortar business, opening an authentic barbecue restaurant in Hangzhou. His skills and atmosphere were top-notch, but recently he almost had to close down. The reason was simple: several well-funded national chain restaurant giants moved into the surrounding business district.
How did these big companies fight back? They spent millions annually on ranking optimization on Dianping, hired dozens of professionals to promote on Xiaohongshu, and daily did live streams of local life on Douyin to drive sales. Meanwhile, my friend’s small shop couldn’t afford a team for operations, design, or copywriting, and even the posters on the delivery platforms were just casually made with Beanpaste. Under this heavy influx of capital and manpower, his shop’s survival space was almost completely squeezed out, watching helplessly as his customer base dwindled.
But just last month, his shop not only revived but also saw monthly revenue multiply miraculously several times. He didn’t borrow money to boost promotion, nor did he sign up for expensive restaurant marketing courses. Instead, he used an extremely forward-thinking money-making method—one that perfectly exemplifies the integration of a one-person company with AI intelligent agents, which we’ve been exploring.
He employed a set of AI automation workflows, equipping himself with a super AI Chief Marketing Officer that doesn’t require a salary.
The logic of this system is simply a blow to the face of traditional methods. Just by inputting his barbecue shop’s name, the backend immediately deploys a dozen different AI agents, each with a specific role, like an invisible special forces team, scanning his store and all nearby competitors’ activities around the clock.
Within minutes, the AI extracts positive review keywords from Dianping competitors, dissects the most viral check-in copy structures on Xiaohongshu, and even pinpointed the core reasons for his online store’s conversion rate plummeting: dull and blurry main images, lack of popular items for traffic, and pages lacking genuine user feedback that could drive conversions.
If it were just an analysis report, it would be just an ordinary tool. What truly shocked me was its execution power as an intelligent agent.
After assessing these vulnerabilities, which caused him to lose tens of thousands of yuan in revenue each month, the AI directly began fixing them. In thirty seconds, it automatically optimized all his online display pages, not only regenerating high-definition, tempting food photos but also calling upon the latest AI video models to turn bland dish photos into sizzling, oil-dripping, visually impactful dynamic videos.
Even more impressive, the AI doesn’t rest after finishing its work. It continuously conducts various complex traffic tests in the background, adjusting delivery discounts and strategies based on the flow of customers in the surrounding business district.
In the past, those billion-dollar valuation big chain companies relied on heavily investing in enormous digital marketing teams to crush local small restaurant owners. Now? The time for small shop owners to fight back has arrived.
This story gave me a profound cognitive shock.
And for each of us who wants to start a lightweight business, there’s a huge money-making dividend hidden here.
You can package this methodology of using AI to takeover brick-and-mortar store marketing and turn it into your core business for a one-person company. There are millions of small offline stores in China being pressed down by big capital, desperately craving traffic but unable to afford high trial-and-error costs.
You don’t need to open a store yourself and take on high risks, nor hire hundreds of employees to run the business. All you need is to master this AI workflow, become the enabler, and provide them with a blow-to-the-face weapon. With just yourself and your AI special forces, you can run a high-profit top-tier marketing consulting firm.

Rich people won't travel during the May Day holiday.
Poor workers scrimp and save,
then go out during the May Day holiday to blow through their savings from the first half of the year.
During the National Day holiday, they go out again to spend the second half of the year's savings.
Come New Year, they go back home and blow through their year-end bonuses.
They can never save up the original capital.
Go out to check in at the same old tourist spots,
stay in budget hotels costing 200 a night,
buy 30-yuan skewers of duck meat disguised as beef.
Originally, this money could be spent on more fun during normal times.
Taking a 3-day leave once a year isn't hard,
plus weekends, that’s 5 days.
But for oxen and horses,
they can't help but follow the crowd.
And then capital and merchants count on you,
raising prices by 30%-90%.
The poorer you are, the easier it is to fall into these consumption traps.

Bitcoin 2026 Conference, Las Vegas.

The big shot from the White House Digital Asset Advisory Committee, Patrick Witt, took the stage and confidently said:

"Significant breakthroughs in Bitcoin strategic reserves within weeks."

The president's executive order has been signed, the legal framework is in progress, protecting Bitcoin on the government’s balance sheet—sounds impressive.

At the same time, Michael Saylor spent another $2.5 billion to buy BTC, pushing his holdings over 815k coins. He now calls it “the eve of a large-scale supply shock.”

The government says it’s stockpiling, and companies are really stockpiling.

Sounds like a bullish script, right?
The question is: how high is the ceiling for the narrative supported by the executive order?

Take a close look at Witt’s original words—

“Legal framework argument is underway,” “Supporting mechanisms require legal interpretation.”

In plain language, it means:

The president signed a document, but the people below haven’t figured out how to implement it yet.

If the ARMA bill can’t be pushed through during the May window, then this so-called “Bitcoin strategic reserve” can only stay as:

- Don’t sell the confiscated Bitcoin

- Leave it there as decoration

- No new purchase rights

- No legal confirmation

- The next president can change it at will

A reserve supported solely by an executive order is like a skyscraper without a foundation—looks tall, but sways in the wind.

The executive order gives face; the ARMA bill gives substance. Without substance, that superficial shine won’t last long.

The current script is very clear:

- The government expects to tighten the net

- Companies are buying with real money

- On-chain circulation and supply are indeed tightening

- But the biggest variable isn’t whether miners sell or not, or whether Saylor buys or not

It’s whether Congress will give it legal status.

If the May window passes without the ARMA bill being scheduled, then the so-called “Bitcoin strategic reserve” becomes:

A presidential campaign slogan, repackaged as policy.

Bitcoin reserves without legal confirmation are no different from a pinned tweet.

May will be that mirror—exposing whether the reserve is truly strategic or just show. #美联储利率不变但内部分歧加剧 $BTC

Even tea leaves have classes; what’s wrong with Hu Chenfeng dividing humanity into Apple people and Android people?

OKX has always given me the impression of being dedicated to changing the ecosystem through technology and promoting industry progress. This time, in collaboration with over 30 partners including AWS, Alibaba Cloud, Ethereum, and Solana, they launched the Agent Payments Protocol, truly solving payment, settlement, and dispute issues for AI Agents. The open protocol makes it directly usable by the ecosystem. Providing key infrastructure for the Agent economy, the implementation feels highly tangible! Thumbs up for OKX 👍

【CZ Autobiography 008 | Fifty Thousand Annual Salary, Mars Colony, Made Me Understand CZ, and Also Questioned Myself】
How much is Elon Musk's annual salary from SpaceX?
$54,080.
When I saw this number, I thought I read it wrong.
A person worth three hundred billion, with an annual salary just over fifty thousand.
Less than a newly graduated junior programmer in the Bay Area.
But the more outrageous condition is the one that follows, SpaceX

While we mock our parents for missing the boat on property and the internet, we stand at the doorstep of the AI era, repeatedly caught up in indecision—afraid, looking for excuses. History really does repeat itself; this time, we’re the ones who become “parents.”

The current Persian Gulf is staging a scene of "calm madness."

Don't expect to see a "peace agreement" when you wake up tomorrow morning. It no longer exists. Trump has already put "long-term blockade of Hormuz" on the table. Iran holds a gun in hand, shouting about "unprecedented" retaliation.

In the strait, the daily passing ships have dropped from 130 to 7. This isn't war; it's "economic thrombosis." Oil prices have risen above $110, and insurance companies whisper in your ear: want to pass? First pay a "toll" of 1.5% of the ship's value.

When "geopolitical risk hedging" meets "high inflation and rate hikes," where does Bitcoin stand?

Many people's script is: conflict -> buy BTC -> hedge -> get rich quick.

But the real script is: conflict -> oil prices surge -> inflation explodes -> Fed dares not cut rates -> 10-year U.S. Treasury yields break 4.5% -> Bitcoin is pressed to the ground and rubbed.

Your proud "digital gold" is temporarily just a high-risk Nasdaq "follower" in front of the Hormuz chains.

WTI surges to 110 like a runaway dog, gold rises then falls back, while BTC is half-dead at $75,700, with a funding rate actually negative.

The market doesn't see this as "hedging"; it sees it as "stagflation."

In the face of this "stagflation" devil, cash is king, energy is king, and risk assets—sorry—you are just a "liquid asset" used to exchange for money and pay for oil.

U.S. Treasuries offer a "risk-free return" of 5%. Why would anyone hold a highly volatile Bitcoin to bet on "anti-inflation"?

The current crypto market is caught in an extremely awkward "gap":

1. You say it's a safe haven asset? The VIX fear index is still low, people aren't panicking—they're "doing the math."

2. You say it's an anti-inflation asset? The most direct tools against inflation are crude oil, energy stocks, or even U.S. Treasuries. Bitcoin? At oil prices of $110, its mining costs have already gone up first.

3. The only way out: only when this blockade continues until the "fiat credit system" cracks completely—say, Middle Eastern tycoons truly dare not hold dollars anymore—Bitcoin will have an independent "sovereign premium."

But for now, it's still too early. #美联储利率不变但内部分歧加剧 $BTC

On April 30, the Federal Reserve held an interest rate decision: 12 voting members, 4 opposed.

One said the rate cut should happen immediately—by 25 basis points.

Three said, “You don’t have to cut, but don’t present in your statement as if you’re going to cut.”

Investment banks all thought the word “further” would be removed, but it wasn’t.

This was Powell’s last meeting as chair—he stubbornly pressed down the “dovish” coffin lid.

But these 4 dissenting votes are not opposing the rate; they’re opposing the man himself.

Powell is truly a lone wolf this time.

Governor Milan—calling for a rate cut publicly for the second consecutive meeting.

Three regional Fed presidents—don’t oppose the rate itself; what they oppose is, “Powell, what are you pretending for?”

You need to understand: the “division” within the Federal Reserve began as far back as July 2025.

2 votes against on October 2, more in December—now it’s directly 4 votes.

This isn’t a technical disagreement; it’s a collective showdown before power changes hands.

All the materials point to one name: Wush.

Wush becomes Fed Chair on May 15.

What did he say at the hearing?

“[A] chaotic meeting,” “internal struggles.”

He isn’t describing problems—he’s laying the groundwork for justifying a purge.

You’re stirring trouble, huh? Fine—I’ll wrap things up.

Wush isn’t Powell 2.0. He’s the Fed’s version of “cleaning up the workplace.”

His past stance does indeed fall into the category of “supporting rate cuts.”

But the thing is—he doesn’t need to discuss it with anyone.

These 4 dissenting votes give him a perfect excuse:

“Look, everything’s in chaos internally—someone has to unify the route.”

His first statement after taking office won’t be a signal for rate cuts; it will be a “demonstration of power.”

How does he demonstrate it?

First, go hawkish hard, and crush everyone’s expectations of rate cuts.**

Once the market has accepted it, then slowly let them off—one by one.

That’s not “pigeons.” That’s **dog-walking**.

What does this mean for the crypto market?

In the short term: bearish.

Because the market will price in: “Wush takes over = the chaos ends = no rush to cut rates.”

In the medium term: extremely bullish.

Because once he settles internal issues, the policy path will become as clear as a highway*—a nuclear-level positive for risk assets.

But the premise is: you have to live long enough to reach that point. #美联储利率不变但内部分歧加剧 $BTC

Trump originally was not optimistic about prediction markets, thinking they would turn the United States into a casino, but now he has changed.
Because others are already doing it, if the U.S. doesn't keep up, it will be left out in the cold and lose competitiveness.
The ambitious Trump seems to be planning to vigorously develop prediction markets in the future!

I’ve never told anyone about this. Do you think that in this world there’s only one kind of humanoid living being—humans and gorillas?
Actually, that’s not true!!!
When I was in my teens, I went up the mountain to chop firewood. Deep in the mountain wilderness, almost nobody ever went there. When I came down the mountain in the afternoon, I saw a humanoid creature not far away—except its front had long hair, and its back had short hair. It had four legs and two arms: its two hands and two feet in the front were on the ground, and its two feet in the back were on the ground. Its waist was connected to itself, and it made strange sounds. That was a conjoined person!
It scared me so badly that I hurried down the mountain, and for all these years I haven’t dared to tell anyone.

CRASH: Bitcoin breaks below $75,000, as the FED holds rates.#WCTCTradingKingPK #DailyPolymarketHotspot

Your stable assets can also do more than just sit idle. 💸 The BMUSD yield product is now live, turning "idle funds" into a starting point for continuous cash flow. 🔥 An annualized 6.50%, steadily accumulating returns without chasing hot trends. 🔥 Zero transaction fees, reducing losses is another way to make money. 🔥 T+0 flexible access, funds available at any time without being locked up. 🔥 Safe and stable · Principal guaranteed, more suitable for long-term investment strategies.

🔥 May Day Celebration Week! Gin Exchange gives you 10U holiday bonus! 🎉 Where to go for the holiday? Why not come to Gin and claim a red envelope! 🚀 April 29 - May 6, Gin Exchange's exclusive benefits for new users are coming! No threshold to join, real USDT directly sent! 💰 Event reward: 10U real USDT (can be withdrawn directly!) 📅 Event duration: April 29, 2026 - May 6, 2026 🔥 Very simple 3-step claim: 1️⃣

$ETH Trade Setup (15m/1h)
• Bias: Bearish below $2,300.
• Entry: Sell on a retest of $2,285–$2,300 or breakdown below $2,260.
• Targets: $2,230 (Primary), $2,150 (Liquidation Zone).
• Stop Loss: Above $2,320 (recent resistance).
• Analysis: The "Triple Top" at $2,400 and Genesis wallet deposits are fueling sell pressure. RSI suggests temporary oversold bounce, but macro trend remains down.
#WCTCTradingKingPK #CryptoMarketsDipSlightly

$ZIG quietly doing what most charts wish they could.
Breakout.
Retest.
Volume stepping in.
Meanwhile the fundamentals keep stacking:
ZIGChain → EVM
ZIGMarkets → AI yield layer
Institutions everywhere at the summit.
Feels like the RWA narrative is waking up… and $ZIG is right in the middle of it. 🚀

How to make money writing books with AI?
Let me share a recent real case I saw, the main character is a 19-year-old American kid.
He showed us a screenshot from the Amazon backend, with a monthly income of $34,917, roughly 250k RMB.
This kid is only a freshman in college, and in less than 8 months, he quietly published over 100 books using 7 pen names. The most incredible part is, he didn't write a single word himself, all generated by AI.
Why is he able to earn this money?
He leveraged Amazon's KDP self-publishing platform. The logic of this platform is very straightforward: you are responsible for uploading content and covers, Amazon handles all the rest.
For each physical book sold, Amazon deducts printing costs and a 30% commission, leaving 70% as your royalties. The clever part is, he doesn't focus on long novels; he specializes in low-content books.
What are low-content books?
For example, schedules tailored for people with ADHD, caregiver logs for specific professions, or even small diaries for pets. These items are in high demand in Western markets; people buy them to record and use.
AI in this scenario is like a dimensionality reduction attack. He uses Claude 3.5 to set frameworks, GPT-4o to generate content, and Midjourney to create covers. What used to take a professional team half a month, he can now produce in just a few minutes.
Why can't others imitate this?
Actually, there's a very subtle technical threshold involved. He mentioned a 0.625-inch margin rule.
Many beginners excitedly generate a bunch of content with AI and upload it directly, only to have it all rejected. Because AI doesn't understand printing, if the inner margin isn't reserved properly, the printed text will be cut off or the book won't open properly.
This kid wins not only because he understands AI but also because he knows the standards of the publishing industry.
Amazon has already sensed this mass AI production. According to internal sources, policies will be significantly tightened by January 2027.
In China, platforms like Tomato Novel, Qimao Novel, Qidian, and WeChat Reading support AI-assisted creation, earning money through daily updates, reading rewards, and signing bonuses based on views and tips.
Free reading platforms rely on ad revenue and paid chapters. After signing, there are guaranteed minimums plus revenue sharing. Actual tests show monthly income of 4,000 to 5,000 RMB.