200 models, one entry point: DGrid wants to be AI’s cashier
The last time I wrote about DGAI, it had just risen 400% In that piece, I said one thing: it depends on whether the product can keep up This time I took a serious look at it @DGrid AI The thing it does isn’t complicated It puts more than 200 AI models on one platform You don’t have to choose which one to use yourself; it has a feature called Smart Router that automatically helps you pick a suitable one based on your task, your budget, and your speed requirements There’s one detail I think is worth mentioning DGrid started charging before it issued its token The latest official data says there are more than 20,000 paying users, and revenue has exceeded 30 million US dollars Most AI + crypto projects issue a token first and then slowly build the product
With the market looking this rough, I specifically went to check HYPE’s chart. Bitcoin is down more than 6%, but HYPE is basically flat, even slightly in the green. Holding up in a falling market is a signal in itself—it means some investors aren’t willing to leave.
69.5 is its 30-day low. On the 4-hour chart, it has tested this level three times, and each time it bounced back. The buying support here is clear; this isn’t some arbitrary support line.
Of course, to be honest, it’s still down more than 8% this week, and the price is below the 20-day moving average at 79.8. It’s too early to call this a trend reversal. For now, I’m looking at a rebound, not the start of a new major uptrend.
The plan is simple: as long as it holds 69.5, there’s room to move higher. The first target is the 7-day moving average at 73.8, followed by 79.8. If it breaks below 69.5, admit the call was wrong and exit. When market sentiment collapses, the asset that gets back on its feet first is often the one that holds up best. $HYPE
The bond market reopened yesterday This is the test I mentioned the day before yesterday: the 10-year yield closed at 5.102%, up for four straight days and at its highest since late October Two-year yields rose around 30 basis points in two days, their fastest climb since March 2023 But the S&P fell just 0.35%, and the Nasdaq fell 0.39% A lot of people say the market handled it well. I don't quite see it that way The S&P was down nearly 1% at one point in early trading The Russell 2000 fell 1.66%, and the equal-weighted S&P fell 0.88% The indexes that held up were propped up by a handful of mega-cap stocks—not the broader market
This move in rates wasn't all about CPI The bond market was closed Wednesday, so two days' worth of adjustments were crammed into one Brent rose another 3.3%, closing at $95.82 The 30-year Treasury auction also looked weak A 25-basis-point hike in December is now almost fully priced in. Nvidia is another story The board announced that Jensen Huang was stepping down, with the CFO serving as interim CEO The stock closed at $166.19, after falling as low as $148.80 intraday. But AMD rose 5.9% that same day, and Broadcom gained 5.5% Cisco beat expectations after the close and raised its full-year guidance Applied Materials' revenue was up 53% year over year, and it also raised its guidance. So I don't think AI demand fell apart in a single day What broke were valuations and positioning Money is rotating within the AI sector, not leaving AI
PPI is out tonight at 22:30—the second half of this test The monthly forecast has dropped from 1.3% to 0.4%, but the low base could mean the annual rate actually rises from 6.3% to 6.6% The headline could look scary; I'm watching core and services. Two-year yields have risen so sharply over the past two days partly because of a catch-up move after the market reopened If core PPI merely meets expectations tonight, yields may not necessarily keep rising For another round of valuation sell-offs, we'd need to see core come in hotter than expected Futures edged higher this morning, with Nasdaq futures up around 0.6%. But before PPI comes out tonight, I don't think this small rebound should be taken seriously #美股财报季 #黄仁勋
$PEPE Down 14% in a day That rally from a few days ago has completely retraced overnight That’s how meme coins are—they rise fast and fall fast But it’s still above the 50-day moving average, so it hasn’t completely broken down If it can hold 0.0000045, there’s still room to play If it can’t, don’t stubbornly hold on
$ZEC Now 984 Down about 25% over the past 7 days, and hit a nearly two-month low of 951 this morning Trading volume was about 206 million USDT, higher than SOL
I don't really like this price-volume action. The volume is so high, yet the price is breaking down—not what a healthy shakeout looks like. First, let's see if it can get back above 1000–1036. If it falls below 951, I'll wait and see.
AI computing power has been back in the conversation these past couple of days. Not because of Nvidia, but because someone wants to provide computing power through mining.
The logic sounds pretty straightforward. Mining used to make GPUs calculate meaningless hashes, burning electricity on idle work. Now the idea is to use them for AI matrix operations and inference. Miners get rewards, AI gets computing power—it seems like both sides win.
I’m on board with this direction. Computing power is expensive, and there really are a lot of idle GPUs. Putting mining hardware to work on something useful is better than simply burning electricity.
But there’s one question I keep coming back to: Being useful and being used are two different things.
A GPU can run inference, but if nobody places an order or pays for it, then essentially, that computing power is still just mining coins—it’s only been given a new name. Some research has already raised doubts, suggesting that much of the computing power on a number of these early networks went toward tasks nobody needed.
So when I look at this sector, I don’t focus on how much computing power it has. I look at demand. Are there real AI teams willing to pay for this computing power? Can it be cheaper than cloud providers, while still offering comparable reliability? What share of miners’ income comes from paid usage, and how much still relies on newly issued token subsidies?
There’s another point that’s easy to overlook. These projects often have very little circulating supply early on, with tokens gradually released through mining later. Miners have electricity bills and hardware costs, so they have a reason to sell every day. Without real revenue to absorb that supply, the token price can only be propped up by new stories.
My take is this: Mining for AI computing power is the right direction, but for now, most projects are still at the storytelling stage. The sector will only be truly up and running once revenue from paid orders exceeds token issuance subsidies.
Today is Veterans Day in the U.S. U.S. stocks are trading as usual, but the bond market is closed all day You can buy stocks, but there are no cash Treasury quotes On a day like this, it's easy to read any move as a trend
Yesterday, CPI rose 0.4% month over month, above expectations of 0.3% Core inflation has been at 0.3% for three consecutive months The 10-year Treasury yield briefly climbed back above 5% The odds of a 25-basis-point rate hike in December rose to about 91% Fed Governor Waller also said that if core inflation stays around 0.3%, he would consider a 50-basis-point hike
Everyone in the market is writing A rate hike is coming
But this report actually has no year-over-year comparison; the government shutdown last year left the data incomplete And yesterday's 0.74% drop in the Nasdaq wasn't caused by inflation alone Nvidia itself fell about 5.5%, dragging the index down with it
What I care more about is something else Is the market derating, or are earnings estimates being revised down? BofA's take on last week's correction was that it was a derating, not a cut to earnings expectations A derating can be followed by a recovery; downward earnings revisions are what change the trend
CoreWeave's third-quarter report after the bell is a good test case Revenue was $3.66B, above expectations of $3.55B Backlog rose from $104B in June to $132.5B; the orders are still there But interest expense has already reached $846M, more than its $207M in operating profit Yields on some bonds exceed 16% The CFO said that at current yields, the company won't issue any more unsecured debt at the parent-company level before 2027
So the question is no longer whether AI demand exists It's who will pay for expansion when interest rates are near 5%
With the bond market closed today, don't take the intraday bounce at face value Wait for the bond market to reopen Thursday, then watch Friday night's PPI at 22:30 We'll have a clearer picture over the next two days of whether earnings expectations are being revised down Hope we can make it through this winter!!! #美股财报季来袭
The biggest thing to watch today is CoreWeave's earnings
This earnings season has made one thing clear: AI no longer gets a free pass just because companies are spending money
Big tech plans to pour hundreds of billions into it next year, and the market is already asking: when will that money start paying off? One negative cash-flow report and a stock gets hammered—Alphabet is a case in point
CoreWeave is the most extreme example
Revenue is expected to reach $3.5 billion, a pretty impressive jump, but interest costs are already nearing $900 million a quarter. Financing is getting more and more expensive, and the stock has fallen sharply from its peak
Results are out after the close today. There are two things to watch: can all those orders turn into actual revenue? And can growth outpace interest costs?
The results should make it clear whether AI infrastructure is still holding up. Nvidia will put it to the test again next week.
Put simply, investors used to buy anything with AI in its name. Now companies have to prove they can actually make money. It starts with CoreWeave today
I haven’t made any moves for now as U.S. stocks have pulled back this round.
It’s not that I don’t care about my account. I just haven’t found a good enough reason to either add to or reduce my positions yet.
Last Thursday, the Nasdaq fell 5.5%. At this level, explaining it away with “the AI bubble has burst” feels a little too convenient to me. Interest rates, earnings expectations, and the positions that had piled into tech stocks may all be playing a part.
First, I’ll be watching CPI this week. If inflation doesn’t come down, it’ll be hard for the market to keep comfortably assigning high valuations to tech stocks. Companies can still be growing, but that doesn’t necessarily mean their share prices should rise. If you bought in too expensively before, that still needs to be worked through.
I’ll also be keeping an eye on CoreWeave’s earnings. But more than how many big new orders it has signed, I want to know how much money it can actually keep from those orders. It has to build data centers, buy equipment, and pay interest. Strong AI demand and what this business is worth are two different things.
So I’m not rushing to buy the dip this time. A drop doesn’t necessarily mean a stock is cheap; I also need to see whether future earnings are shrinking.
If it’s just the valuation coming down and earnings are still on track, I’d be more inclined to consider adding to my position. If expectations for making money have changed too, I can’t just sit around hoping the price will recover.
JCT took off today, leading the pack in both gains and trading volume. It looks like the strongest performer.
WASTED ranked first in search interest, and its price surged along with it. DACITY wasn’t far behind either. Together, the three have brought small-cap coins back to life.
Things look exciting at times like this, and it’s hard not to feel tempted—but before jumping in, it’s still worth taking another look. Have any of you been keeping an eye on these today? $JCT
Waiting for Berkshire’s Q3 earnings report to come out
Honestly, I’m only watching two numbers now: operating earnings and cash.
Total net income fluctuates too much. Investment gains and losses can swing by hundreds of millions or even billions in an instant, so it doesn’t mean much.
If operating earnings hold steady or edge up, that means the insurance, railroad, and energy businesses underneath are still making money as usual. If they drop significantly, then that’s a real problem.
Cash matters even more.
At the end of last quarter, it was around $360 billion. This quarter, they’ve already spent some on buying Taylor Morrison and on share buybacks.
If cash keeps falling, it means Greg Abel is starting to make real moves. If it piles back up again, then it’s business as usual:
Lots of money, but nowhere cheap enough to put it.
Once the numbers are out, I’ll just look at those two. No need to rush to conclusions about anything else.
Honestly, watching U.S. stocks last night was pretty unsettling.
The Nasdaq plunged more than 5%, and chip stocks were even worse—the Philadelphia Semiconductor Index was down 12%.
The main reason can be summed up in one sentence: after Democrats swept the midterm elections, the market suddenly panicked. Maybe data centers won’t be so easy to build after all. In places like Texas, a change in local leadership could matter. Some people there already complain about high electricity bills and disruption, and now that the narrative has shifted, the stories that justified all that frenzied capacity expansion don’t hold up so well. On top of that, the AI trade was already extremely crowded, so the slightest hint of trouble sent investors rushing for the exits.
Personally, I think this wave of selling has been a bit too emotional. Data center construction will definitely slow down and get more difficult, but I don’t believe it’ll stop altogether or be completely shut down. The U.S. isn’t going to be foolish enough to cripple its own competitiveness in computing. What’s really getting hit is the premium on expectations that companies would spend without limit to build all this out. When a crowded trade unwinds, it can fall this fast.
Chinese A-shares are holding up pretty well by comparison. They even edged up yesterday, with areas like solar being quite active. It shows that domestic investors haven’t gone completely crazy along with U.S. stocks—they’re still finding their own rhythm.
My personal take is: this doesn’t mean AI is over. It’s the part of the rally that had been going too smoothly, with a story that seemed too perfect, getting forcibly knocked back down. The opportunity now isn’t to bet on an immediate reversal, nor is it to be bearish at all costs. For chips with real demand and strong competitive moats, if things are just slowing down rather than going to zero, a pullback could actually make valuations more reasonable. The ones relying purely on the data center buildout story are much riskier. If things overseas keep getting messy, relatively independent areas like new energy might feel more comfortable on the A-share side.
Don’t rush to buy the dip, and don’t scare yourself either. First, watch whether the states actually approve projects and whether companies make real cuts to capital spending. That matters more than the headlines, right? There’ll definitely be more volatility, but the most important thing now is to reassess the most crowded parts of the market. Hang in there 😭😭😭 #美股财报季来袭
The Dow rose 3% yesterday, up 1,569 points—its biggest one-day gain in 19 months. Sounds like earnings season deserves the credit.
It doesn’t.
What drove the day wasn’t any company’s numbers. It was the election.
The Democrats took both chambers, expectations of a trade war eased, and oil prices fell 8% in a single day. Apple, buoyed by hopes of a thaw in China and global business conditions, surged past $350, pushing its market cap above $5 trillion. As for earnings themselves? The real action came after the bell. —— AppLovin It’s down 60% this year, and even missed estimates last quarter. Then last night, its Q3 results came out: revenue of $2.18 billion, up 55% year over year, and net income up 72%. Shares jumped 23% after hours. The CEO opened with: Last quarter was our own mistake.
“Admit the mistake + back it up with numbers”—that’s a combination the market loves. Qualcomm was the exact opposite. Its Q4 numbers beat expectations, and automotive chip revenue was up 89% year over year, but higher memory prices ate into profits on the mobile side, and its guidance came in below expectations. Shares fell 7% after hours. I broke down that memory supply chain in my pieces on Apple and Intel. That same thorn has now dug into Qualcomm.
—— As I’ve followed this earnings season, one thing has become increasingly clear to me: The market isn’t pricing in numbers. It’s pricing in shifts in the narrative. Apple beat expectations, then fell—the story of memory costs squeezing margins outweighed the numbers. Then the election happened, and Apple immediately hit a new high—the story of trade easing overshadowed memory costs. Same company, three days, and the logic behind its valuation completely flipped. Palantir’s revenue nearly doubled, yet its stock still fell.
Slowing growth in new contract signings—the phrase “AI growth has peaked” outweighed the quarterly report. AppLovin bounced back after being cut in half this year.
“Learning from mistakes + accelerating again” outweighed last quarter’s miss. Numbers are the ammunition; the narrative determines where the gun is pointed.
The most important skill to practice this earnings season isn’t reading financial statements. It’s listening for the story the market is telling. These are just my personal observations. For data, refer to each company’s official earnings reports. This is not investment advice.
I was scrolling all night last night. I was feeling pretty okay at the close. Nasdaq +0.83%, tech stocks finally stopped falling. Then an hour after the market closed, everything flipped. Ossoff held Georgia, and Cooper flipped North Carolina. Kalshi had the House at 97% and the Senate at 90%. Nasdaq futures dropped 1.6% just like that. Things flipped way too fast.
//
The House turning blue was already priced in before the election. No one was surprised. What the market was really digesting last night was the Senate. With both chambers in hand, the legislative path is wide open: data center restrictions, AI regulation, tax hikes—things that used to get blocked in the Senate now have a chance to make it through. AMD's earnings last night were clearly a blowout. It jumped by double digits after hours, but the broader market dragged it back down, leaving it up just 4%. This move completely threw me. This isn't an AMD problem. The policy outlook for the entire AI sector was rewritten in an hour. Solar stocks were climbing, though. The Invesco Solar ETF was up 3.5% after hours. Money doesn't lie.
Who benefits and who loses was clear in a single night—the big Bitcoin dropped below 77,000. Crypto rallied after the 2024 election on expectations of a Republican-friendly administration: the CLARITY Act, looser regulation, and a change in the SEC's stance. It was all riding on that expectation. Now it has to be discounted. A 2% drop isn't much. But if the Senate really does flip, there's more downside to come. My take: after-hours moves on election night are an overreaction seven or eight times out of ten. The votes are still being counted, and many states haven't finished reporting. But this time, there's one variable that's different from past years: AI, AI, AI. Past election upsets affected regulatory expectations for traditional industries. This time, it hit the most crowded trade of the past two years directly. If it's confirmed today that both chambers have flipped blue, tech stocks will have to reprice policy risk all over again. The fundamentals haven't deteriorated. But the policy tailwinds we used to take for granted may not continue. No wonder I couldn't sleep last night. #美股财报季来袭
I didn’t pay much attention to revenue in the earnings reports from four Big Tech companies last Thursday. I focused on cash flow.
Google, Amazon, Meta, and Microsoft spent a combined $207 billion on capital expenditures in Q3. A year ago, it was $113 billion. Almost double.
All that spending is putting cash flow under pressure.
Google’s free cash flow was -$9.1 billion. Its stock fell 13% in a single day, its biggest drop since going public. Amazon’s was -$33.5 billion. AWS was still growing at 39%, yet the stock fell 7% anyway. Meta’s was -$2.1 billion—the first time it has burned cash since 2012.
Only Microsoft was in the black, at +$18.6 billion. Azure grew 48%, and the stock barely moved.
The four companies lost nearly $900 billion in combined market value.
I think the market’s standards have changed. In the past, just saying you were investing in AI was enough to make your stock go up. Now you have to prove that the investment can pay for itself.
There was another detail from Microsoft. It said it hadn’t spent all of its capital expenditure budget because deliveries of third-party GPUs were delayed. As soon as that came out, compute-rental stocks like CoreWeave, Nebius, and IREN fell too. When the big players spend a little less, the companies downstream feel the pain first.
I’m an independent developer, so I’m especially sensitive to costs. If API prices go up a little or I need one more server, I have to calculate how long it’ll take to break even. The big companies are working with the same logic—just with a few more zeros.
The demand for AI is real. I don’t doubt that. What I do doubt is how long it’ll take to recoup the investment. Capital expenditure has doubled in a year. We’ll see next quarter whether revenue can keep up.
Which company do you think will be the first to slow down its capital spending?
My calendar is packed with earnings reports this week 👇
On the morning of 11/3, I’m starting with Apple and Palantir. Palantir set its Q3 revenue guidance at $2.16 billion, after posting 93% growth last quarter. Its valuation is already so high—I want to see if it can hold up this time.
On the morning of 11/4, it’s AMD, the one I’m most eager to watch. Its Q3 revenue guidance is around $13 billion (give or take $300 million). After cloud providers poured in so much money last week, this is the first time we’ll hear from the chip seller’s side on whether demand is really there. SMCI and Arista report the same day.
On 11/4–11/5, it’s Circle, Arm, and Qualcomm. Honestly, Circle is the company I’m most interested in. I build products on-chain myself, and I really want to see whether stablecoin issuers’ revenue can convince Wall Street.
On the evening of 11/6, we also get U.S. October nonfarm payrolls.
Last week, cloud providers’ free cash flow gave the market quite a scare. This week, I’m watching one thing: can the chip sellers turn sentiment around?
Are you betting AMD will beat expectations, or that its valuation will keep getting crushed? #美股财报季来袭
Apple reports after the market closes tomorrow. This week, I’ve already looked at Amazon, Alphabet, and Intel. Each one is being picked apart over AI-related costs. Apple is the fourth.
And the only one Wall Street thinks won’t run into trouble. Options imply just ±4% volatility. The first three moved 7%, 13%, and nearly 30% after hours, respectively. I’m not so sure.
I covered the memory angle in my Intel breakdown: memory makers are allocating their best capacity to AI chips, driving up prices for PCs as shipments collapse. That same supply chain isn’t hitting PCs alone.
Apple has said it itself: higher memory chip prices are weighing on iPhone gross margins. Its gross margin guidance is 47%–48%, including about 1 percentage point from tariff refunds. Strip that out, and margins are actually heading down.
The quarter’s numbers will probably be fine. Revenue of around $113 billion, EPS of about $1.98, up 7% year over year. Apple rarely misses by much. But this isn’t the quarter I’m watching. I’m watching two things.
First, its holiday-quarter guidance. At Apple’s last earnings report, the quarter was in the bag, but its guidance disappointed the market, and the stock fell anyway. This time, John Ternus is taking the lead for the first time. He comes from a hardware background, not the supply-chain operator mold of Tim Cook. How he frames the holiday quarter will determine the after-hours direction.
The other thing is what they say about costs. If he says memory supply is easing, ±4% may be enough. If he says things are still tight, then ±4% may not be enough.
Among this week’s four giants, Amazon is betting customers will still be renewing in 2027, Alphabet is watching how quickly AI eats into Search profits, and Intel is burning at both ends. Apple looks the safest. But “safest” doesn’t mean there’s no hidden risk. Rising memory prices don’t just hit PCs; they hit phones, too. It just hasn’t shown up in Apple’s after-hours share price yet. See you tomorrow. Data is based on Apple’s official earnings report. These are my personal observations ahead of the report, not investment advice. #美股财报季
Intel fell nearly 30% on Friday Data center revenue rose 78%, PC revenue fell 5%, and next quarter it’s expected to fall by more than 20%
The 30% drop is just the surface. Two numbers from the same company moving in completely opposite directions—that’s the split I want to unpack
It comes down to memory AI has snapped up high-end memory capacity, leaving too little for PCs. Computer prices are rising, and shipments have collapsed The CEO calls it an “unprecedented memory crisis”; the CFO says supply will remain tight through 2028
Intel is caught on both sides. Data centers are making money from AI, while AI is indirectly crushing its PC business. The profitable side isn’t big enough yet to fill the hole
The company has already shifted factory capacity from PC chips to server chips I can understand why But it’s basically telling the market outright that there’s no short-term fix for PCs
The market spent a year treating Intel as a turnaround story, and the stock rose 150%. This time, reality is setting the score The turnaround is underway, but the old business is collapsing first
My take: the winners and losers from AI can be the same company That’s Intel this quarter One hand is breaking records, the other is caving in Data centers are accelerating—no problem there. But the PC winter could last through the end of 2027, and that’s a sizable hole Whether Intel can weather it depends on whether its pace of making money can catch up with its pace of losses
Figures are based on Intel’s official earnings report and do not constitute investment advice. DYOR. #美股财报季
Amazon fell 7% after hours Alphabet fell 13% the day before Same conclusion: AI is too expensive
But I spotted another line in the earnings report This quarter, Meta and OpenAI signed AWS contracts
The people building AI are accelerating their purchases of computing power The stock market is dumping the companies selling it Those two groups are on different clocks The market looks at quarters; customers look to 2027
——
AWS: $46 billion, +39%, fastest growth in nearly five years Operating margin: 13.9%, a record high A company spending $220 billion a year on capex is still setting margin records The money is going out—and coming back in
Compare that with Alphabet Google Cloud doubled, but search ad revenue was up just 10.5%, and profit fell 25%
Google is spending money to build AI, while AI is eating into its most profitable business
Amazon’s picture is much cleaner It’s simply the landlord. Tenants are expanding their leases, and the landlord’s own legacy business isn’t threatened by them
That difference isn’t reflected in the stock price yet
——
Free cash flow: -$42.4 billion. Jassy said 2027 capex would be “significantly higher” The pressure is real The market expects to see cash flow return, and that’s completely reasonable
But there are two kinds of inflection points Demand peaks, money gets spent, and nobody pays—that’s a real problem Demand accelerates, contracts get signed, and it just takes time for cash flow to turn positive—that’s another story
AWS at 39%, major customers signing contracts, margins at a record high All point to the latter
Who’s making the better call: the stock market or AWS’s customers? One side will be proven wrong. If AWS drops below 30% next quarter, I’ll take back everything I’ve said
Figures are based on official earnings reports. This is not investment advice. DYOR. #美股财报季
I came to Binance Square in 2023. Back then, I didn’t know who I was writing for. I just felt that once I finished researching a protocol or breaking down a tool, if I didn’t write it down, I’d forget. So I wrote it and posted it. Even if no one read it, I still posted it. Before, it was basically just syncing content from X. Now, I mostly post independently.
There are all kinds of people on the Square. There are people shilling coins, people posting news, and people who publish three headline-style posts a day. I’m not saying they’re bad; I just can’t do that. My writing is slow. A long article often takes me an entire day. If it’s a coin I’m personally interested in, I’ll research it and write something up.
Check data, read the docs, run through the product once, think it through, then start writing. Sometimes halfway through, I realize I was wrong, delete everything, and start over.
Honestly, the Square is the most friendly place for long-form content that I’ve ever seen. On other platforms, once you write more than 500 words, nobody reads it. Algorithms only push short, fast, and sensational content. The Square is different. A 3,000-word deep dive, as long as it’s solidly written, really does get read from start to finish, and people will even seriously discuss it with you in the comments.
The creator system is practical too. It’s not just a nice-looking label. After verification, you get traffic support, creator events, and real cash incentives. Livestreams are also a major feature. I’ll stream occasionally, or drop into a livestream to check the market and things like that. It’s pretty straightforward.
For someone like me, who occasionally does short videos and writes long-form articles, the Square has provided an environment where content can actually make a living. Last year’s creator platform campaign was a pretty good transition period for me. I’m still taking part in some things now.
Content platforms in this industry come and go, but the Square is one of the few that keeps getting more serious about what it does.
From last year’s Top 100 Creator Awards to expanding the scale and holding it again this year, it shows they really want to build a creator ecosystem, not just run a one-off event.
Speaking of the Top 100 Creator Awards...
Recently the Square launched the "2026 Global Blockchain Top 100 Creator Awards." I was shortlisted for the "Annual Long-form/Video Creator" category, and I’m currently ranked fourth.
The top 29 will be invited to Bangkok for an offline awards ceremony at Binance Blockchain Week.
Voting ends on October 28. Verified Binance accounts can cast one vote per category per day, with votes resetting at 8:00 AM Beijing time.
If you’re willing to help, find "Annual Long-form/Video Creator" and vote for Powerpei.