Revenue is $HYPE's real fight.
Grayscale puts Hyperliquid at
15 to 18x forward P/E.
ARK says two apps make up 67%
of crypto app revenue. 🤯
Fees show who owns attention.
$PEPE 🐸
Quietly building spot exposure here.
🔸Limits: $0.002 – $0.001
🔸DCA window: Aug – Dec 2026
🔸Spot only, zero leverage
Nobody wants alts right now. That's exactly the point.
Caught the latest news today, and wow, there's always something happening in the world. Makes me wonder how much we really miss while we're scrolling through our feeds.
Science is the ultimate adventure, where every question leads to a new discovery. It’s all about curiosity and pushing boundaries. Let’s keep exploring the wonders of our universe!
$PLUME has broken through another sell wall.
There are now two resistance levels remaining. Additionally, a new buy wall has formed below it.
A bullish rally will begin once these two resistance levels are broken.
$ETH Just needs a little push higher against $BTC to see a proper breakout above its down trend channel and Daily 200MA/EMA.
If it can do that, and maintain above the 0.03 ratio, it should be able to keep pushing from there and also push up the ETH ecosystem coins with it. In that case keep an eye on ETH DeFi, Memes etc.
Fresh Money Is Entering Crypto Again... Here's The Proof.
After more than 2 months of steady outflows, $USDC is flowing back into crypto exchanges again.
Why does this matter?
🔹 Because USDC is often the cash investors use before buying crypto.
🔹 More USDC on exchanges = More buying power waiting to be deployed.
It's not a guarantee of a rally, but historically, fresh stablecoin inflows have often supported stronger market momentum.
This is one of the on-chain signals worth watching closely.
History Is Repeating: The TOTAL Crypto Market Cap is retesting the same major support zone that previously launched a 488% rally.
If this level holds again, the next leg of the bull market could be far bigger than most expect.
Target: $10 Trillion
THIS DEV USED KARPATHY'S 41,000-STAR SYSTEM TO MAP AN ENTIRE CODEBASE IN 60 SECONDS.
He opened a screen share and pulled up what looked like a glowing 3D galaxy.
Thousands of colored dots were linked together by tight webs of lines.
It wasn't a graphics demo—it was his actual production codebase.
Claude had mapped every single file, function, and dependency in under a minute.
He clicked a random dot in the cluster.
Claude instantly explained what the file did and what would break if he touched it.
When he asked for the weakest link, the AI flagged a tangled core cluster.
He checked the logic—and the AI was dead right.
Over 41,000 developers starred Karpathy's architecture to summarize personal notes.
Nobody realized it works even better on software.
Your codebase is just a pile of raw files, and no human can hold the full picture in their head.
Compiling the repo into persistent memory dropped his repeat token costs by up to 90%.
Everyone uses AI to write simple functions.
Almost nobody uses it to map the entire architecture.
THIS GPU IS THE SIZE OF A POSTAGE STAMP.
For a few seconds…
…it looks completely real.
Someone “reveals” an RTX 3080 Mini that fits between two fingers.
Tiny fans.
Tiny PCB.
The promise?
Full RTX 3080 performance in something smaller than a key.
Then you remember the upload date.
April 1st.
It was a joke.
The funny part is…
…the joke is getting harder to spot every year.
Five years ago, an RTX 3080 needed a massive cooler, hundreds of watts, and half your PC case.
Today?
AI computers fit in your backpack.
NVIDIA’s Jetson Orin Nano delivers tens of trillions of AI operations from a board that fits in your hand.
The DGX Spark packs 1 petaFLOP of AI compute into a box small enough to disappear behind a monitor.
We’re watching the same trend that happened with phones.
Supercomputers became desktops.
Now desktops are becoming embedded devices.
The future isn’t bigger GPUs.
It’s AI hardware so small…
…you stop noticing it’s there.
A few years from now, every robot, camera, appliance, and factory machine could have its own local AI brain.
Not because models got smaller.
Because the hardware did.
The meme was fake.
The direction of the industry isn’t.
Bookmark this. The biggest change in AI hardware isn’t more power—it’s how little space that power now takes.
Every trader's got a comeback story. 📖🥊
Tell us yours.
1️⃣ Follow @MEXC + repost
2️⃣ Share about a big trading loss and how you recovered from it
3️⃣ Include your UID
500 USDT split between 20 winners.
Ends Jul 27.