TRUNG_DZ
TRUNG_DZ
I DON’T KNOW WHO YOU ARE BUT IF YOU FOLLOW ME I WILL MAKE YOU RICH
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Pasar bergerak dari fase koreksi ke fase pemulihan selektif
$ENJ setelah debit yang kuat telah mempertahankan area support di sekitar 0,037 dan bangkit kembali dengan cepat Ini menunjukkan bahwa gaya permintaan masih ada, tetapi struktur saat ini adalah bahwa setelah pompa bukanlah tren baru Risiko masih tinggi jika kehilangan 0,037 lagi
@OKX Orbit
$BASED membuat dasar yang lebih tinggi secara bertahap dan mencapai area resistensi 0,060 Ini adalah bentuk akumulasi transisi fase jika area ini jelas tembus, dapat memasuki tren jangka pendek
$WET ada pembalikan yang kuat dari bawah dengan candle bullish yang miring dan reklamasi kembali MA yang penting Ini adalah sinyal arus kas kembali tetapi perlu menahan area 0.100 untuk mempertahankan struktur
$HUMA masih merupakan kasus terkuat untuk mempertahankan titik terendah yang lebih tinggi terus menerus dan tetap berpegang pada MA yang indah Arus kas lebih stabil daripada token lainnya, sehingga kemungkinan kontinuitas lebih tinggi
Poin umumnya adalah bahwa banyak token telah merebut kembali MA20 dan MA50 setelah koreksi, menunjukkan bahwa pasar sedang menguji ulang tren naik jangka pendek
#OKXOrbitTopics
Strategi
Prioritaskan $HUMA dan $BASED ketika ada kemunduran karena struktur yang stabil
$WET dapat mengikuti jika memegang 0,100
$ENJ hanya boleh memperhatikan ritme dan tidak mengejar harga
Kesimpulannya, pasar pulih tetapi belum mengkonfirmasi tren naik yang kuat Arus kas kembali tetapi masih selektif, Token yang mempertahankan struktur akan terus berjalan dan token lemah mudah dilepaskan dengan cepat
+0,01%
Snapshot pada 13 Apr 2026, pukul 04.07
As a long-term member of the @datafdn community, I see the move to Sui as more than just a network migration. It’s a strategic step toward making DATA’s vision of rights-cleared AI training data more scalable and practical.
Trace has already recorded over 250 million receipts, creating a foundation for AI labs to access real-world data with verifiable provenance. With Walrus becoming the default storage layer for DATA Foundation apps, original files can be stored in encrypted, tamper-proof form, with access limited to licensed buyers.
Another major signal is the Sui Foundation’s $30 million investment in the DATA Network, making it the network’s largest institutional holder. This shows a significant commitment to the ecosystem’s next stage of development.
What I appreciate most is that the transition is designed to preserve existing $DATA balances at a 1:1 ratio, while governance rights, token economics, and locked or vesting positions remain at least equivalent to today. There’s no action required from holders right now.
I’m excited to see DATA build on Sui while continuing its mission of connecting human-generated data with the growing demand for AI training. The real value will come from how this infrastructure develops and how much adoption Trace can achieve over time.
The next chapter of DATA starts here.
#DATANetwork #Suinetwork
The DATA Foundation
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
I just watched the “Fungo School” video from FungoLabs and felt more intrigued than I expected. The cute voxel animation made the concept of encrypted NFTs feel surprisingly approachable.
Usually when I mint an NFT, everything is public right away traits, rarity, everything. Anyone can see what I hold, and people even try to snipe rare ones before mint. This is different. The traits and artwork stay encrypted on-chain using Zama’s FHE technology, and even the team doesn’t know what you get. Only the holder can see what’s inside until they choose to reveal it. It feels like holding a sealed gift that only you have the right to open.
I like this sense of privacy. There’s a bit of excitement and a small feeling of control knowing that no one else can peek until you decide. I’m still somewhat skeptical about how practical Fully Homomorphic Encryption will be for NFTs long-term, but the way they keep the odds, rules, and fund flows fully public while hiding the actual content makes the project feel more serious than pure hype.
Right now I’m more curious than convinced. But the idea of an NFT that stays invisible to everyone except the owner is new enough that I want to keep following it.
@fungolabs @zama
Scaling Blockchains Does Not Always Mean Adding More Block Space
When blockchain networks face growing demand, the obvious solution is often to increase capacity:
More block space.
More throughput.
Bigger infrastructure.
But there is another way to approach the scaling problem:
Make the existing block space more efficient.
That distinction is central to how @get_optimum frames its networking research.
A blockchain does not only have a computation problem. It also has a data movement problem.
When a block is produced, its data has to propagate across a distributed network of nodes. Every additional delay, retransmission, or inefficient packet transfer adds friction to that process.
Traditional propagation can be thought of as repeatedly forwarding pieces of the same information between nodes. If packets are lost or delayed, the network may need additional transmissions before a node has enough information to reconstruct the block.
Optimum explores a different approach using Random Linear Network Coding (RLNC).
Instead of treating every packet as an individual piece that must arrive intact, RLNC allows nodes to transmit coded combinations of the underlying data. Once a node receives enough independent information, it can reconstruct the original dataset.
The important scaling property is that the network can spend its bandwidth on useful information, rather than repeatedly recovering from inefficient transmission.
This changes the question from:
“How do we create more block space?”
to:
“How do we move the block space we already have more efficiently?”
The distinction matters because increasing capacity at the protocol level does not automatically solve the cost of distributing that additional data across a decentralized network.
The transcript highlights this directly: Optimum’s approach is not about adding more block space, but about making the existing block space more efficient. Tài-liệu.txt
This is also why networking deserves to be treated as a fundamental scaling layer.
If data can propagate more efficiently, the network may be able to support higher demands without requiring decentralization to be sacrificed for performance.
That is the core idea behind “decentralize to scale.”
Not scaling by making the network smaller and more centralized.
Scaling by making the network itself more efficient.
#Optimum #Ethereum
The click and character of classic keyboards is what ESCCAP is preserving. Genesis access is open for the 3,333 retro keyboard collection. Going with Tactile switches myself. #EscCap
@JUSTSEAL403
@NamiXDaily
Esc Cap
Genesis access for ESCCAP begins now ⌨️
A curated collection of retro mechanical keyboard collectibles, crafted with precision and inspired by the timeless details of classic keyboards
From the feel of every key to the character behind every design, ESCCAP is built for those who appreciate the details behind the keys
A collection made for keyboard enthusiasts, collectors, and those who see more than just a keyboard
Apply now:
Your Genesis journey starts here
The Refined list is growing again at @get_optimum.
Congratulations to everyone who earned their upgrade this week:
zarra234 (❖,❖)
Adetola !! 🟪 Chef
👑Ꝉօɾժ Ꝉąʍҍą 🧛🏼
Likith.k | MUM ARC |
𝐒𝐢𝐥𝐯𝐲 🔥
Totosha⚡
Cao Thần Quang
WeJin
༄𝐌𝒓𝑀𝑢𝑛𝒕𝐚𝑧𝑖𝑟✿࿐
Dastaaan
Hodelwizard |MUM
May821 ./
A well-deserved milestone for every name on this list.
Keep showing up, keep contributing, and keep building with the Optimum community.
For those still on Observer — stay consistent. The next upgrade list could have your name on it.
#optimum #RLNC
Nice to meet you.
@zaddrnet
2,800 faces you can see.
2,800 owners you can’t.
Zaddr is not another generated PFP collection. Every face is hand-drawn, pixel by pixel. No trait randomization. No factory art. Just 2,800 unique portraits living on Zcash.
The image is public.
The owner is not.
Ownership moves through Zcash’s Orchard shielded pool. You can use the face. You can display it. Nobody on-chain can see who holds it.
Whitelist applications are now closed.
21,996 people applied.
Pending tickets are still being read by hand — not by a filter.
Mint is tomorrow, 21 September:
Whitelist: 13:00 UTC — 1 per wallet
Public: 19:00 UTC — 3 per wallet
Price: 0.02 ZEC each
Applied? Check your status at
This is what Zcash can actually do when the artwork is visible and the holder stays private.
2,800 faces on Zcash.
Every face public. Every owner isn’t.
Nice to not meet you.
Nice to Meet You: How @zaddrnet Is Building a Private Payment Layer on Zcash
Zcash has long been known for one thing most cryptocurrencies still struggle with: real privacy. Shielded transactions hide the sender, receiver, and amount. But sending money still usually means copying a 178-character address that no one wants to read out loud.
ZADDR is trying to fix that.
The project is launching 2,800 hand-drawn pixel faces on Zcash. Every face is public. Every owner is not. Ownership lives in Zcash’s Orchard shielded pool, so the person behind each face stays hidden. The tagline captures it cleanly: “Nice to not meet you.”
Instead of sharing a long z-address, users claim a simple name tied to their X account. Someone can pay and the payment goes to the private address behind that name. The payer never sees the 178-character string. Keys stay on the user’s device. ZADDR does not hold anyone’s funds.
The project used a tightly controlled whitelist. More than 21,000 people applied. Applications are now closed and still being reviewed by hand. Approved holders recently gained the ability to nominate others. Each approved user can make one nomination by posting:
hey @zaddrnet nominating @handle
Every nomination draws a line on the live map at As of the latest update, that map shows 236 lines crossing 40 countries and 110 borders. The visualization treats the network like a spreading contagion — a playful way to show how trust and access are moving across the globe.
Mint is scheduled for 21 September 2026 at 0.02 ZEC per face. Whitelist mint starts at 13:00 UTC (1 per wallet). Public mint follows at 19:00 UTC (3 per wallet).
ZADDR is not trying to be a wallet or an exchange. It is trying to make private payments usable. A public face, a simple name, and a shielded address behind it. You can see who is in the network. You cannot see who owns what.
That is the point.
