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Turning complexity into compass points. My words are my ledger, Balanced, Bold and Mine.X_@MillieChar49891
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Original ansehen
$REZ zeigt nach einem sauberen Ausbruch starke Dynamik, wobei Käufer über den Schlüsselniveaus die Kontrolle übernommen haben. 👉🏻LONG 📈 Kaufen Sie bei Rücksetzung 0.00605–0.00595 oder halten Sie über 0.00630 Ziel: 0.00660 → 0.00695 → 0.00730 Stop-Loss: unter 0.00565 👉🏻SHORT 📉 Verkaufen Sie nur, wenn der 1H-Schluss unter 0.00565 liegt (Strukturversagen) Ziel: 0.00540 → 0.00515 Stop-Loss: über 0.00590 👉🏻DYOR
$REZ zeigt nach einem sauberen Ausbruch starke Dynamik, wobei Käufer über den Schlüsselniveaus die Kontrolle übernommen haben.

👉🏻LONG 📈
Kaufen Sie bei Rücksetzung 0.00605–0.00595 oder halten Sie über 0.00630
Ziel: 0.00660 → 0.00695 → 0.00730
Stop-Loss: unter 0.00565

👉🏻SHORT 📉
Verkaufen Sie nur, wenn der 1H-Schluss unter 0.00565 liegt (Strukturversagen)
Ziel: 0.00540 → 0.00515
Stop-Loss: über 0.00590
👉🏻DYOR
Übersetzen
@WalrusProtocol l is the unsung hero of web3 storage. $WAL keeps everything affordable and zippy on Solana. Store blobs for DeFi, media, whatever without fees killing you. User-friendly and battle-tested. If you're in crypto, don't sleep on this gem! @WalrusProtocol #walrus $WAL {future}(WALUSDT)
@Walrus 🦭/acc l is the unsung hero of web3 storage. $WAL keeps everything affordable and zippy on Solana. Store blobs for DeFi, media, whatever without fees killing you. User-friendly and battle-tested. If you're in crypto, don't sleep on this gem! @Walrus 🦭/acc #walrus $WAL
Übersetzen
Loving @WalrusProtocol for making storage simple and cheap via $WAL . On Solana, blobs load fast without the usual costs eating your profits. Ideal for AI data, social dApps, or anything growing fast. Community-driven and solid. Time to stack some? @WalrusProtocol #walrus $WAL
Loving @Walrus 🦭/acc for making storage simple and cheap via $WAL . On Solana, blobs load fast without the usual costs eating your profits. Ideal for AI data, social dApps, or anything growing fast. Community-driven and solid. Time to stack some? @Walrus 🦭/acc #walrus $WAL
Übersetzen
$MUBARAK Right now, this coin is strong, so I’m favoring longs, but I’ll stay flexible. 👉🏻Long: If price holds above 0.0222 or gives a clean pullback into that area, I’m looking for longs. Structure is bullish and buyers are in control. Targets: 0.0235 → 0.0245 I cut the trade if we lose 0.0216 👉🏻Short: I’m not shorting blindly. If price pushes into 0.023–0.0235 and gets rejected hard with selling pressure, then I’ll look for a short. Targets: 0.0220 → 0.0215 Invalidation above 0.024 👉🏻DYOR
$MUBARAK Right now, this coin is strong, so I’m favoring longs, but I’ll stay flexible.

👉🏻Long:
If price holds above 0.0222 or gives a clean pullback into that area, I’m looking for longs. Structure is bullish and buyers are in control.

Targets: 0.0235 → 0.0245
I cut the trade if we lose 0.0216

👉🏻Short:
I’m not shorting blindly. If price pushes into 0.023–0.0235 and gets rejected hard with selling pressure, then I’ll look for a short.

Targets: 0.0220 → 0.0215
Invalidation above 0.024
👉🏻DYOR
Original ansehen
Walrus-Speicher und der Mythos der idealen DezentralisierungEinige der stärksten Mythen der Web3-Infrastruktur ist die Vorstellung einer perfekten Dezentralisierung geworden. Sie impliziert ein koordinationsloses, ahnungsloses, titelloses und fehlerfreies System. Diese Vision ist in Whitepapers und Marketingpräsentationen verfeinert und perfekt. Fast zwangsläufig kann sie in der Produktionsumgebung nicht realisiert werden. Die meisten dezentralen Systeme unterscheiden sich von Speicher-Netzwerken nicht in der Unterscheidung zwischen ideologischer Reinheit und operativer Realität. Daten sollten über die Zeit hinweg langlebig sein und auch widerstandsfähig gegenüber instabilen Netzwerkbedingungen sowie langfristig ihre Essenz bewahren, selbst nachdem die Anreize verbraucht sind. Walrus betrachtet Dezentralisierung als einen Prozess, um Zuverlässigkeit, Sicherheit und Widerstandsfähigkeit zu maximieren, nicht als Endziel an sich, sondern als Mittel, um das Ziel effektiv zu erreichen, und nur dort, wo dies sinnvoll ist. Diese Abkehr von der Absolutheit ist keine Kompromisslösung – so leben dezentrale Systeme bereits in der Realität.

Walrus-Speicher und der Mythos der idealen Dezentralisierung

Einige der stärksten Mythen der Web3-Infrastruktur ist die Vorstellung einer perfekten Dezentralisierung geworden. Sie impliziert ein koordinationsloses, ahnungsloses, titelloses und fehlerfreies System. Diese Vision ist in Whitepapers und Marketingpräsentationen verfeinert und perfekt. Fast zwangsläufig kann sie in der Produktionsumgebung nicht realisiert werden. Die meisten dezentralen Systeme unterscheiden sich von Speicher-Netzwerken nicht in der Unterscheidung zwischen ideologischer Reinheit und operativer Realität. Daten sollten über die Zeit hinweg langlebig sein und auch widerstandsfähig gegenüber instabilen Netzwerkbedingungen sowie langfristig ihre Essenz bewahren, selbst nachdem die Anreize verbraucht sind. Walrus betrachtet Dezentralisierung als einen Prozess, um Zuverlässigkeit, Sicherheit und Widerstandsfähigkeit zu maximieren, nicht als Endziel an sich, sondern als Mittel, um das Ziel effektiv zu erreichen, und nur dort, wo dies sinnvoll ist. Diese Abkehr von der Absolutheit ist keine Kompromisslösung – so leben dezentrale Systeme bereits in der Realität.
Übersetzen
$DUSK | Jan 11, 2026 Short-term sentiment remains bearish after rejection near local highs, with a possible dip toward $0.055 support. Despite near-term weakness, the longer-term structure stays optimistic if key levels hold. Fear & Greed Index remains in Fear, signaling high volatility ahead. #DUSK #crypto #Altcoins 👉🏻DYOR
$DUSK | Jan 11, 2026
Short-term sentiment remains bearish after rejection near local highs, with a possible dip toward $0.055 support. Despite near-term weakness, the longer-term structure stays optimistic if key levels hold.

Fear & Greed Index remains in Fear, signaling high volatility ahead.
#DUSK #crypto #Altcoins
👉🏻DYOR
Übersetzen
I am Just spent some time exploring Walrus Protocol, and honestly it’s pretty impressive. Built on Sui, it tackles one of the biggest pain points in AI: storing and managing massive datasets like high-res videos and large image collections without depending on fragile centralized servers. What really stands out is the ownership angle. Data creators can actually control and monetize their work instead of handing it over to platforms that might disappear tomorrow. Feels like a solid step toward a more resilient, creator-friendly data economy. If you’re building AI apps or working with large-scale data, this is definitely worth a look.@WalrusProtocol #walrus $WAL {future}(WALUSDT)
I am Just spent some time exploring Walrus Protocol, and honestly it’s pretty impressive. Built on Sui, it tackles one of the biggest pain points in AI: storing and managing massive datasets like high-res videos and large image collections without depending on fragile centralized servers.

What really stands out is the ownership angle. Data creators can actually control and monetize their work instead of handing it over to platforms that might disappear tomorrow. Feels like a solid step toward a more resilient, creator-friendly data economy.

If you’re building AI apps or working with large-scale data, this is definitely worth a look.@Walrus 🦭/acc #walrus $WAL
Übersetzen
Real version Reliability is Behavior, Not Promises It is the storage of the walrus in the real worldStorage reliability is commonly described in terms of uptime percentages, or great-looking architectural diagrams, in Web3. However, as anyone who has ever created or been dependent on any decentralized infrastructure is aware, true reliability is seen in practical behaviour, not in optimum conditions. Walrus, by the creators of @walrusprotocol, is a pragmatic view on decentralized storage one which acknowledges instability as a fact, and makes design choices that assume it exists rather than acting like it does not. Compared to the conventional cloud storage, Walrus is ran in a setting where nodes are independent, permission less, and in constant flux. Machines go offline. Operators exit. Networks become congested. Instead of considering these incidences as special failures, Walrus believes that the occurrence of such events will be normal. This is an assumption which underlies the process of attaining long-term reliability in the system. Walrus stores information in form of multi-encoded pieces of information and the pieces are spread across various nodes. Not all nodes have to be connected at the same time via the system. As far as there are enough pieces, it is possible to reconstruct the original data. The reduced chance of the permanent loss of data in this design is dramatically low, even during times of high churn. The remarkable aspect of Walrus is its focus on repair. The protocol is used continuously to check into stored data to ensure that redundancy level is kept within acceptable limits. In cases where excessive fragments are lost, Walrus will automatically restore back- original fragments, and redistribute the fragments in the network. This is done automatically and does not need human intervention. As a user this may be sometimes in the form of unequal availability. Slower reads can be observed in energetic repairing not least in times of network strain. Nevertheless, such a behavior is a result of a designed choice, not a flaw. Walrus is not as smooth as possible, but rather concentrates on data integrity. This distinction matters. Failure of centralised systems can be quite abrupt and is complete: a service is brought down, information or data is inaccessible, and customers are denied access. In Walrus, stress is taken up slowly. The system tends to curve or get a strain but it does not hit the breaking point, instead it diminishes the resources towards repair in order to maintain recoverability. In many applications where durability is a priority, i.e. decentralized archives, blockchain data availability layers or long life-span digital assets, this trade-off can be rewarding. Economics drives such behavior. 0 WAL is rewarded based on the availability and genuine competition of nodes which makes node operators have a stronger interest in the broader network health. Meanwhile, the factors of repair failings in Walrus suppress the harm done by errant, or temporary operators. Instead of premising on the ideal behavior, the protocol makes the assumption of imperfect incentives and rewards with redundancy and automation. This practice would eventually bring about perceived reliability instead of anticipated reliability. A majority of the data stored on the Walrus can be recovered even when a significant portion of the network has been altered. The availability can vary, but the system tries to maintain the order. This is more of a realistic approach to decentralized infrastructure, in which unpredictability is a given. Walrus is a valuable lesson to developers that are building in Web3. To be successful, decentralized systems can be mismatched with centralized services on all measures. They should instead guarantee one that can not be done by any centralized system- censorship resistance, fault tolerance and long term longevity. Walrus is leaning into these advantages instead of pursuing the weak show performance concepts. Walrus is unique in the trend where hype can tend to overshadow engineering reality because Walrus takes its trade-offs, frankly speaking. It is partial to data permanence, as opposed to immediate gratification, and long-term implacability, as opposed to fractured perfection. Decentralized storage as a Web3 base layer will be what results in systems that perform when stressed, but not just on hypothesis, will be the ones that will build operational trust. It is here that Walrus gets its power, in not asserting to perfect availability, but in demonstrating its own failure. @WalrusProtocol #walrus $WAL {future}(WALUSDT)

Real version Reliability is Behavior, Not Promises It is the storage of the walrus in the real world

Storage reliability is commonly described in terms of uptime percentages, or great-looking architectural diagrams, in Web3. However, as anyone who has ever created or been dependent on any decentralized infrastructure is aware, true reliability is seen in practical behaviour, not in optimum conditions. Walrus, by the creators of @walrusprotocol, is a pragmatic view on decentralized storage one which acknowledges instability as a fact, and makes design choices that assume it exists rather than acting like it does not.
Compared to the conventional cloud storage, Walrus is ran in a setting where nodes are independent, permission less, and in constant flux. Machines go offline. Operators exit. Networks become congested. Instead of considering these incidences as special failures, Walrus believes that the occurrence of such events will be normal. This is an assumption which underlies the process of attaining long-term reliability in the system.
Walrus stores information in form of multi-encoded pieces of information and the pieces are spread across various nodes. Not all nodes have to be connected at the same time via the system. As far as there are enough pieces, it is possible to reconstruct the original data. The reduced chance of the permanent loss of data in this design is dramatically low, even during times of high churn.
The remarkable aspect of Walrus is its focus on repair. The protocol is used continuously to check into stored data to ensure that redundancy level is kept within acceptable limits. In cases where excessive fragments are lost, Walrus will automatically restore back- original fragments, and redistribute the fragments in the network. This is done automatically and does not need human intervention.
As a user this may be sometimes in the form of unequal availability. Slower reads can be observed in energetic repairing not least in times of network strain. Nevertheless, such a behavior is a result of a designed choice, not a flaw. Walrus is not as smooth as possible, but rather concentrates on data integrity.
This distinction matters. Failure of centralised systems can be quite abrupt and is complete: a service is brought down, information or data is inaccessible, and customers are denied access. In Walrus, stress is taken up slowly. The system tends to curve or get a strain but it does not hit the breaking point, instead it diminishes the resources towards repair in order to maintain recoverability. In many applications where durability is a priority, i.e. decentralized archives, blockchain data availability layers or long life-span digital assets, this trade-off can be rewarding.
Economics drives such behavior. 0 WAL is rewarded based on the availability and genuine competition of nodes which makes node operators have a stronger interest in the broader network health. Meanwhile, the factors of repair failings in Walrus suppress the harm done by errant, or temporary operators. Instead of premising on the ideal behavior, the protocol makes the assumption of imperfect incentives and rewards with redundancy and automation.
This practice would eventually bring about perceived reliability instead of anticipated reliability. A majority of the data stored on the Walrus can be recovered even when a significant portion of the network has been altered. The availability can vary, but the system tries to maintain the order. This is more of a realistic approach to decentralized infrastructure, in which unpredictability is a given.
Walrus is a valuable lesson to developers that are building in Web3. To be successful, decentralized systems can be mismatched with centralized services on all measures. They should instead guarantee one that can not be done by any centralized system- censorship resistance, fault tolerance and long term longevity. Walrus is leaning into these advantages instead of pursuing the weak show performance concepts.
Walrus is unique in the trend where hype can tend to overshadow engineering reality because Walrus takes its trade-offs, frankly speaking. It is partial to data permanence, as opposed to immediate gratification, and long-term implacability, as opposed to fractured perfection. Decentralized storage as a Web3 base layer will be what results in systems that perform when stressed, but not just on hypothesis, will be the ones that will build operational trust.
It is here that Walrus gets its power, in not asserting to perfect availability, but in demonstrating its own failure.
@Walrus 🦭/acc #walrus $WAL
Übersetzen
$HYPER Fast move, now consolidating at highs. Decision zone wait for confirmation. Long: Entry: 0.155–0.160 hold or above 0.165 Targets: 0.172–0.175 / 0.185–0.190 Stop: Below 0.150 Short: Entry: Rejection at 0.168–0.172 or below 0.150 Targets: 0.145 / 0.130–0.133 Stop: Above 0.175 👉🏻 DYOR
$HYPER Fast move, now consolidating at highs. Decision zone wait for confirmation.

Long:
Entry: 0.155–0.160 hold or above 0.165
Targets: 0.172–0.175 / 0.185–0.190
Stop: Below 0.150

Short:
Entry: Rejection at 0.168–0.172 or below 0.150
Targets: 0.145 / 0.130–0.133
Stop: Above 0.175
👉🏻 DYOR
Original ansehen
Nachgewiesene Zuverlässigkeit und Verfügbarkeit in Walrus: Eine praktische Studie zu dezentraler Speicherung.Bei dezentraler Speicherung wird Zuverlässigkeit nicht anhand von Marketingbehauptungen oder gar hypothetischen Uptime-Prozenten definiert. Stattdessen wird sie anhand der Gruppierung des Systems unter realen Messfaktoren festgelegt: Node-Churn, Netzwerküberlastung, Reparaturzyklen und zufällige Nutzeranfragen. Walrus, entwickelt im Rahmen der größeren Vision von @walrusprotocol, ist ein Beispiel dafür, wie ein modernes, dezentrales Speichersystem einen Ansatz verfolgt, der stärker auf langfristige Datensicherheit abzielt, anstatt kurzfristige Leistung zu gewährleisten.

Nachgewiesene Zuverlässigkeit und Verfügbarkeit in Walrus: Eine praktische Studie zu dezentraler Speicherung.

Bei dezentraler Speicherung wird Zuverlässigkeit nicht anhand von Marketingbehauptungen oder gar hypothetischen Uptime-Prozenten definiert. Stattdessen wird sie anhand der Gruppierung des Systems unter realen Messfaktoren festgelegt: Node-Churn, Netzwerküberlastung, Reparaturzyklen und zufällige Nutzeranfragen. Walrus, entwickelt im Rahmen der größeren Vision von @walrusprotocol, ist ein Beispiel dafür, wie ein modernes, dezentrales Speichersystem einen Ansatz verfolgt, der stärker auf langfristige Datensicherheit abzielt, anstatt kurzfristige Leistung zu gewährleisten.
Original ansehen
Übersetzen
Studio Lahore to World CanvasI am Ayesha and I operate a small studio here in Lahore dealing in digital art. Anyone who has been watching NFT artists fight with years of obvious attempts to promote their creations will notice attempts on Ethereum that are then still costly on IPFS pinning services, and the consistent inability not to worry about the safety of their files. One artist nearly gave up a gorgeous generative series, storage costs will be higher than sales. This was followed by the mentioning of Walrusprotocol by someone in our local crypto meetup. Another storage layer I asked myself, skeptically. But curiosity won. We got started with a small sample of 500 high res works. The upload was relatively unbelievably smooth, and the reference on the blockchain cost pennies in $WAL . What is more significant is that the files remained online and we were not continuing to pin nodes. Several months after, the same collection also sold out on an international drop. New York buyers through Tokyo could view preview images immediately without any links being broken or without any excuses. We even included some of our behind-the-scenes videos in the fresh data marketplace of Walrus and reaped more $WAL which we used to invest in new talent. What began as a storage tool was a flywheel innovative. When you make art you want to be permanent art, it is time to quit betting the ranch on single strands of spider-webs.@walrusprotocol is creating the canvas the next generation will have a reason to see. @WalrusProtocol #walrus $WAL {future}(WALUSDT)

Studio Lahore to World Canvas

I am Ayesha and I operate a small studio here in Lahore dealing in digital art. Anyone who has been watching NFT artists fight with years of obvious attempts to promote their creations will notice attempts on Ethereum that are then still costly on IPFS pinning services, and the consistent inability not to worry about the safety of their files. One artist nearly gave up a gorgeous generative series, storage costs will be higher than sales.
This was followed by the mentioning of Walrusprotocol by someone in our local crypto meetup. Another storage layer I asked myself, skeptically. But curiosity won. We got started with a small sample of 500 high res works. The upload was relatively unbelievably smooth, and the reference on the blockchain cost pennies in $WAL . What is more significant is that the files remained online and we were not continuing to pin nodes.
Several months after, the same collection also sold out on an international drop. New York buyers through Tokyo could view preview images immediately without any links being broken or without any excuses. We even included some of our behind-the-scenes videos in the fresh data marketplace of Walrus and reaped more $WAL which we used to invest in new talent. What began as a storage tool was a flywheel innovative.
When you make art you want to be permanent art, it is time to quit betting the ranch on single strands of spider-webs.@walrusprotocol is creating the canvas the next generation will have a reason to see.
@Walrus 🦭/acc #walrus $WAL
Übersetzen
The Midnight Code SprintAt 2:47 a.m, our lead developer came across the Discord call and said: We are out of quota again. Our DeFi analytics dashboard had just become viral following a large upgrade to the protocol and the ensuing traffic burst destroyed our centralized image hosting. Charts would fail to load, user experience was horrible, and we were losing users in a minute. Understandably, I switched to a new tab and search engine and typed in decentralized blob storage Sui. This is how I have become acquainted with @walrusprotocol. After an hour we were running their SDK. There will be no active onboarding, no sales pitch by the company; it will just be amenable developer tools. We have thrown thousands of active charts with dynamic screenshots containing history files as blobs. It was quick and responsive even during rush times. The best part? We had to pay in at stable rates of fiat, based on the dollar, WAL. There are no gas wars, no amazing overages. Towards sunrise the dashboard re-entered the air and was stronger than ever and our community began proposing questions on how we removed it. That panic evening has finally taught me an important lesson, and it is not the issue of smart contracts, but the infrastructure that remains operational when you need it most. @walrusprotocol became our back-up, without much noise to talk of. @WalrusProtocol #walrus $WAL {future}(WALUSDT)

The Midnight Code Sprint

At 2:47 a.m, our lead developer came across the Discord call and said: We are out of quota again. Our DeFi analytics dashboard had just become viral following a large upgrade to the protocol and the ensuing traffic burst destroyed our centralized image hosting. Charts would fail to load, user experience was horrible, and we were losing users in a minute. Understandably, I switched to a new tab and search engine and typed in decentralized blob storage Sui. This is how I have become acquainted with @walrusprotocol.
After an hour we were running their SDK. There will be no active onboarding, no sales pitch by the company; it will just be amenable developer tools. We have thrown thousands of active charts with dynamic screenshots containing history files as blobs. It was quick and responsive even during rush times. The best part? We had to pay in at stable rates of fiat, based on the dollar, WAL. There are no gas wars, no amazing overages. Towards sunrise the dashboard re-entered the air and was stronger than ever and our community began proposing questions on how we removed it.
That panic evening has finally taught me an important lesson, and it is not the issue of smart contracts, but the infrastructure that remains operational when you need it most. @walrusprotocol became our back-up, without much noise to talk of.
@Walrus 🦭/acc #walrus $WAL
Übersetzen
The Forgotten ArchiveThree years back, I worked as an archivist to a small film organization in Lahore. An image had terabytes of raw footage a video of interviews with distant villages, 4K drone shots of the north valleys, and hours of raw storytelling which should be immortalized. But the truth was realized very fast: the old NAS came to a halt twice, cloud bills ate up our small budget and we walked on the verge of virtues never to be replaced in our cultural memory. Subsequently, one day, I spent a late hour in research when I found out about the existence of @walrusprotocol. This is not what struck me, a promise that was decentralized; it was the narration itself. Walrus not only does not look at data as lifeless files it views them as living ones, which can be preserved, shared and even monetized over the years. Our full archive was migrated using the efficiency that Sui blockchain provides. The process was practically a magic one: the coded blobs were spread over the network and proved instantly. Under $WAL, we had a reasonable and foreseeable storage charges and no longer at the end of the month did we see panic. Those films are today not only safe, they are discoverable. Independent filmmakers in all South Asian regions now license clips under $WAL which makes our preservation work a small, but viable source of income. We could be erasing our own history and forgotten in a world that is in a frenzied attempt to forget its own history and roots; our stories were made permanent by @walrusprotocol. When you have any memories worth preserving, this is the place they will go. @WalrusProtocol #walrus $WAL {future}(WALUSDT)

The Forgotten Archive

Three years back, I worked as an archivist to a small film organization in Lahore. An image had terabytes of raw footage a video of interviews with distant villages, 4K drone shots of the north valleys, and hours of raw storytelling which should be immortalized. But the truth was realized very fast: the old NAS came to a halt twice, cloud bills ate up our small budget and we walked on the verge of virtues never to be replaced in our cultural memory. Subsequently, one day, I spent a late hour in research when I found out about the existence of @walrusprotocol.
This is not what struck me, a promise that was decentralized; it was the narration itself. Walrus not only does not look at data as lifeless files it views them as living ones, which can be preserved, shared and even monetized over the years. Our full archive was migrated using the efficiency that Sui blockchain provides. The process was practically a magic one: the coded blobs were spread over the network and proved instantly. Under $WAL , we had a reasonable and foreseeable storage charges and no longer at the end of the month did we see panic. Those films are today not only safe, they are discoverable. Independent filmmakers in all South Asian regions now license clips under $WAL which makes our preservation work a small, but viable source of income.
We could be erasing our own history and forgotten in a world that is in a frenzied attempt to forget its own history and roots; our stories were made permanent by @walrusprotocol. When you have any memories worth preserving, this is the place they will go.
@Walrus 🦭/acc #walrus $WAL
Übersetzen
Keeping an eye on @WalrusProtocol , it’s refreshing to see a Web3 team tackling real infrastructure problems. Data availability doesn’t get enough attention, but it’s essential for true scalability. The consistent development around $WAL makes this a project to watch over the long run.@WalrusProtocol #walrus $WAL {future}(WALUSDT)
Keeping an eye on @Walrus 🦭/acc , it’s refreshing to see a Web3 team tackling real infrastructure problems. Data availability doesn’t get enough attention, but it’s essential for true scalability. The consistent development around $WAL makes this a project to watch over the long run.@Walrus 🦭/acc #walrus $WAL
Übersetzen
BREAKING: ZCASH dev team just resigned all at once. $ZEC coin dropped -22% #zcash #crypto
BREAKING: ZCASH dev team just resigned all at once.

$ZEC coin dropped -22%

#zcash #crypto
Übersetzen
Over the past few days, I’ve spent some time reading into what @WalrusProtocol is actually building, and the vision feels very practical for where Web3 is headed. Reliable and scalable data availability is something the space truly needs, and the way this project is approaching it makes sense. I’ll be watching how the ecosystem grows around $WAL moving forward.@WalrusProtocol #walrus $WAL
Over the past few days, I’ve spent some time reading into what @Walrus 🦭/acc is actually building, and the vision feels very practical for where Web3 is headed. Reliable and scalable data availability is something the space truly needs, and the way this project is approaching it makes sense. I’ll be watching how the ecosystem grows around $WAL moving forward.@Walrus 🦭/acc #walrus $WAL
Übersetzen
BREAKING: President Trump confirms he is considering using the US military to take control of Greenland, citing "national security concerns." The odds of Trump acquiring Greenland in 2026 surge to a new high of 15%, per Polymarket. Is the US about to acquire 2 countries in 1 year? #Polymarket #US #TRUMP
BREAKING: President Trump confirms he is considering using the US military to take control of Greenland, citing "national security concerns."

The odds of Trump acquiring Greenland in 2026 surge to a new high of 15%, per Polymarket.

Is the US about to acquire 2 countries in 1 year?
#Polymarket #US #TRUMP
Original ansehen
Japans 30-jährige Staatsanleiherendite stieg auf ein neues Rekordhoch von 3,52 %. Ab welchem Punkt bricht etwas zusammen? #Japan #market
Japans 30-jährige Staatsanleiherendite stieg auf ein neues Rekordhoch von 3,52 %.

Ab welchem Punkt bricht etwas zusammen?
#Japan #market
Übersetzen
JUST IN: Bitcoin falls under $92,000. $BTC #bitcoin
JUST IN: Bitcoin falls under $92,000.
$BTC #bitcoin
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