TechnicalTrader

In 2013, a man named Davinci Jeremie, who was a YouTuber and early Bitcoin user, told people to invest just $1 in Bitcoin. At that time, one Bitcoin cost about $116. He said it was a small risk because even if Bitcoin became worthless, they would only lose $1. But if Bitcoin's value increased, it could bring big rewards. Sadly, not many people listened to him at the time.
Today, Bitcoin's price has gone up a lot, reaching over $95,000 at its highest point. People who took Jeremie’s advice and bought Bitcoin are now very rich. Thanks to this early investment, Jeremie now lives a luxurious life with yachts, private planes, and fancy cars. His story shows how small investments in new things can lead to big gains.
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When we talk about storing our digital lives on a decentralized network like Walrus, we have to think about security.
It is not just about keeping hackers out, it is also about making sure the people uploading data are playing by the rules.
Sometimes, a "malicious writer" might try to upload data that is broken or incorrectly scrambled on purpose.
I want to explain to you how we handle these situations so the network stays clean and your data stays reliable.
In the Walrus system, files are chopped into pieces called slivers. These pieces are sent to different storage nodes.
Along with these pieces, there is a special digital fingerprint that proves the data is correct. If a writer is being dishonest, they might send slivers that do not match that fingerprint.
This creates a big problem called "inconsistent encoding," but as you will see, the system is built to catch these cheaters in the act.

How Nodes Catch a Malicious Writer
Imagine you are a storage node and someone sends you a piece of a file. When you look at it, you realize the math does not add up. The writer gave you a piece of data that does not match the official fingerprint. In this case, you cannot recover the data correctly. This is the moment the Walrus protocol kicks into high gear to protect the rest of us.
Even though the node received "garbage" data, that garbage is actually useful. The node uses the bad data to create a "proof of inconsistency." It is basically a way for the node to say to the rest of the network, "Hey, look at what this writer sent me, it is mathematically impossible for this to be right." This proof is verifiable by anyone, meaning the node isn't just giving an opinion, it is providing cold, hard facts.
Sharing the Proof with the Neighborhood
Once a node discovers this bad data, it does not keep that information to itself. It shares the proof with all the other nodes in the Walrus network. I think this is a brilliant way to handle things because it forces the writer to be honest. If the writer tries to cheat, they are essentially handing the network the evidence needed to kick their data out.
Other nodes can take this evidence and perform what we call a "trial recovery." They run the math themselves to see if the first node was telling the truth. If they see the same error, they all agree that the data is invalid. This group effort ensures that no single node can lie about a writer, and no writer can trick the system without getting caught by the group.
Why You Never Have to Worry About Bad Data
You might be wondering if you could ever accidentally download one of these broken files. The great news is that the Walrus read process is designed to protect you. Any "correct reader" or user looking for a file will automatically reject any blob that has been encoded incorrectly. The system is built to trust the math, and if the math is wrong, the data is blocked.
This means the network acts like a filter. Even if a malicious writer manages to get some bad data onto a few nodes, the system ensures that it never reaches you as a finished product. By the time you try to access a file, the protocol has already verified that everything is exactly as it should be. It is a invisible layer of protection that keeps the whole experience smooth for you.
Cleaning the Digital Attic
One of the most important things we do after finding bad data is cleaning it up. We do not want the Walrus network to get cluttered with useless files that no one can read. Once the nodes agree that a writer was being malicious, they have the permission to delete that data. This keeps the storage space free for people who are actually following the rules and uploading helpful content.
By deleting these "inconsistent blobs," the nodes also avoid extra work. They no longer have to include those files in their daily security checks or challenges. This keeps the whole system running fast and efficiently. It is all about making sure the network is using its energy to protect real, valid data rather than wasting time on a writer's attempt to break the rules.

The Final Verdict on the Blockchain
So how do we make it official that a piece of data is gone for good? The nodes use a process called "attestation."
When enough nodes (a specific majority) agree that the data is bad, they post a message on the blockchain.
This is a permanent record that says this specific file ID is invalid.
It is like a public "do not trust" list for that specific piece of data.
Once this happens, if anyone asks for that data, the nodes will simply reply with an error message and point to the evidence on-chain.
This ensures that everyone is on the same page and that the malicious writer cannot try the same trick again with that same file.
It is a powerful way to keep the Walrus community safe, transparent, and honest.
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$WAL #Walrus @WalrusProtocol

I want to take a moment to talk to you about something we often take for granted: how digital information stays safe when the computers holding it need to change.
In a world of decentralized storage, we use a protocol called Walrus. Since it is decentralized, the group of computers, which we call storage nodes is always changing. People come and go, and new hardware replaces the old.
When a new group of nodes takes over from an old group, we call this a committee reconfiguration.
It is a bit like a relay race where the baton is your precious data. We need to make sure that the handoff is perfect every single time.
If we miss even a small part of that handoff, your files could disappear, and that is exactly what we work to prevent.
I think it is amazing how the system maintains a constant flow of data even when the entire "staff" is being replaced.
Our main goal is to keep the data available at all times, no matter how many times the committee changes between different time periods, which we call epochs.

The Challenge of Moving Massive Data
I want you to imagine moving a massive library from one building to another. In most blockchain systems, you are only moving small pieces of paper. But with Walrus, we are moving huge amounts of state. This is a much bigger challenge because the sheer volume of data is orders of magnitude larger than what most networks handle.
Sometimes, this moving process can take several hours. During those hours, the network has to be careful. If users are uploading new files faster than the nodes can move the old ones, the process could get stuck. We have to manage this race between new information coming in and old information being transferred out.
We also have to prepare for the reality that some nodes might go offline or stop working during the move. To solve this, Walrus uses clever math to recover data even if some parts are missing. It ensures that the "cost" of moving the data stays the same even if some nodes are being difficult or slow.
How We Keep the System Running During the Move
You might be wondering if the system has to shut down while all this moving is happening. The answer is a firm no. We use a very smart design where we never have to stop your reads or writes. We actually keep both the old committee and the new committee active at the same time during the transition.
The moment we start moving things over, we tell the system to send all new "writes" to the new group. However, if you want to "read" an old file, the system still points you toward the old group that has been holding it. This way, there is no downtime for you, and everything feels as fast as usual.
This dual-committee approach is what makes Walrus so reliable. It is like having two teams of movers working together to make sure that while one team is loading the truck, the other team is already setting up the new house. You never lose access to your belongings for even a second.
Using Metadata to Find Your Files
I know it sounds complicated to have two groups of nodes running at once, but we have a very simple way to keep track of it all. We use something called metadata. Every "blob" of data has a small tag that says exactly which epoch it was born in. This tag acts like a map for your requests.
If the tag says the data belongs to the new epoch, the system knows to talk to the new committee. If it is an older file, it goes to the old committee. This only happens during the short window of time when the handoff is taking place. It is a brilliant way to ensure no one gets lost during the move.
Once the handoff is complete, we dont need those directions anymore because the new committee becomes the primary home for everything. I find this to be a very human way of organizing a digital space—simply labeling things so everyone knows exactly where to go.
Signaling When the New Team is Ready
How do we know when it is officially time to let the old committee retire? We wait for a signal. Every member of the new group has to "bootstrap" themselves, which basically means they download and verify all the data slivers they are responsible for keeping safe.
Once a node has everything ready, it sends out a signal to the rest of the network. We wait until a clear majority—specifically more than two-thirds—of the new committee says they are ready. Only then do we officially finish the reconfiguration and let the new group take full control.
This signaling process is like a safety check. It ensures that we never turn off the old system until we are 100% sure the new system is standing on its own two feet. It keeps the data protected and ensures that the transition is based on facts and readiness, not just a timer.

Why This Keeps Your Data Secure Forever
The beauty of this whole process is that it protects the integrity of your data across years of changes.
The security rules of Walrus ensure that even if the nodes change, the data is always held by enough honest participants to keep it alive. This is the core promise of the protocol.
Even if the network faces errors or some nodes act up, the math behind the slivers ensures that the "truth" of your file is never lost.
By requiring such a strong majority to move from one epoch to the next, we create a chain of custody that is incredibly hard to break.
I hope this helps you see that while the technology is complex, the goal is simple: making sure your digital life stays permanent and accessible.
Walrus is built to grow and change without ever forgetting what it is holding for you.
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$WAL #Walrus @WalrusProtocol

I used to think that once you uploaded something to a decentralized network, it just sat there safely on every single computer involved.
I realized pretty quickly that the real world is much messier than that. Sometimes a node crashes or the internet gets laggy, and suddenly a piece of your data never actually reaches its destination.
In the world of Walrus, these little pieces of data are called slivers. If you have ever tried to save a big file while your Wi-Fi was acting up, you know exactly how it feels when things do not go as planned.
I was looking into how Walrus handles this because I wanted to know if my files were actually safe if half the network went offline for a minute.

Most systems just accept that some nodes will be empty-handed, but this project does something different. They use a two-dimensional encoding scheme, which is just a fancy way of saying they lay the data out like a grid.
This grid allows every single honest storage node to eventually get its own copy of the sliver, even if it missed the initial upload.
"Not every node can get their sliver during the initial write."
That is a hard truth I had to wrap my head around. If a node was down when I hit save, it starts out with nothing.
But because of this grid system, that node can talk to its neighbors to reconstruct what it missed. It is like a group of friends trying to remember a song.
Even if one person forgot the lyrics, they can listen to the others and piece the whole thing together.
I found out that nodes do this by asking for specific symbols from the nodes that actually signed off on the data.
They only need to hear back from a certain number of honest nodes to fill in the blanks. Once they get enough pieces, they can recover their secondary slivers. Then they use those to get their primary slivers.
It sounds like a lot of extra work, but it means that eventually, every good node has what it needs to help me out.
"This is the first fully asynchronous protocol for proving storage of parts."
This matters to me because it means the system does not have to wait for everyone to be perfectly in sync.
It just works in the background. Because every node eventually holds a sliver, I can ask any of them for my data later on. This balances the load so one node does not get overwhelmed while others sit idle.

It also means the network can change and grow without having to rewrite every single blob of data from scratch.
"The protocol relies on the ability for storage nodes to recover their slivers efficiently."
If recovery was slow or hard, the whole thing would fall apart. But seeing how Walrus uses this Red Stuff recovery method makes me feel better about where my files are going.
I do not have to worry if a few storage providers have a bad day or a power outage. The system is designed to heal itself and make sure everyone is caught up.
To me as a user, that is the only thing that really counts. It is about knowing that the network is smart enough to fix its own gaps without me ever having to lift a finger.
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$WAL #Walrus @WalrusProtocol

The cursor blinked twice before the confirmation screen even had a chance to load. Usually, you’re used to the wait—that awkward five-second window where you wonder if your gas fee was high enough or if the network is having a bad day.
With Vanar, that hesitation is gone. It’s the first thing you notice when the friction finally stops.
I’ve seen plenty of projects try to build a new world by throwing away everything that came before it. It’s a risky move. Vanar took a different path, one that’s a lot more grounded in reality. They started with the Go Ethereum codebase.

It’s the most battle-tested engine we have. It’s been poked, prodded, and audited by the best minds in the business for years. Instead of trying to build a new engine from parts they found in a garage, the team took a professional racing machine and tuned it for a marathon.
"They aren't here to break the foundation; they're here to make it move faster."
The philosophy is simple. If you want a billion people to use something, it has to be cheap, and it has to be fast. Most blockchains treat low fees like a luxury. On Vanar, low costs are baked into the protocol’s DNA.
They looked at the block times and the transaction logic and realized that the old settings were holding us back. By making specific changes to how blocks are rewarded and how fees are calculated, they turned a crowded highway into an open road.
Security is usually the first thing people worry about when you talk about speed. But because the core is built on Geth, that security is already there. It’s like moving into a house with a reinforced foundation—you can change the layout, but the walls aren't going to fall down.
Then there’s the question of scale. You can’t invite the whole world over if your living room only holds ten people. Vanar adjusted the block size and the consensus mechanics to ensure that as the user count grows, the performance doesn't dip.
It stays lean. It stays responsive.
"The best technology is the kind you don't have to think about."
There’s also a commitment here that you don't see often enough. The entire infrastructure runs on green energy. It means every transaction you send has a zero carbon footprint. It’s proof that high performance doesn't have to come at a high cost to the planet.
When you sit down to build on it, you realize the barriers are gone. There are no "gotchas" or hidden costs. It’s just a clean, secure, and incredibly fast environment that does exactly what it promises.

In a world full of complex promises, Vanar feels like a handshake. It’s steady, it’s reliable, and it’s built to last.
The system doesn't need to shout to be heard. It just needs to work.
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$VANRY #Vanar @Vanar

Have you ever worried about what happens to your photos or files if a big tech company suddenly has a server crash? It is a scary thought for all of us. I want to talk to you about a really cool way we are solving this problem using something called Walrus. This system uses a special design called Red Stuff to make sure your data stays safe even when computers break or people turn them off. Let me break down how this works in a way that makes sense for all of us.
When we store things on the internet we usually rely on one big central group. But Walrus is different because it is decentralized. This means we are spreading data across many different computers all over the world. The big challenge we face is that these computers are not always reliable. Some might lose power or just stop working. If we just made simple copies of your files it would take up way too much space and cost a lot of money.

The Problem of Fixing Broken Parts
Imagine you have a giant puzzle spread out across twenty different houses. If one house loses its piece of the puzzle how do we get it back? In the old days we would have to copy the entire puzzle all over again just to fix that one missing spot. As you can imagine that is a huge waste of time and energy. We call this a high overhead cost and it is exactly what we want to avoid with Walrus.
We need a system that can heal itself without being a burden on the network. We want the cost of fixing a mistake to be small. If only a tiny bit of data is lost we should only have to move a tiny bit of data to repair it. This is why the Red Stuff design is so important. It gives Walrus a way to be self healing so it can last for a long long time without constant manual repairs.
Introducing the Two Dimensional Grid
To solve this problem we use a clever trick called 2D encoding. Think of it like a game of Sudoku or a crossword puzzle. Instead of just writing your data in a long straight line we arrange it into a grid with rows and columns. This is the heart of the Red Stuff protocol. By putting data into a matrix we give ourselves two different ways to find and fix any missing pieces.
When we use this grid for Walrus we are making the data much stronger. If we lose a piece in one direction we can still find it by looking in the other direction. It is a very human way of thinking about organization. If you cannot find your keys by looking on the floor you look on the table. Red Stuff does this automatically for digital information making it nearly impossible to lose the original file.
Protecting the Columns
The first step in this Red Stuff process is protecting the vertical columns of our grid. We take the original file and split it into primary slivers. Each column gets extra information added to it so that if a few rows go missing we can still understand what the column was supposed to say. This is the first layer of defense for everything we store in Walrus.
Each computer in the network is given one of these rows to look after. This part of the design is great for security but it still does not solve the problem of making repairs easy and cheap. If we only had this vertical protection we would still be stuck downloading too much data whenever a single node goes offline. That is why we have to add the second dimension to the mix.
Protecting the Rows for Easy Repairs
This is where the magic happens for Walrus. We take those same rows and we extend them horizontally with even more repair codes. Now every single node in the system is holding two different types of slivers at once. By adding this horizontal layer we make it so we can fix a broken node by only talking to a few other nodes nearby.
Because of this horizontal protection the network does not have to struggle to stay alive. It is efficient and fast. We are basically giving every piece of data a backup that is also connected to every other backup. This double layer of protection is what makes Red Stuff so much better than the older ways of storing things online. It ensures that Walrus stays running smoothly for all of us.
Why Decentralized Storage Needs Red Stuff
You might wonder why we go through all this trouble. The truth is that a system like Walrus is open to everyone. Since anyone can join the network as a storage provider we have to assume that some people will leave or their hardware will fail. We need a system that does not rely on everyone being perfect all the time.
Red Stuff allows Walrus to be resilient in a world where things are always changing. It handles the natural movement of nodes coming and going without losing a single byte of your information. It is like a safety net that is constantly weaving itself back together. This gives us the freedom to store our most important memories without fear.

Building a Better Future for Our Data
At the end, we all want an internet that is reliable and fair.
By using Walrus and the Red Stuff design we are building a foundation that does not depend on any single person or company.
We are creating a way for data to live on its own protected by math and smart design.
This makes the storage cheaper for the providers and safer for us as users.
It is exciting to see how these complex ideas can be used to make our digital lives better.
Whether you are storing a simple document or a high resolution video this technology is working behind the scenes to keep it safe.
Walrus is a huge step forward in how we handle information and I hope this look at Red Stuff helps you see how powerful it really is.
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$WAL #Walrus @WalrusProtocol

Today I want to talk to you about a really cool way we can store information online without relying on just one big company. We call this decentralized storage, and a system named Walrus is making it much better. Usually, if a computer in a network fails, it costs a lot of time and energy to fix the lost data.
Walrus changes the game by using a smart method called Red Stuff. It makes sure that even if parts of the system go offline, your files stay safe. I think it is amazing how we can use math to make sure our photos and documents never truly disappear.
How Walrus Uses a Grid to Protect Your Files
Imagine you have a picture and instead of just saving it once, you turn it into a grid with rows and columns. This is what Walrus does with something called 2D encoding. It splits your data into pieces called slivers and spreads them out across many different computers.

By doing this, we create a safety net for your data. If one row of the grid gets corrupted, we can use the columns to find the missing pieces. It is like a puzzle where every piece has a backup hidden in another direction, making the whole system very tough to break.
Making Data Recovery Faster and Cheaper for Everyone
One big problem with old storage systems is that they use too much internet data when they try to fix themselves. If a new computer joins the Walrus network, we don't want it to have to download everything just to get one small part. That would be slow and expensive for everyone involved.
Walrus solves this by letting computers talk to each other in a very efficient way. A computer only downloads the tiny bits it needs to fill its specific spot in the grid. This keeps the network fast and keeps the costs low, which is exactly what we want when we store huge amounts of information.
Keeping Track of Your Data Without the Clutter
Every file needs a bit of extra info called metadata to prove it is the real deal and hasn't been changed. But if every computer in the Walrus network tried to hold onto all that extra info, they would run out of space. It would be like trying to keep a giant library index in your pocket.
To fix this, Walrus shrinks that info down. It encodes the metadata so that each computer only has to hold a small, manageable piece. This keeps the system light and agile, allowing it to grow to a massive size while still being able to verify that your files are exactly as you left them.
How Saving a File on Walrus Actually Works
When you decide to save something using Walrus, the system goes through a very careful process to make sure it is done right. First, it breaks your file into those primary and secondary slivers we talked about. Then, it sends these pieces out to different storage spots across the network.
Before the job is considered finished, the system waits for enough computers to sign off and say they have the data. Once we get enough signatures, a certificate is made. This gives us peace of mind because we know that even if some computers act up later, the rest of the network has our back.
Getting Your Files Back Whenever You Need Them
When you are ready to look at your file again, the Walrus read protocol kicks into gear. You start by grabbing the bits of metadata from your peers to see how the file was put together. Then, you ask the computers for the secondary pieces of your data.
The best part is that you don't need every single computer to respond to get your file back. As long as you get enough pieces, you can put the whole thing together on your own. It even double-checks the work at the end to make sure nothing was tampered with, so you always get the right file.

Why the Self Healing Feature is a Total Game Changer
The coolest part about Walrus is that it can heal itself without you ever knowing there was a problem.
If a computer loses its data, it doesn't have to ask you to upload it again.
Instead, it asks other computers in the network for the tiny symbols that help it rebuild its missing piece.
This "self-healing" makes the network very reliable over a long period of time.
Because the computers work together to fix gaps, the data stays alive even as old computers leave and new ones join.
It makes the whole system scalable and strong, which is the future of how we will keep our digital lives safe.
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$WAL #Walrus @WalrusProtocol

Have you ever stopped to think about where your photos and files actually go when you save them to the cloud? Most of us just trust a few big companies to keep our memories safe. But today I want to introduce you to a really cool project called Walrus. It is a decentralized storage network that changes how we keep our data safe by using blockchain technology.
Walrus is not just another storage app. It is a system that splits your files into many tiny pieces and spreads them across a whole team of different computers. This means no single person or company owns your data. Instead a community of storage nodes works together to make sure your files are always there when you need them.
I think the most interesting part is how it uses a blockchain to manage everything. The blockchain acts like a digital manager that keeps track of the rules while the nodes handle the heavy lifting of storing the actual files. We are going to explore how this simple but powerful idea is making the internet a more secure place for everyone.

The Teamwork Between Blockchain and Storage
When we talk about Walrus we have to look at how it uses the Sui blockchain as its brain. The blockchain handles the metadata and the rules about who gets to store what. It is like a master ledger that ensures every node in the system is doing exactly what it promised to do for you.
While the blockchain manages the rules a separate group of storage nodes handles the actual content. These nodes are independent which is great because it means the system does not have a single point of failure. If one node goes offline the rest of the team is still there to protect your information.
We can see this as a perfect partnership. The blockchain provides the trust and the organization while the storage nodes provide the space. It is a very clever way to build a library that never closes and can never be burned down.
How Your Data Gets Ready for the Network
Before you send a file to Walrus it goes through a special process called encoding. I like to think of this as turning your file into a puzzle. Walrus uses something called the Red Stuff algorithm to break your data into pieces called slivers. This makes the data much harder to lose.
When this encoding happens the system also creates a unique ID for your file. This ID is based on things like how big the file is and what type of data it contains. It acts like a fingerprint so the network always knows exactly which file is yours and can verify it is correct.
The best part about this is that you do not need all the pieces to get your file back. Because of the way the slivers are created we can lose a few pieces and still reconstruct the entire file. It gives us a level of safety that a regular USB drive or a single server could never offer.
Buying Space and Registering Your Files
When you are ready to store something the first step we take is going to the blockchain to buy some space. You basically tell the network how much data you have and how long you want to keep it there. This is a very transparent process where you pay for exactly what you use.
Once you have your storage space the blockchain records your file and its unique ID. This is like signing a contract that says the network is now ready to take care of your data. It ensures that the storage nodes are prepared to receive the pieces of your file.
I really like this approach because it puts you in control of the cost and the duration. You are not stuck in a confusing monthly subscription with hidden fees. You simply buy the space you need on the blockchain and the network takes care of the rest for you.
How the Nodes Confirm They Have Your Data
After you register your file on the blockchain you send the little slivers of data to the storage nodes. Each node gets its own assigned pieces and a proof that shows the pieces are real. When a node receives its part it checks everything to make sure it matches your file ID.
If everything looks good the node sends back a signed acknowledgment. This is basically the node saying I have your data and it is safe with me. You collect these signatures until you have enough to prove that the network has successfully stored your file.
This part of the process is all about building confidence. You do not have to just hope that the nodes have your data. You get actual proof from the nodes themselves. It is a very interactive way to ensure that your digital items are tucked away safely.
Reaching the Point of Availability
The final big step is called reaching the Point of Availability or PoA. Once you have enough signatures from the nodes you post them back to the blockchain. This tells the whole world and the entire network that your file is now officially available and fully protected.
Once your file reaches this point you can actually delete it from your own phone or computer. The Walrus network is now the official guardian of that data. You can go offline and rest easy knowing that your information is being held by dozens of nodes across the world.
This PoA is also a great tool if you want to show someone else that a file exists. You can just point them to the blockchain record. It is a fast and reliable way to prove that information is available without having to send a giant file over email or chat.
Staying Safe and Recovering Data
The nodes in the Walrus network are very smart and they are always watching the blockchain.
If a node sees that a new file has reached the Point of Availability but it does not have the pieces yet it will automatically start a recovery process.
It talks to other nodes to get the missing parts.
This self healing feature is one of the things I love most about decentralized systems.
We do not have to worry if one computer crashes or if a storage provider disappears.
The rest of the network recognizes the gap and works together to fix it immediately.

By constantly checking and challenging each other the nodes make sure the data stays healthy forever.
It is a living system that is always working in the background to protect our digital lives.
It makes the internet feel a lot more like a community and a lot less like a big corporate machine.
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$WAL #Walrus @WalrusProtocol