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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#bitcoin☀️

Recently, I often drink with a few old friends who are deeply involved in the Solana ecosystem. During our time together, everyone expressed their concerns: has Web3 really become a series of expensive digital islands? I've been pondering this issue, and every time we talk about 'on-chain experience', the scene feels like a large-scale discouragement. If you want to play a game or make a simple DeFi exchange, every step you take triggers a wallet window for you to sign, which is like entering your own living room and having to pull out your keys to unlock a new lock with each step. This fragmented operation logic makes it impossible to retain even the most basic internet users, let alone attract any 'immense wealth'.

A few days ago, I reminisced with some old friends who have been navigating the Solana ecosystem. We discussed the future of high-performance public chains, and there was a persistent sense of anxiety in the air. Even a powerhouse like Solana seems to struggle when facing the global demand for extreme low latency, almost like trying to fit an elephant into a tight suit, always appearing somewhat awkward. I thought at that moment, we always talk about scalability and TPS, but few truly break through that paper wall: when the latency caused by physical distance becomes an insurmountable chasm, does the pursuit of a ‘global unified consensus’ represent a kind of technical arrogance? Recently, I studied the Validator Zone proposal from Fogo, and I realized that this group of geeks has finally begun to confront reality, choosing to embrace it rather than trying to fight against the laws of physics.

A few days ago, I had tea with some old friends who have been navigating the Solana ecosystem, and we talked about the current public chain scalability. Everyone seems to be a bit aesthetically fatigued. Nowadays, project teams are always talking about parallel execution and various ZK proofs. It sounds impressive, but when it comes to high concurrency, we still have to honestly face the delays of the physical world. It's like you are coding in Shanghai, while the server is far away in New York; the speed of light is just there, and no matter how much you optimize the algorithm, that few hundred milliseconds of physical gap acts like a deterrent, turning so-called 'real-time interaction' into a self-indulgence for insiders.

A few days ago, I had drinks with a few old colleagues and we talked about the current performance methods in public chains. I truly found myself shaking my head while toasting. Nowadays, everyone casually mentions things like 'Ethereum killers' or piles up a bunch of impressive-sounding academic terms, but to be honest, most of it is just self-indulgence in the lab. When it comes to actual combat, very few can deliver. I have been keeping an eye on Fogo lately; it's quite interesting. It hasn’t gone for those flashy self-created architectures but has directly adopted the open-source validator from Firedancer, replicating a set of SVM (Solana Virtual Machine) on itself. This approach is quite wild, yet extremely clear-headed because it knows that in the Web3 world, developers are notoriously 'lazy.' Reinventing the wheel will only discourage people, while Fogo's method essentially capitalizes on the existing benefits of the Solana ecosystem, allowing those existing programs and tools to be almost seamlessly transferred. This is the smartest way to catch this wave of 'immense wealth.'

Recently, while having skewers with a few friends deeply involved in the Solana ecosystem, we talked about a topic that made me quite emotional. Everyone was complaining that the current Layer 1 race seems to have fallen into a kind of "mediocre death loop." Whether it's the veteran Ethereum or the various promising layer two networks, once faced with real market fluctuations, the meager throughput and the nerve-wracking delays are a mockery of the five words "decentralized finance." Looking at the miserable bandwidth of dozens of TPS on the Ethereum mainnet, or those so-called high-performance scaling solutions that collectively "crash" or become wildly congested in the face of 5000 TPS, I always feel that we are still far from the industrial intensity of operations at a hundred thousand per second like Nasdaq. This inherent weakness, when facing the high-frequency games of the global financial system, feels like charging at a tank with cold weapons, not only inefficient but also turning the so-called advanced liquidity into the moon in the water and flowers in the mirror.

I was looking through some old digital files the other day and realized how many things I have lost over the years because a service shut down or I forgot to pay a monthly bill. It is a strange feeling to realize your personal history is held by companies that do not really know you. I started using Walrus because I wanted a different way to handle my data that felt more like owning a physical box in a real room. It is a storage network that does not try to hide the reality of how computers work behind a curtain.
You know how it is when you just want a file to stay put without worrying about a middleman. In this system everything is measured in epochs which are just blocks of time on the network. When I put something into storage I can choose to pay for its life for up to two years. It was a bit of a reality check to see a countdown on my data but it makes sense when you think about it. If you want something to last forever you have to have a plan for how to keep the lights on.
"Nothing on the internet is actually permanent unless someone is paying for the electricity."
I realized that the best part about this setup is that it uses the Sui blockchain to manage the time. I can actually set up a shared object that holds some digital coins and it acts like a battery for my files. Whenever the expiration date gets close the coins are used to buy more time automatically. It is a relief to know I can build a system that takes care of itself instead of waiting for an email saying my credit card expired and my photos are gone.
The rules for deleting things are also very clear which I appreciate as a user who values my space. When I upload a blob I can mark it as deletable. This means if I decide I do not need it later I can clear it out and the network lets me reuse that storage for something else. It is great for when I am working on drafts of a project. But if I do not mark it that way the network gives me a solid guarantee that it will be there for every second of the time I paid for.
"A guarantee is only as good as the code that enforces the storage limits."
One thing that surprised me was how fast I could get to my data. Usually these kinds of networks are slow because they have to do a lot of math to put your files back together. But Walrus has this feature called partial reads. It stores the original pieces of the file in a few different spots. If the network can see those pieces it just hands them to me directly without any extra processing. It makes the whole experience feel snappy and responsive even when I am dealing with bigger files.
I also had to learn how the network handles stuff it does not want to keep. There is no central office that censors what goes onto the network. Instead every person running a storage node has their own list of things they refuse to carry. If a node finds something it does not like it can just delete its pieces of that file and stop helping. As long as most of the nodes are fine with the file it stays available for everyone to see.
"The network decides what to remember and what to forget through a messy democratic process."
It is interesting to see how the system gets better as it grows. Most platforms get bogged down when too many people use them but this one is designed to scale out. When more storage nodes join the network the total speed for writing and reading actually goes up. It is all happening in parallel so the more machines there are the more bandwidth we all get to share. It feels like a community effort where everyone bringing a shovel makes the hole get dug faster.
"Capacity is a choice made by those willing to pay for the hardware."
I think the reason I keep using this project is because it treats me like an adult. It does not promise me magic or tell me that storage is free when it clearly is not. It gives me the tools to manage my own digital footprint and shows me exactly how the gears are turning. There is a certain peace of mind that comes from knowing exactly where your data is and how long it is going to stay there. It makes the digital world feel a little more solid and a little less like it could vanish at any moment.
"Data ownership is mostly about knowing exactly who is holding the pieces of your life."
I have started moving my most important documents over because I like the transparency of the whole process. I can check the status of my files through a light client without needing to trust a single company to tell me the truth. It is a shift in how I think about my digital life but it is one that makes me feel much more secure. Having a direct relationship with the storage itself changes everything about how I value what I save.
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$WAL #Walrus @WalrusProtocol

I found out the hard way why Walrus is different. It happened on a Tuesday when my local network was acting like a total disaster. I was trying to upload a large file and half my connection just died mid-stream. Usually that means the file is broken or I have to start over from scratch because the data did not land everywhere it was supposed to go. In most systems if a node crashes or the internet hiccups while you are saving something the data just stays in this weird limbo. But with Walrus I noticed something strange. Even though my connection was failing the system just kept moving. It felt like the network was actually helping me fix my own mistakes in real-time.
"The network does not need every piece to be perfect to keep your data alive."
That is the first thing you have to understand about being a user here. When we upload a blob which is just a fancy word for any big chunk of data like a photo or a video it gets chopped up. In other systems if the storage node meant to hold your specific piece of data is offline that piece is just gone until the node comes back. Walrus uses this two dimensional encoding trick that sounds complicated but actually works like a safety net. If a node wakes up and realizes it missed a piece of my file it does not just sit there being useless. It reaches out to the other nodes and asks for little bits of their data to rebuild what it lost.
I realized that this makes everything faster for me as a consumer. Because every node eventually gets a full copy of its assigned part I can ask any honest node for my file and get a response. It is all about load balancing. You know how it is when everyone tries to download the same popular file and the server chokes. Here the work is spread out so thin and so wide that no single point of failure can ruin my afternoon. It feels like the system is alive and constantly repairing itself behind the curtain while I just click buttons.
"A smart system expects things to break and builds a way to outlast the damage."
Sometimes the person sending the data is the problem. Not me of course but there are people out there who try to mess with the system by sending broken or fake pieces of a file. In a normal setup that might corrupt the whole thing or leave you with a file that wont open. Walrus has this built in lie detector. If a node gets a piece of data that does not fit the mathematical puzzle it generates a proof of inconsistency. It basically tells the rest of the network that this specific sender is a liar. The nodes then agree to ignore that garbage and move on. As a user I never even see the bad data because the reader I use just rejects anything that does not add up.
"You cannot trust the sender but you can always trust the math."
Then there is the issue of the people running the nodes. These nodes are not permanent fixtures. Since Walrus uses a proof of stake system the group of people looking after our data changes every few months or weeks which they call an epoch. In any other system this transition would be a nightmare. Imagine trying to move a whole library of books to a new building while people are still trying to check them out. You would expect the service to go down or for things to get lost in the mail. But I have used Walrus during these handovers and I barely noticed a thing.
The way they handle it is pretty clever. They do not just flip a switch and hope for the best. When a new group of nodes takes over they start accepting new writes immediately while the old group still handles the reads. It is like having two teams of movers working at once so there is no gap in service. My data gets migrated from the old nodes to the new ones in the background. Even if some of the old nodes are being difficult or slow the new ones use that same recovery trick to pull the data pieces anyway. It ensures that my files are always available even when the entire infrastructure is shifting underneath them.
"Data should stay still even when the servers are moving."
This matters to me because I am tired of worrying about where my digital life actually lives. I want to know that if a data center in another country goes dark or if a malicious user tries to flood the network my files are still there. Walrus feels like a collective memory that refuses to forget. It is not just about storage but about a system that actively fights to stay complete and correct. I do not have to be a genius to use it I just have to trust that the nodes are talking to each other and fixing the gaps.
"Reliability is not about being perfect but about how you handle being broken."
At the end of the day I just want my stuff to work. I want to hit save and know that the network has my back even if my own wifi is failing or if the servers are switching hands. That is why I stick with Walrus. It turns the messy reality of the internet into a smooth experience for me. It is a relief to use a tool that assumes things will go wrong and has a plan for it before I even realize there is a problem.
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$WAL #Walrus @WalrusProtocol

I have been looking for a way to save my files without relying on the big tech companies that seem to own everything we do online. I finally started using Walrus and it changed how I think about digital storage. You know how it is when you upload a photo to a normal cloud service and just hope they do not lose it or peek at it. This feels different because it is a decentralized secure blob store which is just a fancy way of saying it breaks your data into tiny pieces and scatters them across a bunch of different computers. I realized that I do not have to trust one single person or company anymore because the system is designed to work even if some of the nodes go offline or act up.

When I first tried to upload something I noticed the process is a bit more involved than just dragging and dropping a file. It starts with something called Red Stuff which sounds like a brand of soda but is actually an encoding algorithm. It takes my file and turns it into these things called slivers. I found out that the system also uses something called RaptorQ codes to make sure that even if some pieces get lost the whole file can still be put back together.
"The biggest lie in the cloud is that your data is ever truly yours."
That is the first thing I realized when I started diving into how this works. With this project I actually feel like I have control. After my computer finishes the encoding it creates a blob id which is basically a unique fingerprint for my file. Then I have to go to the Sui blockchain to buy some space. It is like paying for a parking spot for my data. I tell the blockchain how big the file is and how long I want it to stay there. Once the blockchain gives me the green light I send those little slivers of data out to the storage nodes.
I learned that these nodes are just independent computers sitting in different places. Each one takes a piece and then sends me back a signed receipt. I have to collect a specific number of these receipts to prove that my file is actually safe. Once I have enough I send a certificate back to the blockchain. This moment is what they call the point of availability. It is the exact second where I can finally breathe easy and delete the file from my own hard drive because I know it is living safely on the network.
"Storage is not just about keeping files but about proving they still exist."
Using this system makes you realize that most of our digital lives are built on pinky promises. With this project the blockchain acts like a manager that keeps everyone honest. If a node forgets my data or tries to delete it early the blockchain knows. There is a lot of talk about shards and virtual identities in the technical documents but as a user I just see it as a giant safety net. Even if a physical storage node is huge it might be acting as many smaller virtual nodes to keep things organized. It is just the way things are in this new kind of setup.
When I want my file back the process is surprisingly fast. I do not have to talk to every single node. I just ask a few of them for their slivers and once I have enough I can reconstruct the original file. The cool thing is that the math behind it makes sure that if the file I put together does not match the original fingerprint the system rejects it. This means no one can secretly swap my cat video for a virus without me knowing immediately.
"A system is only as strong as the math that keeps the nodes in line."
I used to worry about whether decentralized stuff would be too slow for regular use. But they have these things called aggregators and caches that help speed things up for popular files. If everyone is trying to download the same thing the system can handle the traffic without breaking a sweat. It feels like the internet is finally growing up and moving away from the old way of doing things where everything was stored in one giant warehouse that could burn down or be locked away.
"You should not have to ask for permission to access your own memories."
Every time I upload a new project or a batch of photos I feel a little more secure. It is not about being a computer genius or understanding every line of code in the Merkle trees or the smart contracts. It is about the reality of knowing that my data is not sitting on a single server in a basement somewhere. It is spread out and protected by a committee of nodes that have a financial reason to keep my stuff safe.
"True privacy is found in the pieces that no one person can read alone."
I like that I can go offline and the network just keeps humming along. The nodes are constantly listening to the blockchain and if they realize they are missing a piece of a file they go through a recovery process to fix it. It is like a self-healing library. As a consumer I just want my stuff to be there when I need it. This project gives me a way to do that while staying away from the typical gatekeepers of the web. It is a bit of a shift in how we think about the internet but it feels like the right direction for anyone who values their digital freedom.

$WAL #Walrus @WalrusProtocol

Have you ever wondered how big data stays safe and accessible in a decentralized world. When we look at the Walrus protocol we are really looking at a clever way to store information so that it never gets lost even if some computers go offline. I want to walk you through how the Read Protocol works within Walrus because it is quite different from your average file download. In this system we use things called nodes to hold pieces of data.
When you want to read a blob of data in Walrus you start by asking for commitments. These commitments are like digital fingerprints that prove the data is real. You do not just take one person word for it. Instead you check these fingerprints against the original record to make sure nobody is trying to trick you. This is the first step in making sure the Walrus network remains honest and reliable for every user involved.
Once you have the right fingerprints you move on to requesting the actual pieces of the file. In the Walrus system these pieces are called primary slivers. You might not get them all at once because the system can send them gradually to save on internet speed. This smart way of handling data is what makes Walrus feel so smooth even when the files are massive.
How Walrus Decodes and Verifies Your Information
The magic happens when you collect enough of these slivers. In the Walrus environment we typically need a specific number of correct pieces to put the puzzle back together. Once you have these pieces you decode them to see the original file. But the Walrus protocol does not stop there. It actually re-encodes the data one more time to double check that everything matches the original post on the blockchain.
If the re-encoded data matches what was originally promised then you get your file. If something is wrong the system simply outputs an error. This rigorous checking is why we can trust Walrus with important information. It ensures that what you write into the system is exactly what you get out of it later. We are basically using math to create a shield around our digital content.
This process might sound complicated but it happens behind the scenes to keep your experience simple. By using these mathematical proofs Walrus avoids the typical risks of central servers. You are not relying on one company but rather on a network of nodes that all verify each other. This transparency is the core strength of the Walrus storage solution.
The Power of Sliver Recovery in the Walrus Network
One of the coolest features of the Walrus protocol is how it handles missing pieces. Sometimes a computer might go offline before it gets its share of the data. In a normal system that might be a problem. However Walrus uses a method called Red Stuff which allows nodes to recover their missing slivers from their neighbors. It is like asking a friend for the notes you missed in class.
Nodes can recover their secondary slivers by asking other honest nodes for specific symbols. Because of the way Walrus organizes data in rows and columns these nodes can rebuild what they are missing quite easily. This means that over time every honest node in the Walrus network will eventually have the full set of information they need to be helpful.
This recovery process is very efficient. Even though nodes are sharing and rebuilding data the cost stays low. The Walrus design ensures that the total communication needed is not much more than a regular read or write. This efficiency is what allows Walrus to grow very large without slowing down or becoming too expensive for the people using it.
Smart Optimizations for Better Performance in Walrus
We are always looking for ways to make things faster and Walrus has some great tricks up its sleeve. One big optimization involves something called source symbols. These are pieces of the real data that have not been scrambled by complex math yet. If you can read these source symbols directly you save a lot of time and computer power.
In the original design of systems like this some data might only live on one node. If that node went to sleep you would have to do a lot of extra work. Walrus fixes this by shuffling where these symbols go. By using a random process Walrus spreads the data out more evenly across the network. This load balancing makes sure no single node gets overwhelmed with requests.
Another smart move in Walrus is reversing the order of symbols during encoding. This means every piece of original data actually exists in two different places. If one node is busy or offline you can just grab the data from the second node. This redundancy makes reading from Walrus much more reliable without adding a lot of extra weight to the system.
Reliability and Fault Tolerance in Walrus
The ultimate goal of the Walrus protocol is to be a truly dependable storage system. Because of the way it handles slivers it is very hard for the system to fail. Even if some nodes act up or go offline the remaining honest nodes have enough information to keep the Walrus network running perfectly. This is what we call being fault tolerant.
When you write data to Walrus the system makes sure that enough nodes have received their pieces before it considers the job done. This guarantees that the data is anchored safely. If a reader comes along later they are guaranteed to find enough pieces to recover the original file. This bond between the writer and the reader is the foundation of the Walrus community.
We also have a rule for consistency. If two different people try to read the same file from Walrus they will always get the same result. They might use different sets of slivers from different nodes but the math ensures the final file is identical. This consistency is vital for any system that wants to replace traditional cloud storage with something more modern and decentralized.
Why Scalability Matters for the Future of Walrus
As more people join the Walrus network the system needs to stay fast. Traditional protocols often get slower as they add more nodes but Walrus is built differently. Because the cost of recovering files is independent of the total number of nodes the system can scale up to massive sizes. This makes Walrus a perfect candidate for global data storage.
We also see that Walrus is very smart about how it uses hardware. It can store the main data on fast drives and keep the recovery pieces on slower cheaper storage. Since the recovery pieces are only needed when something goes wrong this saves money for everyone involved. It is a practical approach to building a high tech storage network.
I think the most exciting part of Walrus is how it combines complex math with a very human goal of keeping our data safe and accessible. It gives us the freedom to store our digital lives without fear of censorship or loss. As we continue to build and improve this protocol the potential for what we can achieve together only grows larger.
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$WAL #Walrus @WalrusProtocol