The Man Who Told People to Buy $1 worth of Bitcoin 12 Years Ago😱😱
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. what do you think about this. don't forget to comment. Follow for more information🙂 #bitcoin☀️
The Technical Architecture of Scalable Data Management in Walrus
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. what you think about this? don't forget to comment 💭 Follow for more content 🙂 $WAL #Walrus @WalrusProtocol
Robustness in Asynchronous Networks: How Walrus Manages Node Recovery
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. what you think about this? don't forget to comment 💭 Follow for more content 🙂 $WAL #Walrus @WalrusProtocol