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株式会社プラスワン．採用情報

PlusOne

On our first set of data structures, we get into the definition and scope of non-primitive structures. Have a look at the previous read on in case you feel a little lost. Right off the batt, we define what it means to be a non-primitive set, and how this can be further broken down. The Power of Data structures Let's get right into it. A non-primitive structure is what happens when you combine two or more primitives. What we mean is simple. A and , for instance,  are primitives. The simplest representations of data. char int Broadly speaking, linear non-primitives can be grouped further as below: Linear Non-Primitives Stacks Queues Linked lists Arrays Here, as stated before, data is sequential - one after another. Some of these structures might , stackify, is that you?. ring a bell Arrays These are what we call stores of homogeneous (meaning similar) data. So one might have an array like this: my_array = [ , , , , , , , , ] ;

vowels = [ , , , , ] ; 1 2 3 4 5 6 7 8 9 ' a' 'e' 'i' 'o' 'u' Note how has only integers while has . In both instances, our array has a collection of primitives - . my_array vowels char one type of primitive per array Arrays are of a fixed size. Once declared, the computer knows the amount of memory reserved for items to be stored there.  You might ask: "But what if the type of data I have changes in size greater than the array?" Well, you might need to consider a different type of structure to store this data. Use arrays, for instance, to store months of the year. We will not be changing this count anytime. Above declared, the sizes of the arrays are inferred. Meaning the types, since not defined per se, are  'figured out' based on the values and how we use them. We might as well have this: For python. array

count_down = array.array( , [ , , , , ]) import 'i' 5 4 3 2 1 # where *i* stands for int (an array of integers). Types may go on as: for c char for f float for d double for and so forth. u Unicode Have a look at the for more insight into this. As well, take note that the has different functions to enable array manipulation. documentation array module Rust: count_down: [ ; ] = [ , , , , ]; let i32 5 5 4 3 2 1 // where *i32* is signed integers, and *5* in *[i32; 5]* is the size of the array. i.e have five integers Important pointer: Python lists and arrays are not the same! Operations on an array will be based on the of the array element, with indexing starting from . Hence, the first item, in either case, would be: index 0 count_down [0] The result from the above is 5 (the semi-colon has been left out for brevity but should be used based on the language you are using). Let's take a look at another structure that looks similar, but is not the same - Linked lists. Linked lists Unlike arrays, linked lists store data in a non-contiguous form. This implies one piece of data is not placed side by side to the other as: `[1,2,3,4,5]`, rather it is stored in form of nodes with pointers to the next as so: [data1, pointer_to_data2] ...  [data1, pointer_to_data3] ... so and on The last item in our linked list, since there is no pointer to the next, would have . null As well, linked lists are dynamic-  their size is not fixed at initialization. Linked lists will be further broken to: a) Singular linked lists (used in the elaboration of linked lists above) b) Circular linked lists c) Doubly linked lists Circular Linked Lists These have three items in a node: the previous data, the data, and finally, the next data in the sequence. ... [null, data1, pointer_to_data2] [pointer_to_data_1 ,data1, pointer_to_data3] The first item (the head), has a as the previous pointer while the last node has on the next pointer. null null Doubly linked lists Similar to circular linked lists, these have two pointers as well. The only difference would be the last node, instead of a , has a pointer back to the first item in the list. 1 + 1 = circular. null In most of what we implement through code, we have implementations of linked lists. You will hardly get yourself doing this manually, but understanding that some of the things we call 'mutable arrays ' are actually implementations or wrappers around more complex structures. Example: If navigating through my directory, my computer needs to know where I am, where I'm from, and possibly have the correct link/structure to the nested directory I'm navigating to. So to the top-level directory, I cannot go any higher, no previous node. Likewise to the last directory or file, there is no 'next' option. Till now, we have come to understand the importance of data structures, the groups they have been placed into, and we have an idea of what some of the linear data structures involved. We could go on and on on the details of each, but that is a tale for another day. A breather for us both at this point.  Go read something non-algorithm-like for a moment. We'll still meet here, same time, the same drive. Previously published at: https://thegreencodes.com/data-structures-the-linear-non-primitives

Representations of Data: One Primitive Plus One Primitive Equals Linear Non-Primitives

Hi everyone, my name is Max Nechaev. I'm an iOS developer and a startup founder. Over the last six months I've traveled a really interesting path, which is full of complexity, uncertainty, trial, error, and fan. We've all thought about our own business at some point. What if you don't work for someone else? What if you could try starting something of your own? Would I be able to do it? I run into these questions quite often. But what's the reasoning here? The point is that if you put your fears aside and try to answer this question as truthfully as possible, you most likely won't be able to give a clear and concise answer. This is where we run into that winged phrase "You won't know until you try". It was after this realization that a seed settled in my mind that sprouted and gave me more and more food for thought each day and each week. Eventually, I realized that I was going to try and create my startup in the IT industry. Market preparation and analysis The first thing that was important to me was mental preparation. I read books on management and business. I spent a lot of time watching videos on different niches, analyzing entrepreneurs and their strategic decisions. Before starting work on any project, it is very important to be ready for it from the inside, not just "think of something and do it". YouTube Second, analyze the market. You can't just take and make any application, because the market is big, there are prevalent trends, there are leaders and outsiders, there are money niches, and there are niches where there is no money in general, no matter how much marketing budgets you pour into it. There are plenty of niche analytics sites out there, at first I used . It helps us in finding apps in different niches in different countries. Moreover, you can see who is earning how much (the only issue I have is that it doesn't show how much someone spends on marketing, so you won't see the real net profit). SensorTower In this article, I would like to share the steps we have taken, not a specific case study, so I will not go into the details of the research. We are not a million-dollar company yet, so there are no working cases yet, but those who are interested in this topic will find a lot of useful tips here. So I will say this. We've settled on a niche of apps that help content creators and SMM specialists. Team building "One man can't fight alone." I keep bombarding you with catchphrases. But in the 21st century, this is the purest truth. I am not used to hearing "success stories" about how some programmer from the village did something and became a millionaire. Because even if there are such cases, it is rather an exception to the rule. It is very important not to fall into the "survivor's syndrome". Don't get me wrong, every good developer can write his first alone. But only if we are talking about real commercial success, multiple financial growth, and high productivity, we are talking about a team. MVP In the first stages, we don't need a big office and several development departments. We need to cover several areas: frontend, backend, design, marketing. You don't necessarily need 4 people, because, often, many mobile apps don't need a backend, plus one person can fulfill multiple roles. I'm lucky here, I have a background as a marketer. I understand how metrics work, ad rooms, what creatives are, what they should look like, and what it takes to get the whole thing up and running. I'm not saying I'm the best at it, but this level is enough for the first stages of a startup's life. So I've been doing iOS development and marketing for the project. Going through a cool school from I realized that a co-founder is needed. A person who will share my values and move in the same direction as me. Startups with co-founders are many times more likely to succeed than those with a single founder. This is shown by the statistics that the folks at have compiled. If you're interested in specific numbers, I encourage everyone to go to their school. Y Combinator Y Combinator My co-founder (surprise surprise) is a backend developer. This means in addition to some business decisions, he'll be able to take on that role as well. This will greatly simplify iOS development (because most of the logic will be put on the backend). And of course, it will increase our speed a lot. We are both senior developers, which means that we will be able to think through everything competently and do it optimally with minimal financial and time investments. There is one last role left uncovered. UX/UI Designer. Because of where I am in the IT industry, I have a lot of talented people around me. So to be honest, I found the designer even earlier than the co-founder. She will also get a share of ownership of the startup and the head designer position when the staff grows. So together we are covering all the initial needs. With a team like this, we can make neither one nor two apps. Maybe we will expand our team and take new people. For now, we plan to take only some temporary outsourcing for adequate money (if necessary). From the start, we build in processes. Set goals and objectives. We make development boards, put up milestones, and spread everything out by dates. We calculate the economics of projects, plan investments, how much, and at what stages. In general, operational activities are also starting to go full speed. Design development At this stage, we have started on the application’s UI. Our goal is style, usability, and beauty from the user's point of view. We have thoroughly analyzed the competitors and identified the weaknesses of each. After that, by improving their apps we create our own. As part of the design, I also laid out a set of objectives. The designer has deadlines for working out each screen. She has a description of the functionality. The goals of the app and the problem it solves. We average 4-5 days of work (not full-time) per screen. Again, some people will find it too long, and some will find it too fast, but at this stage, it works and we are satisfied with it. We work out the entire design in . All task descriptions, boards, and project descriptions are in . Figma Notion Our application allows users to create and generate text content for social networks. That's why we developed the most simple and understandable design, which will completely cover the problem with writing posts, scripts, their organization, etc. Application Architecture Now I'm not talking about the architecture of the iOS part, but mostly about the architecture in general. I'll be honest, initially, the app was made only for the iOS platform and stores everything locally. I didn't intend to add a backend, but later on, I reconsidered my decision. For this purpose, I had to rewrite parts of the functionality. At the same time, it was an important note not to break the existing one. So, it turns out that we are making a full-fledged client-server application, so everything becomes clearer with the architecture. We have a "service" that is responsible for user registration and authorization, it simplifies the work of the iOS application because you just need to send a couple of requests to the backend and the "magic" begins. For the next step, we needed to pull up the database. That's where we will store users, their IDs, data, and content. Separate from that, we need to create a service for working with the database. Because the application should synchronize well with it every time the user opens the application. Yes, yes, you heard right. For now, we are running with somewhat limited functionality of full synchronization, as we don't need it that much. The main point of creating a backend and pulling user-generated content there is to preserve progress. No one wants to delete an app or change phones and lose all their data and all their content. So at this stage, it's still the goal to preserve, not to make seamless instant synchronization for cross-platforming. This is where I'd like to bring up the topic of "optimality". Often, aspiring startups (like us) make a huge mistake of trying to make the perfect product. They spend a huge amount of time (and some even financial resources) to make an ideal product to beat everyone else in the market. But the truth is, it's likely that they'll never make it to release. With limited resources, the word "perfect" is inapplicable. Even the first versions of were pretty ridiculous (not to mention ). I, on the other hand, am a stickler for the word "optimality". It's much more important and more succinct. Instead of making the perfect product, the perfect design, the perfect architecture, and the perfect servers that can handle colossal loads, I will make an optimal solution. It will work fine. NORMAL. And no more. I can refine everything else gradually, as long as the optimal solution generates some cash for me. Facebook Amazon The iOS architecture Now for the most interesting part. Since I'm an iOS developer, I'd like to write more technical "stuff" here. What we used, why, and what problems we encountered. SwiftUI Oh, yeah. We gave up on UIKit. It's even more accurate to say that "I gave up". I decided that since I'm starting to write something from scratch, let it be new and promising technologies. Moreover, SwiftUI is quite easy to layout, screens are made fast. Animations are also easy to implement. Moreover, SwiftUI is reactive, we are working with the Combine framework and it works quite well, no matter what anyone says. Moreover for future hiring, I believe this will be a big plus. There are a huge number of talented developers who already really want to move to 100% SwiftUI but are not yet able to do so. The overwhelming number of apps are still on UIKit. Rewriting them to a new framework is long and expensive, and businesses don't like those words. Did I regret choosing ? SwiftUI To be honest, despite all the pluses of the new framework, there are some outright minuses. For example, navigation. Yes, most developers have problems with it. It's not obvious enough how to take the routing logic into a separate entity, encapsulate it there, and take this responsibility away from the UI (like we're used to in UIKit). With iOS 16 this has gotten a lot easier and clearer, but the problem is that we're still supporting iOS 15 after all. Some guys write their extensions and somehow find a way to bring out the logic of routing through several levels of abstraction, we didn't have the resources for that. That's why we got the classic SwiftUI routing. We also encountered problems with the custom TabBar, which did not want to work correctly. Spent about 4 days doing everything competently. Is reactivity a pain? For many developers, creating reactive applications is a challenge. Especially for those who have never worked with this paradigm. I had a pretty good experience working with RxSwift, so in general, the approach was familiar. I just needed to understand how it all worked inside SwiftUI and how to build the architecture. At the dawn of SwiftUI's launch, everyone was talking about how MVVM was the perfect design pattern for it. Over the last six months, I've been hearing the opposite viewpoint, that MVVM is not suitable for SwiftUI, but that MVI is already laying down quite interestingly. I took the classic approach that Apple recommends. I had several managers that were needed in many places in the application, created one instance, and passed it throughout the UI hierarchy as an Environment variable. Admittedly, I made separate ViewModels for screens a couple of times, as I didn't see the point of making the class an observable manager. Conclusions So, I would like to summarize the above and the results of the first launch. Would I choose SwiftUI for my next application? Most likely yes. But while writing the application, I will be more careful in writing code, create more reusable UI components, and adhere to MVI architecture more strictly. Is a team really necessary? Yes, when you are not alone, you feel more confident, and you feel responsible not only for your destiny but also for your guys. It is always more interesting and precise to think through business or technical architecture together. Plus the saying "one head is good, but two are better" works perfectly here. Now the desire is only to increase the company's staff. What about the finances? It would be foolish to expect big income at the start of the project, so I consider only investments, investments, and once again investments. Of course, a small income begins to appear, and people buy subscriptions, but it is not comparable to the amount of money that comes from investments. I understand these risks and take them into account. Building your own business is a long-term game, full of risks and costs. Emotionally, I am ready for it. It is not an easy path, but I think it is quite realistic for me. Would I advise all developers to follow this path? Of course not. There are dozens of talented developers around me, they are happy, and they earn a lot of money with rather low responsibility. They have a lot of free time. They travel and spend money on whatever they want. Do they need to throw money into the bonfire of a business that could go out at any moment? Probably not. Everyone chooses their own way. I, for example, can't live without it all, and for some people, it's a real hell. I do not condemn either of them, and I am very glad that each person chooses his own way. Thanks for your time, for any questions you can contact me by mail or on Telegram (@maxnech) (or ). LinkedIn

How We Launched Our First MVP in the iOS App Market

Introduction: If you search the internet for a library that can generate sequences, you can hardly find one, although sequences are a core concept of discrete mathematics and computer science. In this short article, we will take a look at a library I wrote for the sequence generation called . SeqGen What Is A Sequence? A sequence (informally speaking ) is a set of elements (mostly numbers) where the production of each element is based on the preceding element(s). The most basic example is a simple linear sequence of positive integers where the first element is 0 and the next element is the preceding element plus one, so we can get the second element by adding one to the first one, and we can get the third element by adding one to second one, and so on. The linear sequence would look like this: . {0, 1, 2, 3, …, n} A more complex example could be the Fibonacci sequence where the first two elements are 0 and 1, and the next element is the sum of the two preceding elements. The Fibonacci sequence would look like this: {0, 1, 1, 2, 3, 5, 8, 13, 21, …, n} We can notice from above that a sequence is defined with two properties: The initial elements A function that produces the next element Using the Library: Dependencies: The SeqGen library is written in the Rust programming language; to follow up, you need to have . Rust installed Creating A Project: Let’s create a new project to use the SeqGen library; we can do so with cargo: $ cargo new --bin sequence && cd sequence Now, let’s add the library as a dependency to our project: $ cargo add seqgen Now, we are ready to use the library. Creating A Sequence: In SeqGen, the sequence creation process maps directly to the two properties of the sequence that we concluded in the What is A Sequence section; we have to define the initial elements and the function that produces the next element (called the transition function in SeqGen). Let’s create the linear sequence: use seqgen::prelude::*;

fn main() {
    let linear_seq = Sequence::new()
        .initial_elements(vec![0])
        .transition_function(|alive_elements, current_element_index| {
            alive_elements.last_element().unwrap() + 1
        });
} The type is a struct that represents a sequence; by calling the associated function on this type, we get a new instance that is undefined. On this undefined instance, we can call methods to define it. Sequence new() The first method is which accepts a vector of elements as an argument, and sets it as the initial elements of the instance. initial_elements() The second method is which takes as an argument a closure that represents the transition from the currently available elements to the next element. transition_function() This closure has access to two arguments: the first is which represents the currently available elements, and the second is (of type ) which is the index of the current element in generation. See the table below for an illustration of the transition function. alive_elements current_element_index usize Current Element in Generation alive_elements current_element_index 1 [0] 1 2 [0, 1] 2 3 [0, 1, 2] 3 n [0, 1, 2, 3, …, n] n is of type , we will take a look at the type later in this article alive_elements SequencePart SequencePart Since the index of the element is also its value in the linear sequence, we can simplify the example above to: use seqgen::prelude::*;

fn main() {
    let linear_seq = Sequence::new().transition_function(|_, i| i);
} Here, we do not need to define the initial elements, and we do not need access to the live elements; we just need the index (which is named in this case), and we simply return it. i In the same manner, we can define the Fibonacci sequence: use seqgen::prelude::*;

fn main() {
    let fib_seq = Sequence::new()
        .initial_elements(vec![0, 1_u128])
        .transition_function(|alive_elements, i| {
            let x = alive_elements.nth_element(i - 1).unwrap();
            let y = alive_elements.nth_element(i - 2).unwrap();

            x + y
        });
} Since the Fibonacci sequence grows exponentially, generating more than 187 elements with this definition will cause to overflow. A better definition would use big int instead of . u128 u128 : Using the Sequence After we defined our sequence, we can access its elements: use seqgen::prelude::*;

fn main() {
    let mut linear_seq = Sequence::new().transition_function(|_, i| i);
    let some_element = linear_seq.nth_element(111);
    println!("{some_element}");
} Here, we are accessing the 111th element using method which returns an immutable reference to the element ( in this case). nth_element() &usize Notice that we made mutable. That’s because the method will mutate the alive elements of the sequence. linear_seq nth_element() In this way, we can access any element of the sequence (from the element with an index of to the element with an index of .) 0 usize::MAX We can also iterate over the sequence like any Rust iterator: use seqgen::prelude::*;

fn main() {
    let linear_seq = Sequence::new().transition_function(|_, i| i);
    linear_seq.for_each(|e| println!("{e}"));
} This code will print all the elements of the sequence (from the element to the element ): 0 usize::MAX $ cargo run -q
0
1
2
3
4
5
6
7
8
9
10
11
12
13
... We can get the odd elements from the sequence using the following code: use seqgen::prelude::*;

fn main() {
    let linear_seq = Sequence::new().transition_function(|_, i| i);
    let odd_elements = linear_seq.filter(|e| e % 2 != 0);

    odd_elements.for_each(|e| println!("{e}"));
} Output: $ cargo run -q                                                            
1
3
5
7
9
11
13
... The sequence we define is lazy, meaning the elements won’t be generated unless needed (in case of iteration), or explicitly requested (using the method or other methods). nth_element() : Working With Parts of the Sequence Sometimes, we need to only work with parts of a sequence, in this case, we have sequence parts. There are three types of the sequence part: AliveElementsPart ImmutableRangePart MutableRangePart AliveElementsPart: We can get the live elements using the method on the sequence: alive_elements() use seqgen::prelude::*;

fn main() {
    let linear_seq = Sequence::new()
        .transition_function(|_, i| i)
        .pre_generate(111);

    let alive_elements = linear_seq.alive_elements();

    for alive_element in alive_elements {
        print!("{alive_element} ");
    }
} This code will print all the alive elements (0 to 110 in this case because we pre-generated 111 elements). ImmutableRangePart: Immutable ranges are ranges of the alive elements; they cannot mutate the sequence. If you will create an immutable range and not all its elements are alive, you will get an error ( error). DeadRange We can create an immutable range using the method which returns a . The variant is , and the variant is . The could be the variant (in case the start of the range is greater than its end), or it could be variant (in case not all elements of the range are alive): range() Result Ok ImmutableRangePart Err RangeError RangeError InvalidRange DeadRange use seqgen::prelude::*;

fn main() {
    let linear_seq = Sequence::new().transition_function(|_, i| i);
    let range = linear_seq.range(0, 3).unwrap();

    for e in range {
        println!("{e}")
    }
} This code will panic with error because there is no alive element. We can correct this with the following: DeadRange use seqgen::prelude::*;

fn main() {
    let mut linear_seq = Sequence::new().transition_function(|_, i| i);

    linear_seq.generate(3);

    let range = linear_seq.range(0, 3).unwrap();

    for e in range {
        println!("{e}")
    }
} Here, we generated 3 elements to make the range valid. MutableRangePart: A mutable range can mutate the sequence (generate elements). We can use a mutable range like so: use seqgen::prelude::*;

fn main() {
    let mut linear_seq = Sequence::new().transition_function(|_, i| i);
    let mut_range = linear_seq.range_mut(0, 111).unwrap();

    for e in mut_range {
        println!("{e}");
    }
} This code will print the elements from 0 to 110. Outroduction: Thank you for reading this article to the end, and I hope you found something useful in it. If you have any suggestions that can improve this library, please , and if you want to , that would be wonderful. open an issue on GitHub contribute to the library Also published here

SeqGen: The Library I Created for Sequence Generation

SeqGen: লাইব্রেরি আমি সিকোয়েন্স জেনারেশনের জন্য তৈরি করেছি

SeqGen: Die Bibliothek, die ich für die Sequenzgenerierung erstellt habe

SeqGen: la biblioteca que creé para la generación de secuencias

SeqGen : la bibliothèque que j'ai créée pour la génération de séquences

SeqGen: वह लाइब्रेरी जो मैंने अनुक्रम निर्माण के लिए बनाई थी

SeqGen: シーケンス生成用に作成したライブラリ

SeqGen: 시퀀스 생성을 위해 만든 라이브러리

SeqGen: a biblioteca que criei para geração de sequências

SeqGen: библиотека, которую я создал для генерации последовательностей

SeqGen: Dizi Oluşturma için Oluşturduğum Kütüphane

SeqGen: Thư viện tôi đã tạo để tạo trình tự

SeqGen：我为序列生成创建的库

In a bold move that redefines the blockchain landscape, announces the launch of its innovative WOW EARN Chain, now operating as a . This significant technological advancement positions the WOW EARN Chain at the forefront of blockchain innovation, offering unmatched efficiency, global accessibility, and a suite of unique features. WOW EARN Layer 1 blockchain Helping developers at all stages of development, WOW EARN Chain's mission goes beyond being just a public chain. It focuses on discovering and supporting innovative, high-potential developers and projects. WOW EARN chain will continuously improve the efficiency of Ethereum, providing supplementary expansion and support for the Ethereum ecosystem. By leveraging WOW EARN's comprehensive web3 ecosystem, the chain aims to become the birthplace of innovative technologies and businesses, establishing a complete cycle of technology development, application promotion, and efficient transactions. Key Highlights of WOW EARN Chain Strategic Shift to Layer 1: By building a Layer 1 blockchain, WOW EARN Chain has enhanced its core infrastructure, offering a more robust and scalable foundation for blockchain applications. This shift signifies a commitment to providing a high-performance platform capable of supporting the growing demands of the blockchain community. Low Transaction Fees with WOW coin: Emphasizing economic accessibility, the WOW EARN Chain features extremely low transaction fees, with transactions being processed for as little as 100 WOW. This approach makes blockchain participation more affordable, encouraging a wider adoption among users and developers. Global Node Deployment for Enhanced Connectivity: Recognizing the importance of a global presence, WOW EARN Chain has strategically deployed official nodes across key regions, including Asia-Pacific, Australia, Europe, and the Americas. 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Ethereum Virtual Machine (EVM) Compatibility for Seamless Integration: Continuing its alignment with Ethereum, WOW EARN Chain supports EVM compatibility, enabling developers to create and deploy decentralized applications (dApps) with ease. This compatibility facilitates seamless integration with the broader Ethereum ecosystem, enhancing the chain's utility and appeal. Cross-Chain Functionality for Expanded Reach: The WOW EARN Chain is not limited to its native capabilities; it extends its reach through integration with These integrations are carefully chosen to enhance various aspects of the chain, from liquidity and security to scalability and transaction efficiency. 10 diverse blockchain chains, such as Base, OkEX, Velas, and ZkSync. Empowering Developers with Resources and Support: Understanding the critical role of developers in the blockchain ecosystem, WOW EARN Chain is committed to providing extensive support and resources. This includes special funds for high-potential projects, hosting developer-centric activities, and fostering a collaborative environment for innovation and growth. Advancing the Blockchain Industry With WOW EARN Chain “The WOW EARN Chain is not merely a technological leap; it's a comprehensive blockchain solution designed to empower developers, streamline transactions, and expand the global reach of blockchain technology,” says Yara, VP of Marketing at WOW EARN. “Our transition to Layer 1, coupled with our commitment to providing a high-speed, economically accessible, and developer-friendly platform, marks a new chapter in blockchain evolution.” The opportunity to become a validator is open to any participant in the network. Should an individual's stake rank within the Top 21, they ascend to the role of an active validator for the forthcoming period. The operational dynamics of active validators are governed by a set of pre-established rules, under which they sequentially partake in the block packaging process. When a validator does not fulfill their block packaging duty within their designated time slot, other validators who have been less active in the recent cycle (specifically those not participating in the last half of the blocks) are randomly selected to execute this task. It is imperative that a minimum of half the number of validators, plus one, are functioning to ensure the smooth and uninterrupted operation of the blockchain. About WOW EARN As a leading innovator in the blockchain space, WOW EARN is dedicated to connecting users with decentralized opportunities in mining, earning, and trading. Following its strategic move to Layer 1 and a successful $30 million Series A funding round, WOW EARN is well-positioned to drive significant advancements in the DeFi ecosystem. For further information, visit WOW EARN's: | | | | Official Website Twitter Telegram Discord Medium Contact Yara G WOW EARN yara@wowearn.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program . here

WOW EARN Redefines Efficiency and Accessibility with the Introduction of Layer 1 Blockchain

In an age where attention spans are fleeting and choices abundant, the success of any online platform hinges on its ability to provide seamless, swift, and engaging interactions. In fact, will leave a website if it takes longer than three seconds to load. 40% of visitors With just a one-second delay potentially causing a significant drop in user engagement, conversion rates, and overall satisfaction, it’s imperative that web developers prioritize immediacy. This rings especially true for applications, the backbone of many dynamic websites and web services. Ruby on Rails At JetRocket we care about our applications’ performance a lot. Performance in my opinion is not only a server response time. Of course, responses should always be fast, but deployments, tests, and application front-end should also run at maximum speed. Spanning almost 15 years of our history, we collected a quite vast collection of tools and techniques that help us to provide the best performance to our clients’ projects. Database Problems & Tools # 1 Bullet https://github.com/flyerhzm/bullet The first that comes to mind when you hear about database performance issues in Rails would probably be an N+1 problem. The N+1 problem occurs when an application makes N+1 database queries to retrieve related data. In the context of Rails, this often happens when you have a parent model and associated child models, and you retrieve a list of parent records along with their associated child records. Each parent record is retrieved with an additional query to fetch its associated child records. This can lead to a significant increase in the number of database queries and negatively impact the application's performance. The Bullet Gem is designed to enhance your application's performance by minimizing the frequency of queries it executes. During your application development, it actively monitors your queries and provides alerts when you should consider implementing eager loading (to avoid N+1 query issues), when unnecessary eager loading is detected, or when you should make use of counter cache. Bullet alerts can be sent via browser JavaScript-based popups, log files, with different monitoring systems, or even with Slack. # 2 N+1 Control https://github.com/palkan/n_plus_one_control While Bullet is designed to detect any N+1 queries in development, N + 1 Control is designed to be used in tests. It evaluates the code under consideration several times with different scale factors to make sure that the number of DB queries behaves as expected. #3 NewRelic, AppSignal, and other APM systems These tools offer various features and integrations that can assist you in monitoring and diagnosing N+1 query problems and other performance issues in your Ruby on Rails applications. Above is the screenshot from AppSignal indicating a request with an N+1 problem. #4 PgHero https://github.com/ankane/pghero PgHero is a powerful database optimization web dashboard explicitly designed for . Founded by Andrew Kane, PgHero offers comprehensive features and insights to help users identify and resolve performance bottlenecks, ensuring their applications run efficiently and smoothly. PostgreSQL One of PgHero's standout features is its real-time dashboard, which gives users a holistic view of their database's performance metrics. This includes information on query execution times, slow queries, database locks, and more. With this dashboard, users can quickly pinpoint areas that require attention and take proactive measures to optimize their database queries and configurations. Additionally, PgHero offers historical query analysis, allowing users to track query performance over time and identify trends or anomalies. PgHero is distributed as a Rails Engine or Docker image, which seems a better option for me and can be easily added to your Rails application deployed with Kamal as an accessory. #5 Rails PG Extras https://github.com/pawurb/rails-pg-extras Of course, many of you know that Postgres stores a lot of its internal metrics and params and they are available through different views. Likewise, if you need to get information about used and not used indexes you will probably query view (You can read more about this here ). pg_stat_user_indexes https://www.postgresql.org/docs/current/monitoring-stats.html The goal of Rails PG Extras is to offer robust insights from your PostgreSQL databases. It encompasses both rake tasks and the Ruby method designed to retrieve data regarding a Postgres instance. It encompasses details such as locks, index utilization, buffer cache hit ratios, and vacuum statistics. Through the Ruby API, developers can seamlessly incorporate this tool into tasks like automated monitoring. #6 Strong Migrations https://github.com/ankane/strong_migrations Strong Migrations catches unsafe migrations in development, and while having potentially dangerous operations in migrations does not affect your application performance directly, adding index non-concurrently or adding a foreign key can slow down your application while you deploy a new release. Anyway, keeping your migrations well organized is just another way to improve your application's overall quality and improve team knowledge, this is why we have strong migrations gems in all our projects. #7 Database Validations https://github.com/toptal/database_validations Another gem that makes your codebase not only faster, but better in general is database validations. It implements two new methods for ActiveRecord: and . As you can guess they work similarly to existing active record methods, but work on a database level. Based on benchmarks included in the gem it is 2.5x times faster than active record methods. Besides it ensures real uniqueness of values and has built its Rubocop rules to force your team to use it. db_belongs_to validates_db_uniqueness_of #8 Database Consistency https://github.com/djezzzl/database_consistency Database consistency gem created by Evgeniy Demin, author of database_validations. The main goal of the project is to help you avoid various issues due to inconsistencies and inefficiencies between a database schema and application models. Lintering & Audit You probably already have Rubocop configured in your project to provide a unified code style and keep the code base in good shape. #9 RuboCop Performance https://docs.rubocop.org/rubocop-performance/cops_performance.html https://github.com/rubocop/rubocop-performance RuboCop rules can improve not only your code style but also the performance of your code. This is where rubocop-performance gem comes in place. Look at a couple of examples below for nonobvious performance improvements. Case-insensitive string comparison is faster with compared to plus . String#casecmp String#downcase == # Performance/Casecmp

# bad
str.downcase == 'abc'
str.upcase.eql? 'ABC'
'abc' == str.downcase
'ABC'.eql? str.upcase
str.downcase == str.downcase

# good
str.casecmp('ABC').zero?
'abc'.casecmp(str).zero? When working with arrays you can modify existing Array instead of creating a new intermediate array for each iteration. # Performance/ChainArrayAllocation

# bad
array = ["a", "b", "c"]
array.compact.flatten.map { |x| x.downcase }

# good
array = ["a", "b", "c"]
array.compact!
array.flatten!
array.map! { |x| x.downcase }
array #10 Fasterer https://github.com/DamirSvrtan/fasterer Another tool that can be used for automated code performance improvements is Fasterer. Fasterer is based on FastRuby idioms and can be configured to run in your https://github.com/fastruby/fast-ruby CI/CD pipeline. #11 bundler-leak https://github.com/rubymem/bundler-leak Another tool from fast-ruby that may help you is bundler-leak. It analyzes your Gemfile over the database and provides you with information on what parts of your bundle may have memory leaks. I usually have bundler-leak as a part of my CI/CD pipeline. RubyMem Data Serialization Speed in data serialization is crucial because it directly impacts the efficiency and performance of your applications. As a Ruby programmer, you understand the importance of optimizing code for better execution. When data serialization to JSON is fast, it reduces the overhead of converting data into a human-readable format, allowing your applications to transmit and receive data swiftly. As far as I know, there are two serializers that can be declared as fastest in Ruby's world. #12 Panko https://github.com/yosiat/panko_serializer Panko is inspired by ActiveModelSerializers (which is currently not in active development ), but works much faster . https://github.com/rails-api/active_model_serializers#status-of-ams https://panko.dev/docs/performance.html The performance result is achieved by four approaches: Using the C extension of OJ library Incremental serialization of Ruby arrays Type casting that does not rely on ActiveRecord Figuring out the metadata, ahead of time Of course like in any other library, there are some cons: Panko can serialize only ActiveRecord objects. #13 Alba & OJ https://github.com/okuramasafumi/alba Compared to Panko, Alba can serialize any Ruby object and do it fast by using OJ library as the backend (Alba allows you to configure different backends). #14 GraphQL Performance Tools When dealing with APIs, which I usually use when building mobile applications, you cannot preemptively optimize your queries, like you do in . There is no silver bullet that will make everything work faster, however, there is a batch of tools that may help you. GraphQL REST GraphQL Batch https://github.com/Shopify/graphql-batch ArLazyPreload https://github.com/DmitryTsepelev/ar_lazy_preload GraphQL::PersistedQueries https://github.com/DmitryTsepelev/graphql-ruby-persisted_queries GraphQL::FragmentCache https://github.com/DmitryTsepelev/graphql-ruby-fragment_cache Profiling Profiling allows you to identify bottlenecks and areas of improvement in your applications. #15 Rack Mini Profiler, Stackprof & MemoryProfiler https://github.com/MiniProfiler/rack-mini-profiler https://github.com/tmm1/stackprof https://github.com/SamSaffron/memory_profiler When I hear about profiling in Rails, I always think about Rack Mini Profiler. This Rack middleware for Ruby web applications enables real-time profiling and performance monitoring. With it can also provide flamegraphs. I especially love that it is designed to work both in production and development. stackprof By adding gem to your application bundle, you can also do memory profiling for each request directly in your browser, which is really helpful. memory_profiler Dockerfile optimization Dockerfile optimization is crucial in enhancing the overall performance and efficiency of your Ruby on Rails application. Here are some key reasons why Dockerfile optimization impacts your Rails application: : The size of your Docker container directly affects deployment times, resource consumption, and scalability. Container Size and Efficiency : Docker containers share resources with the host system. An inefficient Dockerfile can lead to excessive resource consumption, causing performance bottlenecks and potential service interruptions. Resource Utilization : Docker allows you to package your Rails application and its dependencies together. An optimized Dockerfile defines dependencies explicitly and installs only what's necessary. Dependency Management : Dockerfiles are used to create reproducible environments. An optimized Dockerfile guarantees consistency across development, staging, and production environments. Reproducibility : When your application needs to scale to handle increased traffic, the efficiency of your Docker containers becomes critical. Scalability : An optimized Dockerfile speeds up your continuous integration and continuous deployment (CI/CD) pipeline. CI/CD Pipeline Efficiency : Running containers in the cloud often incurs costs based on resource usage. By optimizing your Docker containers, you can reduce resource utilization, leading to cost savings in terms of infrastructure and cloud services. Cost Savings For me, Dockerfile optimization is not just a technical concern but a strategic one. It impacts your Ruby on Rails application's performance, scalability, security, and cost-effectiveness. The biggest question is how to measure everything stated above. There are a lot of articles dedicated to Dockerfile optimization and I will not cover everything in this article, however, I want to share one tool that I always use. #16 Dive https://github.com/wagoodman/dive Dive is a powerful console utility explicitly designed for Docker and OCI image exploration. It empowers developers and system administrators to delve deep into the intricacies of these container images. With Dive, you can examine the image layers and uncover valuable insights on optimizing and reducing the overall size of your Docker or OCI image. Furthermore, Dive can be used with your CI/CD pipelines to make sure that changes made to your Dockerfile do not affect its performance and efficiency. Caching Caching can bring a significant performance boost to your applications as well as bring a lot of pain to your life. I don’t know a better manual about caching in Rails than Rails guides: https://guides.rubyonrails.org/caching_with_rails.html #17 Dalli https://github.com/petergoldstein/dalli If you decided to use caching in Rails then probably you will end with Memcached as a cache store. In this case, don’t forget to switch to dalli memcached driver. Originally created by Mike Perham (author of Sidekiq) more than 10 years ago, it is still the best way to use Memcached from Ruby: it is fast, secure, and support complex Memcached configurations. Tests Performance Last but not the least. Your application tests (specs in my case) should be as fast as possible, long-running tests will reduce the time that you can afford on everything described above. #18 Test Prof https://github.com/test-prof/test-prof Test Prof is a collection of profilers, recipes and RuboCop rules to make your test suite run fast. Of course, this is not a silver bullet, and it requires a lot of manual work, but it gives you instruments to do this work. As for me, I use , , and in every project, even in a new one, even if the test suite is relatively fast. let_it_be before_all factory_default Conclusions It is vital to understand the significance of optimizing Rails applications for better performance. Spending time and resources on this area can lead to significant enhancements. User experience is crucial in today's competitive digital world. Optimizing Rails applications means more than just improving speed; it also means delivering a more seamless, responsive, and satisfying user experience. I have provided a thorough overview of different tools and techniques that you can utilize. Moreover, it is essential to note that Ruby and Rails are not dead or slow. Like any other technology, it is important to be diligent with your Ruby code and understand how to enhance it. Also published here.

Enhancing Rails Application Performance: 18 Essential Tools and Techniques

Github Motion to dismiss Court Filing, retrieved on January 26, 2023 is part of . You can jump to any part in this filing . This part is 24 of 26. HackerNoon’s Legal PDF Series here ARGUMENT VI. PLAINTIFFS’ PRIVACY CLAIMS AGAINST GITHUB FAIL. Plaintiffs attempt to claim that GitHub invaded their privacy (Counts VIII, IX, and X) at the same time that the overall thrust of the Complaint is a failure to publicly attribute their identity to code. The Complaint does not identify any specific privacy-related provision of any alleged contract that was violated or how; does not allege a data breach that could yield liability under the California Consumer Privacy Act (“CCPA”); and does not identify any personal data that was negligently handled nor how that occurred. As noted in Part I.B, supra, no facts in the Complaint explain how Plaintiffs were harmed by any privacy-based conduct by GitHub. Whatever privacy-based claim Plaintiffs purport to advance, at a minimum they must provide a description of the PII at issue and a plausible allegation of some conduct in connection with that PII. Plaintiffs fail to provide those basics. See Compl. ¶¶ 215-39. The Complaint uses the conclusory terms “personal data,” “personal information,” and “PII” in describing Plaintiffs’ claims, e.g., Compl. ¶¶ 220, 228-29, but never defines those terms or specifies the actual data types discussed. Similarly, the Complaint insinuates that GitHub is collecting, distributing, using, or selling such information, but does so without alleging any facts. See Compl. ¶¶ 220, 229-33, 236-37. Plaintiffs never identify which personal information is involved, how it is captured, shared, sold, or otherwise distributed, or how any of this has resulted or is likely to result in concrete injury. Plaintiffs thus fail to provide basic notice of their claims for breach of GitHub’s Privacy Policy, violation of the CCPA, or negligence, necessitating dismissal. The CCPA claim, moreover, faces a particularly demanding standard that Plaintiffs do not even attempt to satisfy. The CCPA provides a limited private right of action. See Cal. Civ. Code § 1798.150. It allows a private claim only if a consumer’s “nonencrypted or nonredacted personal information, as defined in [§ 1798.81.5(d)(1)(A)], is subject to an unauthorized access and exfiltration, theft, or disclosure as a result of the business’s violation of the duty to implement and maintain reasonable security procedures and practices appropriate to the nature of the information to protect the personal information.” It is thus § 1798.81.5(d)(1)(A)—not § 1798.140(o)(1), as Plaintiffs allege, Compl. ¶ 228—that defines personal information for purposes of a CCPA claim. That provision defines such information as last name and first name or first initial, plus one or more of a social security number, driver’s license or similar number, account number or card number with access code or password that would give access to a financial account, medical information, health insurance information, biometric data, or genetic data. See Cal. Civ. Code § 1798.81.5(d). Plaintiffs’ allegations of misuse of unspecified PII are not actionable under § 1798.150, because Plaintiffs fail to plead any facts regarding data security or theft of the specified categories of data that could support a CCPA claim. Simply parroting the language of the statute is not enough to plausibly plead a claim, see Cork v. CC-Palo Alto, Inc., 534 F. Supp. 3d 1156, 1183 (N.D. Cal. 2021), and that is particularly true here where the facts described in the Complaint regarding training a machine learning model on publicly available data appears to be far afield from the ordinary fact patterns in data breach cases. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case 4:22-cv-06823-JST retrieved on September 11, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. documentcloud.org

Privacy Claims Against GitHub Fail

Hey there! I would like to tell you about a framework for building user interfaces on iOS and macOS. It is very convenient to use because it employs a declarative approach to programming. With SwiftUI, you can describe what your interface should do and look like, and the framework will take care of the rest. SwiftUI, One of the key elements of SwiftUI is the use of property wrappers. These are functional elements that allow you to provide additional logic for properties. SwiftUI has five main property wrappers: @State @Binding @ObservedObject @StateObject @EnvironmentObject They will become your best friends in development. @State allows you to create properties that can be changed and, if necessary, update the interface based on these changes. For example, if you want to create a button that changes its color when pressed, you can create a @State variable to store the color and add it to the button: @State struct MyButton: View {
    @State var buttonColor = Color.blue

    var body: some View {
        Button("Press me!") {
            buttonColor = Color.red
        }
        .background(buttonColor)
    }
} @Binding allows you to use a value that It is typically used in SwiftUI to pass a value from one view to another, allowing them to interact with each other. For example, imagine we have two views - one with a text field and the other with a button. We want the text field to update when the user presses the button. To do this, we can use @Binding: @Binding is stored in one part of the code in another part of the code. struct ContentView: View {
    @State private var text = ""

    var body: some View {
        VStack {
            TextField("Enter text", text: $text)
            Button("Update text") {
                text = "New text"
            }
            SecondView(text: $text)
        }
    }
}

struct SecondView: View {
    @Binding var text: String

    var body: some View {
        Text(text)
    }
} In this example, is used to pass the value from (which is in ) to (which is in ), so when the user presses the button, the text field will update and display the new text. @Binding $text ContentView text SecondView @ObservedObject is used to mark properties that are This property wrapper subscribes to changes in the object that conforms to the and automatically updates the relevant parts of the interface if the data has changed. Here's a brief example of using : @ObservedObject observed and can change depending on external data changes. ObservableObject protocol @ObservedObject class UserData: ObservableObject {
    @Published var name = "John"
}

struct ContentView: View {
    @ObservedObject var userData = UserData()

    var body: some View {
        VStack {
            Text("Hello, \(userData.name)!")
            TextField("Enter your name", text: $userData.name)
        }
    }
} In this example, we create a class called UserData, which contains a @Published name. In the ContentView structure, we create a property called userData with the type UserData, We display the value of userData.name in a text field and output it on the screen. using @ObservedObject. When the user changes the value in the SwiftUI automatically updates the corresponding part of the interface, as the property is published and observed using This means we don't need our own code to update the interface, and we allow SwiftUI to do it for us. text field, name @Published. If you don't know, @Published is a property wrapper from the Combine framework that can be added to a class or structure property, which automatically sends notifications of any changes to the value of that property to anyone who has subscribed to it. In other words, it's a helper attribute for properties that can be tracked for changes. Note: @StateObject is a property wrapper used This means that the object is stored as long as the view exists and is destroyed along with it. Typically, using is more practical for class objects that are needed for views, not just For example: @StateObject to initialize a class object and store it in the view state in SwiftUI. @StateObject multiple one. class UserData: ObservableObject {
    @Published var name = "John"
    @Published var age = 30
}

struct ContentView: View {
    @StateObject var userData = UserData()
    
    var body: some View {
        NavigationView {
            VStack {
                Text("Name: \(userData.name)")
                Text("Age: \(userData.age)")
                
                NavigationLink(
                    destination: ProfileView(userData: userData),
                    label: {
                        Text("Edit Profile")
                    })
            }
            .navigationTitle("Home")
        }
    }
}

struct ProfileView: View {
    @ObservedObject var userData: UserData
    
    var body: some View {
        Form {
            TextField("Name", text: $userData.name)
            Stepper("Age: \(userData.age)", value: $userData.age)
        }
        .navigationTitle("Profile")
    }
} In this example, is an object of a class that contains several properties that can be used in multiple views. The class is marked as so it can be used with and . UserData ObservableObject @StateObject @ObservedObject In we create a new object using to save state between transitions between different views. In this case, displays user data, visualizes it, and contains a link to another view that can be used to edit the user data. ContentView, UserData @StateObject ContentView (ProfileView) In , we get access to the same object using to modify user data. When the user changes data, it is automatically updated in because the same object is used. ProfileView UserData @ObservedObject ContentView UserData Use @ObservedObject if you need to observe changes in a class object from one view and @StateObject if you need to save the state of a class object that affects the display of multiple views. Note: If you use @ObservedObject instead of @StateObject for an object needed in multiple views, each view will have its own instance of the object, which can lead to problems with data synchronization between views. Therefore, in this case, it is better to use @StateObject. @EnvironmentObject is a property wrapper for p It allows access to the data object from any view in the SwiftUI hierarchy that belongs to the Environment container (e.g., Scene, View, App, etc.). For example, imagine we have a task list management app. We can have a root that contains a list of tasks and the ability to create new tasks. For this, we create a separate view that displays the list of tasks and a button to add new tasks. After adding a new task, the user should be redirected to the add task screen, so we create a separate view. @EnvironmentObject assing data objects through the SwiftUI view hierarchy. ContentView TaskListView AddTaskView To pass the object to all three views, we can create its instance in , and then pass it as a parameter to both and . However, this can become a problem if we decide to add even more nested views, as we will need to pass through many intermediate views. UserManager ContentView TaskListView AddTaskView UserManager Instead of this, we can use to pass down through the view hierarchy. This way, all views that need access to can simply declare it as an and use it as needed. @EnvironmentObject UserManager UserManager @EnvironmentObject struct TaskManagerApp: App {
    @StateObject var userManager = UserManager()
    
    var body: some Scene {
        WindowGroup {
            ContentView()
                .environmentObject(userManager)
        }
    }
}

struct ContentView: View {
    var body: some View {
        NavigationView {
            TaskListView()
        }
    }
}

struct TaskListView: View {
    @EnvironmentObject var userManager: UserManager
    
    var body: some View {
        List(userManager.tasks) { task in
            TaskRow(task: task)
        }
        .navigationBarTitle("Tasks")
        .navigationBarItems(trailing:
            Button(action: {
                // Navigate to AddTaskView
            }) {
                Image(systemName: "plus")
            }
        )
    }
}

struct AddTaskView: View {
    @EnvironmentObject var userManager: UserManager
    
    var body: some View {
        // Add new task using userManager
    }
} So, now the object will be automatically passed to and via . Note that we can modify the state of in one view, and the changes will automatically be reflected in the other view. UserManager TaskListView AddTaskView @EnvironmentObject UserManager The article covered the basic SwiftUI property wrappers: @State, @Binding, @ObservedObject, @StateObject, @EnvironmentObject. These property wrappers form the foundation of working with app state in SwiftUI. Use this article as a cheat sheet to have the basic property wrappers at your fingertips, necessary for developing apps with SwiftUI. By applying this knowledge, you will be able to build more complex user interfaces with dynamically changing states and integrate data from your models into SwiftUI.

SwiftUI's 5 Main Property Wrappers and How to Use Them Effectively

SwiftUI এর 5 প্রধান সম্পত্তির মোড়ক এবং কীভাবে সেগুলি কার্যকরভাবে ব্যবহার করবেন

Die 5 wichtigsten Property Wrapper von SwiftUI und wie man sie effektiv nutzt

Los 5 contenedores de propiedades principales de SwiftUI y cómo usarlos de manera efectiva

Les 5 principaux wrappers de propriété de SwiftUI et comment les utiliser efficacement

SwiftUI के 5 मुख्य संपत्ति रैपर और उन्हें प्रभावी ढंग से कैसे उपयोग करें

SwiftUI の 5 つの主要なプロパティ ラッパーとそれらを効果的に使用する方法

SwiftUI의 5가지 주요 속성 래퍼와 이를 효과적으로 사용하는 방법

Os 5 principais wrappers de propriedade do SwiftUI e como usá-los efetivamente

SwiftUI'nin 5 Ana Özellik Paketleyicisi ve Bunların Etkili Bir Şekilde Kullanılması

5 Trình bao bọc thuộc tính chính của SwiftUI và cách sử dụng chúng hiệu quả

SwiftUI 的 5 个主要属性包装器以及如何有效地使用它们

The world of cryptocurrency transactions is fraught with uncertainties, and one of the most pressing questions is whether these transactions are truly anonymous. Specifically, is Bitcoin anonymous? Unfortunately, the answer to this question is a resounding no: Bitcoin is not entirely anonymous. But it can surely be more discreet than traditional payment methods, and there are also ways to make your transactions more private — such as using a privacy-focused cryptocurrency like Monero (XMR) or . using NOW Wallet's swap feature Why Anonymous Transactions Are Important Financial freedom is the primary reason created Bitcoin. It was an opportunity for ordinary people to participate in the global financial system on their own terms. And one of these terms is anonymity. While many may think that anonymity is a fraudster’s tool, it is actually important to the average crypto user. Satoshi First, anonymity ensures privacy and security. Anonymous transactions allow crypto users to protect their personal and financial information, thus maintaining their financial privacy. Furthermore, anonymous transactions act as an extra layer of security. It shields users’ personal information and crypto assets from malicious actors. Sometimes, these malicious actors can be governments and (their) financial institutions — and this leads to the next point. Anonymity provides a way to escape censorship. Through anonymous transactions, crypto users can evade the censorship and restrictions imposed by governments and or financial institutions. This is particularly useful for crypto individuals and businesses that operate in jurisdictions where freedom of speech is censored and financial services are limited. Finally, by ensuring user privacy and security and helping users avoid censorship, anonymous transactions increase crypto adoption. More people adopt cryptocurrencies because of their privacy and security, and this promotes financial inclusion and a decentralized financial system. Despite these benefits, no blockchain network provides complete anonymity. Even the Bitcoin network. This means that there is no anonymous . However, there are certain networks that have taken the anonymity and privacy game a notch higher than others. One such network is . Bitcoin wallet Monero Monero and How It Facilitates Anonymous Bitcoin Transactions Launched in 2014, Monero (XMR) prioritizes privacy and anonymity in its transactions. It is a fork of the Bytecoin blockchain and is based on the protocol. Its privacy and anonymity are underpinned by its ring signature technology. The technology mixes a sender’s transaction with others on the blockchain, thus making it difficult to trace the transaction’s origin. This is known as “mixing” or “tumbling.” Also, the ring signature technology allows the user to sign a message alongside other users and makes it difficult to tell who signed the transaction. CryptoNote Another privacy feature of the Monero network is stealth addresses. These are one-time addresses a user can generate for each transaction. So even if someone obtains the recipient’s address, it is impossible to see the value of the cryptocurrency sent to that address. For anonymous bitcoin transactions, the Monero network cannot directly process these transactions as a separate cryptocurrency. So what the user can do is exchange bitcoin for Monero, mix or tumble the transaction, and then exchange it back to bitcoin. An can give users access to these Monero features. Such wallets could be custodial or non-custodial, . NOW Wallet is a non-custodial, hot wallet that can help users facilitate anonymous transactions. XMR wallet hot or cold wallets The NOW Wallet Swap Feature and Anonymous Bitcoin Transactions The NOW Wallet Swap feature provides another option for anonymous transactions. Generally, NOW Wallet Swap is a feature that allows users to quickly and easily exchange their cryptocurrencies within the wallet. As a result, they do not have to go through the hassles of sending coins to an exchange, placing orders, and waiting for the transactions to be confirmed. Also, the feature allows users to send their funds to another service without revealing their cryptocurrency holdings. They can exchange or swap one crypto for another within the NOW Wallet before sending it to another recipient. Using the same cryptocurrency pair for the swap allows users to keep their transactions private. It is important to note that since NOW Wallet is , it has already been primed for privacy, security, and anonymity. No user data is collected on the wallet and funds are stored on the device. non-custodial How to Use NOW Wallet Swap In addition to privacy, NOW Wallet Swap has diverse use cases even for users who hold cryptocurrencies that are not accepted by a service. With NOW Wallet swap, the user can convert their crypto assets to the required cryptocurrency and send them to the service. Furthermore, users can swap cryptocurrencies at a predetermined exchange rate. This is called Fixed Rate Swap. This feature comes in handy when the user is looking to send a specific amount of cryptocurrency or avoid exchange rate fluctuations. to illustrate the two features explained above. Say you have ETH, but you need to send exactly 1 BTC to a network that accepts only BTC. You can convert your ETH to BTC through the NOW Wallet Swap, then use the Fixed Rate swap to send exactly 1 BTC to the network. You would not need to manually calculate the exchange rate or bother if you are actually sending more than or less than the actual value. Here is an example Send Funds to Another Service Using Swaps in NOW Wallet Step 1: Open NOW Wallet and log in to your account. Step 2: Click on the "Exchange" tab located at the bottom of the screen. Step 3: Select "To address" as the exchange type. NOW Wallet supports over 500 assets on 40+ blockchains, including Bitcoin, Ethereum, FLOKI, and SHIB. You can even select a single asset (e.g., BTC to BTC) conversion for private transactions. Step 4: Choose the pair you want to exchange. Double-check the address to ensure you're sending funds to the right recipient. Step 5: Enter the recipient's address. The exchange rate is displayed in real-time, so you'll know the exact amount of cryptocurrency you'll receive. Step 6: Review the exchange rate and confirm the transaction. The time it takes to complete an exchange depends on the amount of cryptocurrency you're exchanging and the current network traffic. Once the exchange is completed, you'll receive a notification. Step 7: Wait for the exchange to be completed. You can check the transaction details in your transaction history. Step 8: Verify that the funds have been sent to the recipient. Sending your funds to another service using swaps in NOW Wallet is straightforward and convenient. You can exchange a wide range of cryptocurrencies and send funds to anyone, anywhere, anytime. Plus, you can enjoy a high level of privacy and security, making NOW Wallet an ideal choice to use as an XMRwallet or for sending funds to another service.

PLUSONE

plusone.co.jp

1-10 employees

Since 1989

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PLUSONE

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PLUSONE

plusone.co.jp

1-10 employees

Since 1989

COMPANY RANKING

PLUSONE

EVERGREEN INDEX #8929

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