Useful is the fastest way for Product Managers to create powerful highlights from customer conversations to share insights and learnings with their teams

Useful

— Discover cool new products producthunt.com — Schedule and automatically repeat your social media posts oneupapp.io — Make simple one-page websites carrd.co — Extract data from PDF to Excel docparser.com — Discover the best times to post to reddit postinspect.com — Free screen & video recording software useloom.com — Scan any highlighted text and leave everything else behind autopick.co — Free referral marketing software growsurf.com — Real time whiteboard for remote collaboration witeboard.com — Editorial-style Mailchimp alternative getrevue.co — Free tools & resources for non-technical makers nocode.tech — Community of entrepreneurs helping eachother indiehackers.com — Free stock photo site pexels.com — Free stock photo site (2) unsplash.com — Capture screenshots of web pages screenshot.guru — Free icons & illustrations lukaszadam.com/illustrations — Find the original url behind a short URL unfurlr.com — Place to search for icons (free and paid) iconfinder.com — If a site is down, access it trough coralcdn coralcdn.org — Find first tweet ever ctrlq.org/first — A simple online timer for your daily needs e.ggtimer.com — Tranfer big files for free wetransfer.com g — Scan any suspicious file virusscan.jotti.or — Protect your e-mail against spam scr.im — Download free fonts fonts.google.com — Share your screen with anyone join.me — Check your website for speed issues gtmetrix.com — Create self-destructing text nodes privnote.com — Guides to fix almost anything ifixit.com — Create a 10 minute e-mail 10minutemail.com — Find free software recommendation alternativeto.net — Create amazing designs for free canva.com — Check most shared content buzzsumo.com — Free flat illustration undraw.co — Organize your projects for free trello.com — Free Software to Collect Emails and boost Conversions notifia.io — See videos of how visitors use your site hotjar.com — Track website backlinks ahrefs.com — FB Messenger Tools/Bots manychat.com — Find out what Websites are built with builtwith.com — Watch Competitor Ads adbeat.com — Pitch/find Journalists & Bloggers justreachout.io — Find popular questions in your niche answerthepublic.com — Amazon Research Platform junglescout.com — Review Friendly People snagshout.com — Save articles you want to read and have them emailed to you mailist.app — Build a web app with no code bubble.is Want an easy way to earn free Bitcoin? is a Bitcoin faucet that lets you “roll” a virtual number once every 60 minutes. FreeBitco.in You always win some Bitcoin every time, but if you hit certain ranges of numbers, you win big: In a short period of time, I have won over 0.03 BTC. That is equal to over $236 USD. Not bad for doing nothing. And yes, they actually pay out. I have cashed out before and it was a quick and painless process. I was kind of hesitant at first, but is one of the few legitimate sites where you can earn Bitcoin for free. FreeBitco.in Give it a shot at FreeBitco.in

47 Useful Websites for Makers

How Useful are Computational Models to Traders in Their Decision Making?

As we bid farewell to the older syntax, let’s embrace the newer, more expressive way of creating objects. Introduction In C# 12, primary constructors play a crucial role in defining the behavior of classes and structs. By adding parameters to a struct or class declaration, you can create a primary constructor. Use Cases Pass primary constructor parameters as arguments to a base constructor invocation. This allows for seamless initialization of base class properties. Base Constructor Invocation: Primary constructor parameters are often used to initialize member fields or properties. By directly assigning values during construction. Member Field Initialization: Getting Started The struct & constructor declaration before C# 12. Please find below the example of the older syntax. public readonly struct Distance
{
    public readonly double Magnitude { get; }

    public readonly double Direction { get; }

    public Distance(double dx, double dy)
    {
        Magnitude = Math.Sqrt(dx * dx + dy * dy);
        Direction = Math.Atan2(dy, dx);
    }
} Newer Syntax Consider the following example, let's create a struct namedDistance with two primary constructor parameters: dx and dy. Later, we can compute two read-only properties—Magnitude and Direction—based on these parameters: public readonly struct Distance(double dx, double dy)
{
    public readonly double Magnitude { get; } = Math.Sqrt(dx * dx + dy * dy);
    public readonly double Direction { get; } = Math.Atan2(dy, dx);
} Invoking Base Class Primary Constructors Primary constructors can be leveraged in inheritance hierarchies. When a derived class has its primary constructor, it can invoke the base class’s primary constructor using the base keyword. Example: Bank Account Hierarchy Consider a base class BankAccount with a primary constructor for account number and initial balance: public class BankAccount(int accountNumber, decimal initialBalance)
{
      // Additional initialization specific to SavingsAccount
      // ...

} Now, a derived class SavingsAccount can inherit from BankAccount and invoke its primary constructor as shown below public class SavingsAccount(int accountNumber, decimal initialBalance) : BankAccount (accountNumber, initialBalance)
{
      // Additional initialization specific to SavingsAccount
      // ...
} Custom Behavior in Derived Classes Derived classes can further customize their behavior within the constructors. For instance, a CheckingAccount class might inherit from BankAccount but invoke the base constructor using the base keyword public class CheckingAccount : BankAccount
    {
        public CheckingAccount(int accountNumber, decimal initialBalance)
            : base(accountNumber, initialBalance)
        {
            // Additional initialization specific to CheckingAccount
            // ...
        }
    } Conclusion In the ever-evolving landscape of programming languages, C# 12 introduces a powerful feature: primary constructors. These concise and elegant constructs allow us to define the behavior of classes and structures with utmost clarity. As we bid farewell to the older syntax, let’s embrace the newer, more expressive way of creating objects. C# Programming🚀 Thank you for being a part of the C# community! Before you leave: If you’ve made it this far, please show your appreciation with a clap and follow the author! 👏️️ Follow us: | | | | | X LinkedIn Dev.to Hashnode Newsletter Tumblr Visit our other platforms: | | | | GitHub Instagram Tiktok Quora Daily.dev Also published here

Primary Constructors in C# 12: What They Are and Why They Are Useful

Managed detection and response (MDR) solutions are useful tools for organizations that cannot or don’t want to keep an extensive in-house team staffed. Whether they lack the expertise and other resources or simply prefer the experience of the as-a-service model, many organizations can benefit from an MDR solution if it is the right one. In order to implement MDR smoothly and ensure its efficacy, it is important to assess and research before investing in any solutions. The following steps will walk you through the key considerations and practices when searching for the right MDR solution provider for your organization. Determining if MDR Is Right for You Before considering what kind of MDR solution and which provider to choose, you must determine for your organization. There are many valid use cases for
MDR solutions, making for a broad appeal to many organizations with different
needs. whether MDR is a good fit Some organizations are smaller or otherwise restricted in their ability to build a security team. Companies with small or nonexistent security and IT teams can take advantage of MDR to fill in the gaps without the need to attract and onboard many skilled employees. MDR can also help organizations struggling with digital transformation processes and challenges. Moving storage and operations to the cloud can interfere with endpoint visibility, and MDR can help organizations restore that visibility. Companies whose cybersecurity posture is currently less than ideal can also benefit from the security expertise MDR provides. With help from experts, they can build a security strategy that is proactive and robust. However, if you have a mature cybersecurity program in place already or if your security environment is growing in complexity, you may need a more sophisticated solution than an MDR can provide. Familiarizing Yourself With the Differences in MDR Types If you have decided that MDR is the right move for your organization, the next step is to learn about the different forms that MDR can take. Providers are diverse in their approaches to MDR, and some may be a better fit than others for certain companies. Some of the are: common variables in MDR approaches · : Some MDR providers are focused primarily on detecting potential security incidents, while others will include additional steps in the security process, such as incident response, threat hunting, and remediation assistance. Detection Focus vs. Full Detection, Investigation, and Response Support · : Different providers will have different abilities regarding their services to meet each customer’s particular needs, making for a more or less fine-tuned security strategy. Level of Configuration : The reporting and analytics provided to customers might be more or less detailed, depending on the provider. “Basic metrics” will cover resolved incidents, but more detailed reporting might include things like detection coverage and average resolution times, enabling customers to gain visibility into their security posture. · Reporting and Analytics : Some solutions will employ more proactive threat detection and incident response methods than others. All MDR solutions offer threat detection and incident response but differ in how they approach threats and threat hunting. · Proactive Threat Hunting There are a number of different technologies and tools that MDR can employ, and providers will vary in how they operate and integrate those tools. Some are with products already in use, while others work independently. · Bring-Your-Own (Hybrid) vs. Fully Vendor-Supplied Stacks: solutions that integrate : Some MDR services are delivered through a cloud platform that can provide central management of the features, including log management and orchestration. · Cloud Solutions These are solutions that go beyond endpoint detection and response and cover other areas such as email, cloud services, and industrial control systems. · Managed XDR: Providers may differ in their service level agreements (SLAs), offering different levels and kinds of support. An SLA should stipulate things like . · Service Level Agreements: response times and the vendor’s commitment to customer support Vetting Providers Choosing the right MDR provider requires looking into potential vendors beyond just the services they offer. It is also important to ensure that the vendor you choose is esteemed in the industry and well-reviewed by its current customers. This will give you realistic insight into the kind of service you can expect, which affects your ability to build a lasting relationship with the vendor. In order to obtain visibility into the performance of the solutions you are considering, some independent research institutions like put together reports and resources on the state of the industry, the efficacy of different tools, and the dependability of the solutions. Gartner Selecting the right provider for your organization and its needs doesn’t need to be a daunting task, but it is an important process that requires care and attention. It is vital to find a vendor that meets the particular needs of your organization regarding tools offered, services provided, configurability, and other variables. Conclusion With any security solution, it is essential to understand your needs and research tools and vendors before investing in implementation. This is especially true of MDR solutions, which have many variables and can differ significantly from vendor to vendor. The nature of MDR necessitates an in-depth examination of your organization’s needs and wants in a solution, the industry standards to expect, and the nuances of what each vendor has to offer.

MDR Provider Checklist: A Useful Guide

Pydantic is a popular open-source Python library for data validation and modeling. It offers tools to define the structure and rules of your data, ensuring its consistency and reliability. Pydantic is looking to have a lot of potential in AI, in regards to data preprocessing and cleaning. Its ability to validate and serialize data makes it an ideal choice for handling the large and complex datasets often used in AI applications. Additionally, Pydantic’s support for type annotations and type checking can help catch errors early in the development process, making it easier to build and maintain reliable AI systems. Not just that but Pydantic’s integration with popular AI libraries such as TensorFlow and PyTorch, allows for seamless data manipulation and model training. Why Use Pydantic Data Validation Pydantic enforces data types and constraints you define, catching invalid entries before they cause issues. This is crucial in AI, where incorrect data can lead to biased or inaccurate models. Data validation is a process that ensures the data entered into a system is correct and useful. It checks the accuracy and quality of data before it’s processed. Here are a few examples of data validation using the Pydantic library in Python: : Pydantic uses Python-type hints to validate data. For instance, in the following code, the class has attributes , , , and with specific type hints. Pydantic validates the data against these type hints. Type Hints Validation Fruit name color weight bazam If the data doesn’t match the type hints, a validation error is raised. from typing import Annotated, Dict, List, Literal, Tuple
from pydantic import BaseModel

class Fruit(BaseModel):
    name: str
    color: Literal['red', 'green']
    weight: Annotated[float, Gt(0)]
    bazam: Dict[str, List[Tuple[int, bool, float]]]

print( 
    Fruit(
        name='Apple', 
        color='red', 
        weight=4.2, 
        bazam={'foobar': [(1, True, 0.1)]}
    )
) : Pydantic also has a strict mode where types are not coerced, and a validation error is raised unless the input data exactly matches the schema or type hint. Here’s an example: Strict Mode Validation from datetime import datetime
from pydantic import BaseModel, ValidationError

class Meeting(BaseModel):
    when: datetime
    where: bytes

try:
    m = Meeting.model_validate(
        {'when': '2020-01-01T12:00', 'where': 'home'}, 
        strict=True
    )
except ValidationError as e:
    print(e) : Pydantic allows for customizing validation via functional validators. For instance, in the following code, a custom validator is used to check if the attribute is ‘now’ and if so, it returns the current datetime. Custom Validators when from datetime import datetime, timezone
from pydantic import BaseModel, field_validator

class Meeting(BaseModel):
    when: datetime

    @field_validator('when', mode='wrap')
    def when_now(cls, input_value, handler):
        if input_value == 'now':
            return datetime.now()
        when = handler(input_value)
        if when.tzinfo is None:
            when = when.replace(tzinfo=timezone.utc)
        return when These examples demonstrate how Pydantic can be used for data validation in Python, ensuring that the data being processed matches the expected types and constraints Data Modeling Define the structure of your data, including nested objects and relationships. This makes it easier to work with complex data sets and helps keep your code organized. Serialization/Deserialization Convert data between different formats like JSON, Python dictionaries, and others. This allows seamless integration with external APIs and data sources. How Is Pydantic Useful in AI? One of the burgeoning challenges in the realm of artificial intelligence (AI), particularly when working with Large Language Models (LLMs), is structuring responses. These sophisticated models can generate vast quantities of unstructured data, which then necessitates meticulous organization. This is where Pydantic, a data validation and settings management library in Python, steps in with an elegant solution. It simplifies the formidable task by enabling developers to define a clear model for their data, ensuring that the responses from LLMs are well-structured and conform to expected formats. Guaranteed structure output with Ollama and Pydantic. pic.twitter.com/YF8cFAsaap — jason (@jxnlco) February 8, 2024 Leveraging Models to Structure Large Language Model Responses When interfacing with LLMs, it’s crucial to not just receive data but to parse and utilize it effectively. Pydantic facilitates this by allowing the creation of models that serve as blueprints for the expected data. This means that developers can predefine the structure, types, and requirements of the data they are to handle, making it easier to manage and ensuring that the information is in the correct form for further processing or analysis. Pydantic 2.7: Optional Support for Incomplete JSON Parsing The upcoming Pydantic version 2.7 introduces optional support for parsing and validating incomplete JSON, which is particularly beneficial for AI applications. This feature aligns perfectly with the needs of developers processing streamed responses from an LLM. Instead of waiting for the entire payload, developers can start processing the data as it arrives, enabling real-time data handling and reducing latency in the AI system’s response. Integration With DSPy and JSON Schemas Furthermore, there is ongoing experimentation with combining , Pydantic types, and JSON Schemas to further enhance data validation and transformation capabilities. Such integrations broaden the potential applications of Pydantic in the AI space by leveraging the advantages of each tool, leading to more robust and versatile data-handling solutions. DSPy OpenAI Function Calls and Query Plans An often-underappreciated aspect of OpenAI’s capabilities is its function-calling feature that permits the generation of entire query plans. These plans can be represented by nested Pydantic objects, adding a structured and executable layer over retrieval and Reading Comprehension Answer Generator (RAG) pipelines. By adopting this method, developers can obtain plan-and-execute capabilities that allow for handling intricate queries over assorted data sources. An example of this in practice is , which capitalizes on such a layered approach to accessing and for generating structured data. LlamaIndex Also published here

Pydantic: What It Is and Why It's Useful

In the ever-evolving landscape of software development, finding the right resources can be a daunting and time-consuming task. I've decided to help by curating a compilation of some of my favorite GitHub repositories, that will help you to improve your workflow and skills. This list includes valuable GitHub repositories for topics like learning, project ideas, career opportunities, data collections, database tools, and security. I've included direct links, descriptions, and visuals so that you can get an initial impression of each extension right away. 1. (Sponsored) esProc SPL ⭐ GitHub stars: 4K+ esProc SPL is a next-generation data processing language, that integrates with SQL databases and supports advanced analytics, and parallel processing. With esProc SPL, you can effortlessly transform and analyze massive datasets, uncover hidden patterns and trends, and derive actionable insights from your data. Some of the top features include: Experience fast processing speeds with esProc SPL's optimized algorithms and efficient memory management. ⚡ Top Performance: Access a comprehensive collection of pre-built functions, catering to a wide range of data manipulation tasks. 🚀 Rich Function Library: Enjoy a clear and concise syntax that fosters code readability and maintainability. ✨ Intuitive Syntax: Seamlessly integrate esProc SPL scripts into Java programs via JDBC, bridging the gap between data analysis and application development. 👨‍💻 Java Integration: Execute esProc SPL scripts independently, expanding your data processing capabilities beyond traditional limitations. 🧙‍♀️ Independent Execution: ⭐ Support their GitHub repo: https://github.com/SPLWare/esProc 🌱 Learning 2. A-to-Z Resources for Students ⭐ GitHub stars: 16K+ This repository is a comprehensive collection of resources beneficial for students, covering a wide range of topics. It includes study materials, programming resources, and tools that can aid in academic and personal development. 3. Learning Resources for Developers ⭐ GitHub stars: 5K+ This repository gathers an extensive list of learning resources for developers. From tutorials and courses to resources and tools, it serves as a valuable one-stop-shop for enhancing programming skills. 4. Every Programmer Should Know ⭐ GitHub stars: 75K+ A compilation of essential knowledge that every programmer should be aware of. Covering a variety of topics, it provides insights into algorithms, data structures, system design, and other fundamental concepts. 📀 Data 5. Public Datasets Collection ⭐ GitHub stars: 57K+ This repository curates a vast collection of public datasets from various domains. It's a valuable resource for data scientists and developers looking for high-quality datasets to analyze and derive insights from. 6. JSON Datasets Collection ⭐ GitHub stars: 3K+ This repository provides a curated list of datasets in JSON. It's a handy reference for developers working with JSON data in their projects. 7. Useful Database Tools ⭐ GitHub stars: 3K+ This repository compiles a list of tools and utilities for working with databases. From database design to management and optimization tools, it's a go-to resource for developers dealing with database-related tasks. 💡 Ideas 8. Everything for Indie Hackers ⭐ GitHub stars: 8K+ Focused on independent developers and creators, this repository gathers resources, tools, and advice for individuals pursuing indie projects. It's a supportive community-driven collection for those looking to thrive independently. 9. Machine Learning Project Ideas ⭐ GitHub stars: 7K+ A repository filled with project ideas for Machine Learning developers. It's a great source of inspiration for developers seeking new and interesting projects to work on. 10. Awesome Stacks for Apps ⭐ GitHub stars: 3K+ This repository showcases various technology stacks you can use. It's a valuable resource for developers exploring different tech stacks and architectures for their projects. 11. Frontend Dev Bookmarks ⭐ GitHub stars: 40K+ A curated collection of bookmarks for frontend developers, covering a wide range of topics from appearance and UI to compatibility and design workflow. It's a handy reference for staying updated on best practices and tools in the front-end development landscape. 💼 Career 12. CV Templates ⭐ GitHub stars: 21K+ Some useful templates for creating impressive curriculum vitae (CVs). It's a valuable tool for job seekers, helping them craft visually appealing resumes. 13. Resume Best Practices ⭐ GitHub stars: 6K+ This repository compiles various practical examples to use in resumes. It serves as a comprehensive guide for individuals aiming to enhance their resume presentation, improving their chances of getting a job. 14. Remote Work Resources ⭐ GitHub stars: 27K+ Focused on remote job opportunities, this repository provides a curated list of companies and job boards offering remote work. It's a go-to resource for those seeking remote employment options. 🔐 Security 15. Everything Security ⭐ GitHub stars: 11K+ A collection of awesome software, libraries, documents, books, resources, and cool stuff about security. 16. Web Security Practices ⭐ GitHub stars: 10K+ Focused specifically on web security, this repository gathers resources and tools to help developers secure their web applications. It covers best practices, tools, and frameworks for web security. 17. Privacy Focused Services ⭐ GitHub stars: 11K+ A curated list of resources and tools to enhance online privacy. It covers topics such as privacy-focused software, encryption tools, and practices to protect personal information online. 18. Privacy Tools Collection ⭐ GitHub stars: 5K+ A repository that curates privacy-related software and services. This collection includes tools, guides, and best practices to maintain digital privacy in various online activities. 19. Personal Security Checklist ⭐ GitHub stars: 13K+ A valuable checklist and resources to improve personal online security. It's a practical guide for individuals looking to protect their digital privacy. Writing has always been my passion and it gives me pleasure to help and inspire people. If you have any questions, feel free to reach out! Make sure to receive the best resources, tools, productivity tips, and career growth tips I discover by subscribing to ! my newsletter Also, connect with me on , , and ! Twitter LinkedIn GitHub Also published . here

The 19 Useful GitHub Repositories You Need to Become a Better Developer 🔥🚀

19 টি দরকারী GitHub সংগ্রহস্থল যা আপনাকে আরও ভাল বিকাশকারী হতে হবে 🔥🚀

Die 19 nützlichen GitHub-Repositories, die Sie benötigen, um ein besserer Entwickler zu werden 🔥🚀

Los 19 repositorios de GitHub útiles que necesitas para convertirte en un mejor desarrollador 🔥🚀

Les 19 référentiels GitHub utiles dont vous avez besoin pour devenir un meilleur développeur 🔥🚀

एक बेहतर डेवलपर बनने के लिए आपको 19 उपयोगी GitHub रिपॉजिटरी की आवश्यकता है 🔥🚀

より良い開発者になるために必要な 19 の便利な GitHub リポジトリ 🔥🚀

더 나은 개발자가 되기 위해 필요한 19가지 유용한 GitHub 리포지토리 🔥🚀

Os 19 repositórios GitHub úteis que você precisa para se tornar um desenvolvedor melhor 🔥🚀

19 полезных репозиториев GitHub, которые вам нужны, чтобы стать лучшим разработчиком 🔥🚀

Daha İyi Bir Geliştirici Olmak İçin İhtiyacınız Olan 19 Faydalı GitHub Deposu 🔥🚀

19 kho lưu trữ GitHub hữu ích mà bạn cần để trở thành nhà phát triển giỏi hơn 🔥🚀

成为更好的开发人员所需的 19 个有用的 GitHub 存储库 🔥🚀

The cryptocurrency world may look a bit complicated from inexpert eyes, but there are a lot of free tools to make it easy for everyone. You can find real-time information about prices, stats, events, maps, hacks, addresses, and much more for free. Do you already know where to look? In this exploration, we’ll unveil . Whether you're a seasoned trader or a curious beginner, these resources open doors to data-driven insights, enabling you to make informed decisions and stay ahead in the ever-changing crypto world. Let's check! over five essential digital companions that empower enthusiasts and investors alike to delve into the world of cryptocurrency data Prices and stats Likely the first thing that comes to your mind is the famous website (CMC), where you can see prices, percentages, volumes, supplies, charts, trending coins, and even some news. There are more options with their own set of features, though. For instance, on you can find coins and tokens organized by category (applications, consensus type, sector, and underlying chain), and other useful data like news, insights, reports, podcasts, and directories. CoinMarketCap CryptoSlate is another popular alternative. It’s very similar to CMC, and it has categories like CryptoSlate. However, CoinGecko it’s considered a bit more objective because CMC is fully owned by the exchange Binance, while CoinGecko is independent. To see even more data about a specific coin, could be your ally. It has the classic list by market capitalization, but you can see more stats and charts in every coin. That includes net worth growth, large transactions, concentration, volume by fiat currency, social media activity, development, real-time trades, and a forum. CryptoCompare Calendar and events There are numerous crypto calendars around, all similar but with their own features. partnerships, upcoming hackathons, conferences, digital events (AMAs, lives, etc.), forks, Initial Coin Offerings (ICOs), meetups, and more, depending on the chain and dates selected. They often show token updates, announcements, exchange listings, airdrops, releases, token burns, CoinMarketCap also offers a simple calendar, but there are other platforms specialized in it. They include CoinMarketCal, Coindar, and CryptoKal. In some of them, you can add your own events and customize your options. On the other hand, another interesting alternative is , a calendar to discover economic events worldwide that could affect the crypto market at a determined moment. They include a legend for low or high-impact events, central bank rates, and impact charts. CryptoCraft Chain explorers Transparency is a great advantage in public chains, so we can discover all data about crypto transactions —starting with their legitimacy. Even private coins have their own explorers for the involved actors to check, and we also have multi-currency explorers available as user-friendly and free-to-use websites. , and explore the intricate details of numerous networks. All of this from a search bar if you have specific data (wallet address, transaction hash, block number, token contract, etc.) or through a list of coins and categories for more general insights. By using these tools, anyone could trace transactions, inspect wallet balances, monitor network activity, delve into smart contract interactions (previously Blockchain.info) is probably the most used multi-chain crypto explorer, and also the first one of its kind. It works with Bitcoin, Bitcoin Cash, and Ethereum; and also includes prices, charts, last transactions and blocks, news, two types of hot wallets, and its own exchange. Other explorers offer more assets, though. Blockchain.com and including features for ERC-20 (internal tokens on Ethereum), ERC-721 (mostly NFTs), and ENS (domain names on Ethereum). Besides, it offers additional functions like an anonymous portfolio tracker, node explorer, news aggregator, chain comparing, and release monitor (calendar). is another popular option, working with at least 17 chains Blockchair Other options include , which supports 36 networks, and , which supports +120 networks in one place. The latter also provides services for developers, like APIs, subscriptions, and nodes as a service. OKLink TokenView Maps and databases These tools provide a dynamic overview of the global crypto landscape, offering a visual representation or quick list of For instance, in we can find a real-time map of Bitcoin nodes, and shows 34,400+ venues where to buy products and services with cryptocurrencies worldwide. nodes worldwide, shopping places, network activity, and other numerous projects and services. BitNodes CoinMap For their part, on websites like , we can find useful databases, services, and projects from different networks. Examples include cross-chain bridges (like ), staking services, scaling solutions, venture capital companies, OTC desks, lending and payment services, analytic tools, projects by ecosystem, news websites, and much more. is another directory, this one separated by categories. It also offers reviews, interviews, guides, and market updates. Decentralized Finance Counterstake CryptoAtlas Hacks + Scams Alerts Sadly, crypto hacks (but especially DeFi hacks) are quite common, and we should be prepared for them. Several tools could give us real-time alerts and insights about crypto hacks and scams. The first one we can mention is Twitter (X), where we can find the most recent news. The latter even has its own Chrome security extension ( ) for crypto activities. Accounts like , , and post valuable information in real-time. CertiK Alert Chainabuse PeckShield Alert AegisWeb3 In addition, we can find several databases that list crypto and DeFi hacks, including stolen funds, chain, type of issue, date, and other details. The by DeFiYield, , and the by the US Department of Financial Protection and Innovation (DFPI) are only some of them. They’re for already-done hacks, though. If you want to consult the trust level of a certain platform, coin, or brand, you can search on sites like and . Rekt database Rekt News Crypto Scam Tracker TrustPilot ScamAdviser Obyte Tools Of course, Obyte also has its own tools to explore relevant data and stats. We can mention first the data explorer , In addition, it’s also available a list of chatbots, polls, and a ledger timeline. All this data could help in the creation of smart contracts without coding. Obyte.io where users can find addresses for oracles (data feeds), internal tokens, attestors, Dapps, autonomous agents, and order providers. In contrast, developers also count on and documentation for starting. This includes several libraries, a headless wallet, an Oscript editor, an Autonomous Agents Testkit, and numerous guides to build in the Obyte ecosystem. A testnet is also available for developers and users alike to test the Obyte features without technical risks or real funds involved. several tools The website Separately, on , anyone can consult data about liquidity mining in Oswap.io and the distribution of rewards to liquidity providers. For more detailed information, of course, Obyte has its own where you can see the Directed Acyclic Graph (DAG) in real-time and search by unit, address, or asset (only for public tokens). Obyte Stats shows data like connected wallets, nodes, richest addresses, order providers, and transaction history. Liquidity Obyte ledger explorer Finally, we can mention the , the and the to discover guides, DAG concepts, specific features, releases, and announcements. Considering all the above, Obyte stands as a comprehensive and transparent ecosystem, offering numerous tools for users and developers alike to navigate the decentralized world without barriers. Remember, if you have suggestions or comments, you can contact us via or ! Obyte whitepaper Obyte Wiki, Obyte blog Discord Telegram Featured Vector Image by Freepik

5+ Digital and Free Tools You Need to Discover Useful Crypto Data

দরকারী ক্রিপ্টো ডেটা আবিষ্কার করার জন্য আপনার প্রয়োজন 5+ ডিজিটাল এবং বিনামূল্যের টুল

5+ digitale und kostenlose Tools, die Sie benötigen, um nützliche Kryptodaten zu entdecken

Más de 5 herramientas digitales y gratuitas que necesita para descubrir datos criptográficos útiles

5+ outils numériques et gratuits dont vous avez besoin pour découvrir des données cryptographiques utiles

उपयोगी क्रिप्टो डेटा खोजने के लिए आपको 5+ डिजिटल और निःशुल्क टूल की आवश्यकता है

有用な暗号データを発見するために必要な 5 つ以上のデジタル無料ツール

유용한 암호화폐 데이터를 발견하는 데 필요한 5가지 이상의 디지털 및 무료 도구

Mais de 5 ferramentas digitais e gratuitas que você precisa para descobrir dados criptográficos úteis

5+ цифровых и бесплатных инструментов, необходимых для поиска полезных криптоданных

Yararlı Kripto Verilerini Keşfetmek İçin İhtiyacınız Olan 5+ Dijital ve Ücretsiz Araç

Hơn 5 công cụ kỹ thuật số và miễn phí bạn cần để khám phá dữ liệu tiền điện tử hữu ích

发现有用的加密数据所需的 5+ 个数字和免费工具

A lot of mobile advertisers fail to scale their ad campaigns on various ad platforms before they even begin. When it comes to , tossing aside your gut feelings won't cut it. While it's a challenging endeavor, with a strategic approach, you can navigate this terrain and maximize your ad campaigns' potential. scaling In this article, I'll explore the key principles of scaling, common missteps, and proven strategies we have developed at , a performance marketing agency, to ensure your ad campaigns thrive. AdQuantum Understanding Scaling and Its Purpose Scaling refers to increasing the daily ad budget for a given project. Every app is unique, with , distinct benchmarks, , average revenues, and lifetime value rates. monetization strategies unit economics These variables should be factored in before employing uniform scaling strategies across varied products. While some campaigns may accommodate doubling the budget daily without hitches, others may falter with even minimal changes. There are two scaling methods: vertical and horizontal. Vertical scaling involves increasing budgets and bids within campaigns, while horizontal scaling entails making changes to campaign settings, optimization, and duplicating campaigns. So, it comes down to deciding if you want to duplicate a profitable campaign or increase its budget. The choice between scaling types should be case-specific. On paid social platforms, vertical scaling – beginning with a budget increase followed by raising the bid – is typically recommended. However, blending both techniques often yields better results on these platforms. only allow vertical scaling. Horizontal scaling is futile since duplicated campaigns target the same audience as the original one. Mobile ad networks Before initiating campaign scaling, ensure your product is ripe for it. A product is deemed scale-ready when it demonstrates positive unit economics concerning paid user acquisition – indicating that the campaign has consistently met its KPIs for at least 2-3 days. From a marketing perspective, before scaling: Engage in creative testing. Ascertain the stability of ad campaigns, ensuring they don't incur abrupt cost hikes as budgets escalate. Ensure the user acquisition team has deduced the threshold metrics correlating ad spent to product profitability – surpassing these metrics could be detrimental. While preparation demands considerable time and effort, the returns justify the investment. Relying solely on intuition can deplete budgets and undermine the efficacy of campaigns. Thus, allocating time for refining and enhancing your marketing strategies is pivotal for scaling success. Pitfalls of Scaling Scaling, while promising, entails challenges that warrant meticulous attention. Below are potential pitfalls in scaling ad campaigns: Audience Limitations Every product has its limitations: the target audience is limited to a specific city or country, the level of user’s interest in the product, and the ability to engage users within an app. Additionally, advertisers often vie for the same audience, leading to or getting overshadowed by competitors with larger budgets. ad fatigue Simply having a high average revenue per user (ARPU) doesn't guarantee that a project will be more successful than its competitors. When it comes to user acquisition, a higher ARPU means users on average spend more, but it also means a smaller percentage of users can afford it. Typically, there are more people willing to pay $30 for a subscription than those willing to pay $100. Conversely, projects with lower subscription costs face greater competition for the same audience. That's why it's crucial to develop an effective user acquisition strategy before you start scaling to attract a steady stream of new users without suffering substantial losses. Cannibalization This occurs when one campaign eats into another's traffic. Blindly duplicating campaigns can result in them competing against each other. To prevent cannibalization, implement a strategic approach to campaign duplication by diversifying targeting parameters. Experiment with various audience segments, ad creatives, and GEOs to reach new audiences without overlap. Regularly analyze the performance of your campaigns to identify potential overlaps and optimize budget allocation for maximum efficiency. Abrupt Budget Increases Sometimes, when an advertiser sees a campaign performing 2-3 times better than the target KPI, they impulsively start to significantly increase the budget for this campaign. However, in such cases, the media buying process usually gets disrupted. In practice, it's better to increase the budget gradually. For example, if a campaign performed well at $300 per day, try keeping it at $500-600 per day for a few days before jumping to a budget of several thousand dollars. Premature Budget Increases To avoid impulsive decisions, consider specific factors before increasing the campaign budget. Firstly, ensure that the campaign has consistently performed well over a longer period of time of not less than 3 days. Secondly, make sure the campaign has completed its learning phase. And thirdly, ensure it has already achieved several purchases at the target cost. Auction Limitations No secret auctions have limitations. It's not uncommon for campaigns to experience a sudden decline, even after months of successful performance, resulting in a failure to attract the desired target audience. And the reasons for that may be: Getting pushed out of the auction – this issue may arise when competing projects allocate larger budgets toward more compelling creatives, so you need to either increase your spending or find a better creative. Product-channel fit – when a product reaches the limit of its available audience within the ad channels it fits, further spending growth becomes challenging. This is mainly applicable to niche products. Competition in the auction within one product – this problem occurs when multiple teams are working on a project within the same advertising channel, such as both an agency and a client running campaigns simultaneously. There can be competition for top creatives, and if your ads aren’t strong enough, you may be outperformed, and your audience will be taken away. Thus, creatives become a crucial factor for scalability. The quality of campaign optimization – if a campaign lacks optimization data within the conversion window, it can limit the campaign's scalability. Thus, scaling becomes impossible. Algorithm changes and platform update scans also impact campaign performance and scalability. Staying updated with platform changes and adjusting campaign strategies accordingly is crucial to mitigate potential limitations. Misguided Scaling Approach Doubling the campaign budget may seem like an easy solution, but it doesn't always yield the desired results. A viable alternative is campaign duplication. Gradually increase spend on the main campaign, and create 1-2 duplicates with minor audience and placement variations. This step-by-step approach allows for a better evaluation of the impact of increased spend and provides a smoother path to scaling. Creative Fatigue Ad creatives eventually experience fatigue, evident when click-through rate (CTR) and install rate (IR) drop while the cost per thousand (CPM) rises. Even in such cases, campaigns can still perform decently but not at their previous volume or level. To overcome creative fatigue, it's crucial to be prepared with multiple reserve creative approaches. Instead of aggressive scaling, have new and fresh ad creatives ready to replace exhausted ones. By regularly refreshing your ad content and introducing new creative variations, you can maintain user engagement while avoiding creative fatigue. Summing Up Mastering mobile ad campaign scaling is both an art and a science. It demands a blend of strategic foresight, a keen understanding of your audience, and a vigilant eye on the ever-changing digital landscape. Remember, scaling isn't just about increasing budgets; it's about making calculated decisions that align with your product's unique metrics and market dynamics. A thoughtful, well-prepared strategy in advance is your roadmap to navigating this complex terrain. If you have any questions about mobile ad campaign scaling or need further clarification on any points discussed in this article, feel free to reach out to me. Just ping me on LinkedIn, and I'll be more than happy to make things clearer for you. Scale wisely and confidently, and watch your campaigns soar to new heights!

Mastering Mobile Ad Campaign Scaling: Common Pitfalls and Useful Tips

মোবাইল বিজ্ঞাপন প্রচারাভিযান স্কেলিং আয়ত্ত করা: সাধারণ সমস্যা এবং দরকারী টিপস

Die Skalierung mobiler Werbekampagnen meistern: Häufige Fallstricke und nützliche Tipps

Dominar el escalado de las campañas publicitarias móviles: errores comunes y consejos útiles

Maîtriser la mise à l'échelle des campagnes publicitaires mobiles : pièges courants et conseils utiles

मोबाइल विज्ञापन अभियान स्केलिंग में महारत हासिल करना: सामान्य नुकसान और उपयोगी युक्तियाँ

モバイル広告キャンペーンのスケーリングをマスターする: よくある落とし穴と役立つヒント

모바일 광고 캠페인 크기 조정 마스터하기: 일반적인 함정과 유용한 팁

Dominando o dimensionamento de campanhas publicitárias para celular: armadilhas comuns e dicas úteis

Освоение масштабирования мобильной рекламной кампании: распространенные ошибки и полезные советы

Mobil Reklam Kampanyasını Ölçeklendirmede Ustalaşmak: Sık Karşılaşılan Tuzaklar ve Yararlı İpuçları

Nắm vững quy mô chiến dịch quảng cáo trên thiết bị di động: Những cạm bẫy phổ biến và mẹo hữu ích

掌握移动广告活动规模：常见陷阱和有用提示

USEFUL

useful.app

-- employees

Since n.d.

COMPANY RANKING

USEFUL

EVERGREEN INDEX #11895

Representing this company? Click here to claim and customize this page!

Useful WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

USEFUL

useful.app

-- employees

Since n.d.

COMPANY RANKING

USEFUL

EVERGREEN INDEX #11895

RELATED COMPANIESRANK

STORIES ABOUT USEFUL

Representing this company? Click here to claim and customize this page!

Useful WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!