Top 10 Metaverse in 2022! 

Maciej Zieliński

03 Aug 2022
Top 10 Metaverse in 2022! 

The current era of technological transformation is extremely attractive. This is due to implementations of networks 3.0, cryptocurrencies, or the metaverse. In this article, we will address the concept of metaverse and the best projects related to it. This is one of the most interesting concepts, where avatar users can interact with each other, perform daily activities and experience the same kind of feelings as in the real world. It's a combination of digital and real life. Which projects are the most interesting? What do they represent? We write about it below!

Development of the metaverse 

The metaverse is an online environment where the social interactions we have become more multidimensional, leading us to engage and connect with others in unconventional ways. According to a recent study, the global metaverse market is expected to grow by up to 40% in the next eight years. Its value will exceed more than $600 billion. For this reason, it is worth knowing the best metaverse that will grow throughout the current year.  

Metaverse

Gala (GALA)

Gala is a blockchain gaming platform that uses NFT in entertainment. This project is engaged in organizing a series of blockchain-based games, called social games, which focus on interpersonal relationships and making new friends. Currently available games developed in the ecosystem are: 

  • Mirandus, 
  • Spider Tank, 
  • Town Star, 
  • Fortified 
  • Echoes of Empire. 

GALA relies on authorities and wide ownership. Settlements are based on GALA's coin, which allows for :

  • managing the network, 
  • awarding rewards and incentives to node operators. 
  • Of course, GALA is also used when buying NFT digital assets in game stores and player markets.

Sensorium Galaxy (SENSO) metaverse

Sensorium Galaxy is a digital virtual world developed in collaboration with the world's top artists, producers and media companies. This metaverse consists of several worlds, each of which serves as a hub for a specific set of experiences. For example, PRISM - is the most relevant world of Sensorium Galaxy. Here, Metaverse users have access to exclusive VR performances by top artists on the charts. Who are we talking about? The top musicians themselves: 

  • David Guetta, 
  • Steve Aoki, 
  • Armin van Buuren and many more! 

Metaverse combines AI and virtual reality with the best entertainment content in the virtual reality galaxy. The project allows you to provide a multi-sensory experience that extends to other worlds! One of the most important features of the platform is the currency - SENSO - which uses blockchain technology to run an honest, transparent and decentralized economy. The token can be used for a variety of transactions, from creating new avatars to buying tickets to events and creating original content.

Decentraland metaverse

Decentraland is an already well-established metaverse project that is known among many participants. It offers to purchase virtual land for millions of dollars!  In this metaverse you can: 

  • buy your favorite brands, 
  • participate in events, 
  • play games
  • meet new people, 
  • build new business projects, and have a nice time. 

All operations are very realistic and have an interesting atmosphere. For these reasons, Decentraland remains one of the best projects of its kind. The project is built on the Ethereum blockchain and is owned by users. Entities that enter it have many options. They can create many of their own configurations, avatars, markets, digital infrastructure and applications. The cryptocurrency that supports the entire vibrant virtual world is called MANA and can be easily purchased through the most popular cryptocurrency exchanges. Interestingly - Decentraland is also a good place for marketing, as it helps to advertise and promote many products. It is almost certain that the platform will continue to grow in 2022, as it has been very successful so far. 

Axie Infinity 

It's a metaverse, yet a game that has been enjoyed by millions of people around the world! The concept is based on cute animals. By playing Axie, you can earn funds. Ethereum - the technology that creates the game allows the use of cryptocurrencies in the form of Axie AXS and SLP. Each crypto has different functionality. It is noteworthy that AXS was among the top cryptocurrencies in the Metaverse, and in 2021 alone its value increased by about 200% compared to the previous year. SLP tokens are also called Tenderness Potion. They can be obtained as rewards in battle or adventure mode. As interest in the game increases, it is the value of its crypto and tokens that continues to rise. The ease of earning income and transferring it to cryptocurrency exchanges only improves the project's financial situation. 

The Sandbox 

This is a metaverse built on the Ethereum blockchain. Like Decentraland, this metaverse focuses on creating original content and games. The Sandbox is inspired by Minecraft and Roblox. Every participant in the metaverse can use their imagination and create worlds that meet their expectations. Players monetize their in-game experience and earn a SAND token through it. The above token is used throughout the platform and transactions and interactions can be made with it. What is the scale of interest in this metaverse? To date, more than 70 million unique worlds have been created on the platform, which has greatly expanded NFT. In addition, Sandbox allows its community to create games, resources and applications on its storylines. 

Metahero 

This world uses 3D technology and combines physical and virtual experiences. According to the platform, the metaverse involves creating surreal digital clones that users can customize and use in many Metaverse events. The project has partnered with Wolf Digital World (WDW). As a result, each 3D avatar has realistic body shapes and realistic faces, resulting in an extraordinary visual experience. An interesting feature is the provision of a scanner of their own bodies and the removal of these scans by NFT! In addition, avatars can be equipped with various skills and powers from different classes, such as: 

  • Melee Expert, 
  • Wizard, 
  • Psychologist, 
  • Summoner, 
  • Elementalist, 
  • Ranged Expert, or Assassin. 

Players can promote new members and trade NFT with them. Settlements are created based on the Metahero token, which is becoming increasingly popular! 

Somnium

This is a project that realizes the competition in the metaverse market. It is a 3D blockchain platform that enables unprecedented experiences. Unfortunately, Somnium itself has poor graphics. Nevertheless, the success is that it allows users to fully customize their avatar and the surrounding space. In fact, Somnium describes itself as an "open, social and sustainable virtual reality platform" that combines not only places where users can "live," but also: 

  • entertainment 
  • communication, 
  • e-commerce and other aspects of the metaverse. 

The difference between this project and the others is that it is based on Solana technology! 

This gives us new possibilities for the metaverse. The advantages of this solution are:

  • building NFT galleries, 
  • using VR avatars to visit concerts,
  • the ability to dance during the event (with the technical kit you have) and much more.
     

Undoubtedly, Somnium's success is also behind its cryptocurrency, which has become one of the most stable tokens currently available for Metaverse options. 

Star Atlas  

This is a unique project that was the first in the world to introduce the concept of AAA encrypted games. With the Star Atlas metaverse, you can explore the community, leave the world and return to it. The storyline, is another factor in the success of this game. Settlement and gameplay is based on two tokens:

  • ATLAS - the game's monetary system, which users can use when entering battlefields, exploring a new world, etc. 
  • POLIS - allows players to participate in political intrigue on the platform. 

Both cryptocurrencies are based on Solana technology. Players have to make decisions about the metaverse, vote on its course and construction, and develop individual features. Star Atlas This is one of the emerging and more interesting metaverse for 2022! 

Bloktopia 

The Metaverse Bloktopia project aims to create a unique platform where users in a 21-story virtual building can: 

  • learn, 
  • meet new people, 
  • conduct business and try out various activities. 

Initially, the metaverse will not be complete, so this world is heavily dependent on the participation and creativity of each user. Although not much has been revealed about the upcoming project in the coming months, there have been some interesting announcements about them. For example - it will be possible to buy World Wrestling Entertainment (WWE) space. It is also interesting to note that Bloktopia is trying to implement new content creation and revenue mechanisms for all who choose to live in this metaverse. 

Cryptovoxels (CVPA)

This is a metaverse similar to Minecraft. It consists of a global digital infrastructure and blocks on which land users can continuously build various products. Assets can be traded on OpenSeaw in exchange for ETH, but Cryptovoxels also has its own currency - Cryptovoxels Parcel (CVPA).  On this platform, each user retains ownership of the land, which is also NFT. What can you do here? Build your virtual properties, adding posters, signs or a soundtrack, or simply sell them. As one of the oldest projects in the Metaverse, Cryptovoxels has managed to create a great community that has grown over the years, resulting in increasingly creative and exciting NFTs.

As you can see, Metaverse is growing at a rapid pace. Buying properties, interacting with people, going to concerts, entertainment, meeting celebrities from show business - these are just a few of the solutions that make virtuality penetrate reality.

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AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series

AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!