Top 10 NFT projects in 2022! 

Maciej Zieliński

26 Jul 2022
Top 10 NFT projects in 2022! 

The increasing digitization of almost every sector of the economy has made NFT tokens more popular. The technology itself can offer a lot to its participants. The benefits can start from enhancing digital currency, to copyrighting music, movies and art, and even creating a single community. Interestingly - in 2021 alone, the NFT market generated token sales of about $75,736,378. Not surprisingly, many people are thinking about buying their own NFT, but don't know what its value might be. What projects are worth exploring in 2022? Why exactly is a particular NFT attractive? We write about it below! 

nft

How to assess whether a given NFT is attractive? 

The value of a given NFT is determined by a number of factors - from the team behind it to the technology that represents a particular NFT. The most important elements that suggest that a given NFT is attractive are the following:

  • Rarity - a determination of how difficult it is to obtain an NFT token. 
  • Utility - defining the use of a particular NFT in digital and physical versions. 
  • Tangibility - linking the digitization of the NFT to the physical world. 

Each of the functions can be checked with the appropriate tools. We wrote more on this topic -> here. If you check a given project using these tools and taking into account the factors mentioned above, you will be more aware of a potential NFT purchase. 

nft

Top 10 NFT projects in 2022! 

Nevertheless, we have prepared a list of the top 10 NFT projects for 2022. We point out here that this is the subjective assessment of the author of the text and is not intended to encourage anyone to make an investment/purchase of a particular NFT. You are welcome!

LazyLions NFT

This is an NFT platform based on the Ethereum blockchain. LazyLions offers 160 different features that distinguish each lion. The features in question include clothes, mane, facial expressions and more. LazyLions is also a meeting place for the NFT community in the form of Private Island. The benefits of NFT LazyLions include additional Airdrops, individual communication channels with the community, you get voting rights regarding the project. When you purchase a Lazy Lions or Lazy Bungalows NFT image, the art is completely yours. Whether you want to print and sell the merchandise, use it in advertising, or want it to be the star of your own show! You can read more about the project itself on its website, which can be found -> here. 

Unusual whales 

Unusual whales is an NFT project that collects 6,969 whales. Each of them has individual characteristics, which makes them rare. In addition, the project has special tools to help make investments. The site tracks whale transactions in the NFT market and follows the best portfolios in the space. According to the creators, the whales are supposed to help trade cryptocurrencies through relevant tools and cut off any speculators. An interesting point is that you can buy whales at attractive prices. In the future, it is planned to implement investment solutions from the capital market into the NFT project. Details about the project can be found on this page -> click. 

Cryptopunks

This is a project that was developed on the Ethereum Blockchain in 2017. It was developed using Larva Labs studio. It has 10,000 unique collectible items with ownership in its database. The very premise of the project is punks that can be purchased, auctioned and sold. Each punk has a background color, which indicates its situation i.e. whether it is for sale or not. This design is attractive due to the fact that, realistically, the supply of NFTs has been limited invariably to 10,000 pieces, which ensures that they do not fall in value. The graphics themselves are associated with childhood games on old consoles, which also has its own appeal. The project website can be found -> here. 

Sneaky Vampire Syndicate and NFT

At a time when every young person is familiar with the Twilight film series and is aware of the existence of B. Dracula. Stoker, it didn't take long for NFTs related to vampires. According to the creators, there are 8,888 vampires, where each of them has its own specific traits and characteristics. Interestingly - the NFT itself is in a way an aftermath of the Bored Ape Yacht Club and its creators. The plot of Sneaky Vampire Syndicate is set in a vampire house fenced off from the reach of sunlight, where each vampire takes action. The project itself is interesting for several reasons:

  • first - it has been a success right from the start, 
  • second - the people behind it are those who make up the Bored Ape Yacht Club with experience in this subject matter, 
  • third - the amount of NFT supply has been limited to 8,888 vampires, 
  • fourth - an NFT purchase reservation system was created, which led to saving hundreds of thousands of dollars for Ethereum gas. 

Are you interested in the concept of vampires in NFT? Read more about it -> here. 

Bored Ape Yacht Club

This is an NFT project that is already known almost everywhere in the cryptocurrency and blcokchain technology community. It consists of 10,000 NFT monkeys, where each monkey has its own uniqueness. The NFT itself is popular with global celebrities such as Eminem and Snoop Dogg. People who buy monkeys get access to the vip community. Access to the club itself gives many benefits - from earning from the increase in the value of the monkey, to participation in events organized with celebrities in the US.  In our opinion, the appeal of the project lies in the limited supply of NFT tokens, access to a cool group of people and organized events. Although the project is extremely popular, it is still worth learning more about it. You can find them -> here. 

The cryptoDads

The cryptoDads is a collection of 10,000 unique, randomly generated NFTs based on Ethereum blockchain technology. The NFT color scheme itself is reminiscent of the TV series "Bobs Burgers." The collection is a satire of mid-life crises in men who have been placed in the world of cryptocurrencies and graphics. It's an interesting design that deviates in its construction and behavior from others. The cryptoDads focuses on quality in artwork, rather than the rarity of the piece. The goal of NFT's founders is for people to identify with the virtual figures and have an emotional approach to them. The approach to people owning NFT on cryptoDads is interesting - they have access to channels on a variety of topics, including sites with memes and jokes about fathers, pets, the garage, etc. A very cool aspect is that members can also ask any questions or seek help with issues they are facing. The satirical page of the NFT itself can be found here -> check it out. 

CyberKongz

This is a project that means more than just NFT. The randomly generated avatar can appear in 2D or 3D. The graphic process itself is based on the evolution of humans from monkeys. Each monkey has specific features that make them visually appealing. The project makes NFT monkeys affiliated with charities and donates about 10% of profits to them , to play their key role in improving the world. It's a cool initiative that focuses on helping others, seeing people's development and directing their thinking towards charitable actions. Do you like CybreKongs? Check out their website

VeeFriends

The creator of the NFT platform is Gary Vaynerchuk - an American entrepreneur, author of four New York Times bestsellers, motivational speaker and internationally renowned Internet personality. He created NFT aimed at developing and supporting his business and creative ideas. Each token within the Series 1 collection is based on one of 268 characters that were originally hand-drawn by Vaynerchuk as representations of human traits. Interestingly, he displays qualities that he himself uniquely values in another human being. NFT buyers get access to Gary's materials and have a real impact on the development of his ideas. It's an interesting concept, because there is a real successful man behind it, who can be supported by us. We encourage you to check out more information about the project on his website. 

uUnicorns

Uunicorns stands for Uninterested Unicorns. The project is based on the Ethereum Blockchain, and the number of unicorns is 6900. It was founded by Terence Ting, who is also the owner of esports company Team Flash, Co-founder of The Asian Mint. The creators believe that their project is the development and expansion of the Internet economy, metaverse and video games. uUnicorn is to create an online entertainment destination for every token holder. The unicorns themselves have a nice and aesthetically pleasing design in the climate of a digital fairy tale. uUnicorns has its own website, which presents more information about the NFT in question. 

Doge Pound

The NFT platform consists of attractive artworks depicting dogs in hipster outfits. This NFT is created with the help of complex algorithms that combine many individual features on the dogs, for example, clothes, fur, hat, eyes, background and more. Each Doge Pound is aesthetically pleasing and individual. A very important advantage is that  each Doge Pound NFT carries a different initial value, which is determined by considering various factors. It is not the most popular project, but it is gaining interest. Work is underway regarding the creation of tokens and accessories for the Metaverse. Early entry into the Metaverse will make Doge Pound one of the first NFTs in the new technological world.

You can read more about the project itself on its website, which can be found -> here. 

Summary 

As you can see, the NFT token market is becoming more and more popular. However, we should remember to check each platform with the right tools. An important aspect is to check the history of the project, team members and token supply. Tokenomics, is an essential element that should be analyzed before buying NFT. The above list is our subjective discussion of projects and should not be taken as an offer or investment proposal. 

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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!