Best NFT games

Maciej Zieliński

05 Dec 2021
Best NFT games

The gaming industry may be poised on the edge of its most extraordinary revolution. NFTs disrupt the way we have been thinking about digital assets and shape the new gaming economy. From Axie Infinity to NBA Top shots - we have analyzed the rapidly developing world of NFT games and distinguished six of its most successful representatives.

Table of contents:

  • NFTs - what they are
  • Blockchain game assets
  • Popular NFT gaming platforms
  • Top NFT games

What sounded unbelievable just a few years ago, is slowly becoming a mainstream reality today. Blockchain games have gained significant popularity. They revolutionize popular gaming genres by redefining the way we think about in-game assets and in-game purchases.

While more and more investors become interested in launching their own games, we try to answer what made some NFT games particularly successful. Why are there so many free NFT games among them? 

NFT tokens - what they are

NFT stands for Non Fungible Tokens. But what does it mean? Among various blockchain token types, we differentiate between fungible and non-fungible tokens. (You can read here more about token types

Examples of the first kind are Bitcoin or Ether. Fungible means that a single token is indistinguishable from others in the same ecosystem. Just like in regular currency. Thus, they can be used for payment transactions.

NFT’s non-fungibility means that every token in the system is unique. NFTs don’t have a common value and often do not allow for an equal exchange (NFT for NFT). Each token represents unique information of ownership or identity.  

In the blockchain world, NFTs are digital assets that represent a unique digital or real item. How can we use them in the game ecosystem?

NFT in games
NFT in games

NFT game - why does it make sense?

The gaming industry is a powerful branch fueled by its consumers’ passion. When gamers launch their favorite title, they immerse themselves in a new, alternative world. A quick look at the most popular games of the last decade, like League of Legends, Fortnite, or Counter-Strike, should be enough to see how modern gamers care about their characters, skins, and other in-game items. They treat them as an extension of their creative self. And what’s important, they can pay a lot for them.

The will to build a collection of unique items is nothing new. The games showed us how far beyond the real world this phenomenon could extend. But do the purchased items become their property? Do these items differ somehow from the ones possessed by others? Are they truly rare? Often the answer is not so simple. During the last few months, NFTs showed us that they might change that. 

Beginnings of NFT games 

Currently, the most popular NFT standard is ERC-721. Its first commercial use was an NFT game, CryptoKitties, which allows the players to buy, collect and sell virtual kitties. Since the game’s debut in 2017, Dapper Labbs made over 40 million USD off of it. CryptoKitties were the first game of this kind which started a whole new trend.

It seems like collectible blockchain games are the perfect environment for NFT. They allow the players to buy unique items and to keep full ownership of the purchased assets. That’s why we have seen a rapid growth of projects of such type during the last year.

Where will NFT games take us? 

NFT’s potential reaches far beyond collectible games. Let’s take, for example, multiplayer games like the aforementioned LOL or Fortnite. Possessed skins and champions are of great importance to the players. NFT allows the buyers to claim ownership over unique digital products.

What if it was implemented for rare and difficult-to-obtain game items they purchase? What if also, in these cases, the players had complete control over ownership rights they could trade with other players? The same could be applied to limited editions of character skins.

Best NFT games in the industry

Best NFT games: Axie Infinity
Best NFT games: Axie Infinity

Axie Infinity

The public heard about Axie Infinity for the first time after the spectacular sale of a digital land plot. In February 2021, user Flying Falcon bought eight genesis plots worth approximately $1.5mln. This event may be considered a milestone for the NFT market. But what is so special about Axie Infinity?

Like many titles on this list, Axie allows its players to earn cryptocurrencies just for… playing. Yes, that’s right. The new phenomenon in the gaming industry already got its name: play-to-earn, and it’s constantly gaining popularity. 

Ok, but what do we mean by “playing” in the case of Axie? Axie resembles Pokemon, but on a Blockchain. The core of the game is combat between cartoon characters - Axies. What differentiates Axies from Pokemons is the fact that they are NFTs stored on the game’s Blockchain. Essentially they are NFTs-based digital creatures.

To create new characters, players “breed” them using the game’s native token, which can be earned through the game or bought from an exchange. By selling Axies or winning fights, players earned the currencies. Then they can sell them on the open market, making a profit.

Currently, dedicated players earn as much as thousands of dollars a month playing Axie Infinity. 

Best NFT games: Gods Unchained
Best NFT games: Gods Unchained

Gods Unchained

If you are up to date with the ICOs’ world, without a doubt, you’ve heard about Immutable X. Get to know the blockchain game created by its godfathers.

Gods Unchained is a trading card game that aims to give its players complete ownership over in-game items by using NFTs. Essentially its players collect digital playing card NFTs

Their motto is, “If you can’t sell your items, you don’t own them.” Thus the game allows users to sell their cards and other items for native GODS tokens, which can be exchanged for fiat money. 

It’s worth noting that God’s Unchained remains a free-to-play game. Cards can be unlocked simply by playing the game. Therefore Gods Unchained should be considered one of the truly play-to-earn games, which stands contrary to the standard model of gaming commerce.

Best NFT games: Top Shots
Best NFT games: Top Shots

NBA Top Shots

The outcome of the cooperation between NBA and Dapper Labs company, in the simplest terms, is an internet platform for exchanging virtual trading cards. At NBA Top Shots, basketball fans can buy and sell "moments" video clips from the last seasons of the competition that exist as NFTs on the Blockchain.

This is not the first time when NFTs have been used by a professional sports league; however, it is without a doubt the biggest one. CryptoSlam estimates that up until now, the total value of all transactions between users has already reached $370 million. 

What’s important about NBA TOP Shots is that they started hype around fan engagement through NFT tokens.

 NFT gaming: Neon District
NFT gaming: Neon District

Neon District 

Neon District is a cyberpunk role-playing game that allows players to collect and trade characters and gears that are unique virtual assets. Neon District is one of the coolest NFT games right now, redefining how many players think about them. 

Thanks to NFT, almost everything can be sold there. The price is determined by supply and demand. Furthermore, during tasks, players earn the game’s native tokens - $Neon. Those earnings can be used to buy in-game items. The tokens cannot yet be traded for other digital assets on external exchanges. But knowing other examples of NFT games is just a matter of time. 

Best NFT games: Decentraland
Best NFT games: Decentraland

Decentraland

Metaverses have recently become a hot topic. If you want to know how they may interfere with the crypto world, check Decentraland - a virtual world built on Ethereum blockchain

Decentraland is an NFT game that aims to create a global network of users exploring, creating, and trading in the virtual world owned by them. So far, Decentraland is a dynamically developing project, which earned its place among the best NFT games. 

On Decentraland, users can trade sell digital land plots while interacting with the virtual world by playing games. Over time, creators added such features as digital payments or the ability to create interactive applications that will be used in virtual reality.

 NFT gaming: The Sandbox
NFT gaming: The Sandbox

The Sandbox

The Sandbox is another NFT-based game that created its own metaverse. To date, it is one of the most popular NFT games for creating and trading in-game assets.

Like Minecraft or Roblox, this NFT game is voxel-based and offers an excellent opportunity to free users’ creativity. The Sandbox provides them with tools for creating and animating NFT objects that can be used in-game or sold on designed markets. But that’s not all - on the platform, users can also develop and play their games. Since users are able to make real money on their creations, The Sandbox is another example of play to earn the game.

Top NFT games - conclusion 

Right now, NFTs is probably the fastest developing branch of the Blockchain world. Among different industries, the gaming business seems to be particularly important. Because NFTs can represent unique digital objects, they may completely change the way we think about in-game transactions and in-game objects. 

What's unique about NFT games is how often they combine free-to-play with a play-to-earn model.

Although in the current NFT craze, many solutions that emerge every day will eventually turn out to be unnecessary, the NFT gaming world will most probably stay with us for long. Well-planned and developed projects, like those listed above, are one of its reasons.

Tagi

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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

Follow us to stay updated!

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