AI & Machine Learning

Web3 Development

NFT & Metaverse

Blockchain Development

Blockchain Solutions

Products

Get in Touch
arrow-left Back to ‘Today at Nextrope Blog’

Is StarDust the future of blockchain gaming? Analysis of the project

Maciej Zieliński

14 Sep 2022
Is StarDust the future of blockchain gaming? Analysis of the project
Table of Contents

Nowadays, every game developer should be able to succeed financially by selling their products. Stardust's mission is to increase the revenue of authors of such productions. Blockchain has created a paradigm shift in the monetization of video games, transforming games from closed-circuit microtransaction revenue to an open-world meta-economy monetized through the community. The Stardust project makes blockchain technology easily accessible to any developer. This is because it is a platform for authors to create blockchain-based games easily. Like PlayFab (a complete platform for live games with managed game services, real-time analytics and LiveOps), Stardust allows developers to easily create and manage NFTs in their games without needing blockchain code. Notably, the platform is available to everyone, from independent developers to AAA (games with the highest budgeting and promotion). Creating fast, secure, and scalable blockchain-based games is time-consuming and expensive for developers. What does this project offer, and why is it worth knowing? We write about it below!

What problems does Stardust solve? 

The most significant advantages cited by developers when building virtual worlds with the help of Stardust are that:

  • Provides developers with a solution without writing code to create and manage NFTs,
  • Stardust optimizes transactions, making blockchain-based games as fast as non-blockchain games.

What does Stardust provide? 

The Stardust project provides players with wallets powered by Fireblocks. It is a platform for storing, transferring, and settling digital assets. It helps guarantee the best gaming experience. Players are supposed to be able to buy NFTs with a credit card or cryptocurrency easily. The Stardust payment widget allows many different options when purchasing NFTs. The Stardust Dashboard makes it easy for any developer to create game snippets without writing code.

StarDust

As part of navigating Stardust, game developers can:

  • Create NFTs for their productions,
  • Observe players and their inventory,
  • Configure their store,
  • Do without creating wallets, buying cryptocurrencies, or smart contracts.

Stardust API

The Stardust API decouples blockchain from game developers, and creating assets is as simple as a few lines of code. In addition, Stardust provides: 

  • No transaction signing. 
  • No private key management. 
  • Response time of 100ms. 
  • The processing engine takes standardized JSON data and converts it into signed blockchain transactions that are processed instantly. 

This is all to provide game developers with the instant response time they need and then send and settle transactions on the blockchain. With this model and serverless architecture, millions of in-game actions can be processed simultaneously, providing big games with the speed and scalability needed to run games at total capacity. The processing engine is also completely independent of the blockchain, making it possible to process many of them simultaneously. With the Stardust API, game developers can provide trust wallets for users to log in based on username/password or social media.

Stardust payments

There are many solutions in this area - Crypto, Wyre, Ramp, etc. However, game developers need a fully integrated product that allows them to sell their NFTs directly to Fiat rather than the indirect path of Fiat -> Crypto -> NFT. With Stardust's payment widget, with just a few lines of code, developers can start accepting credit cards from Circle, Coinbase Commerce, and other currencies.

Why isn't Stardust building a blockchain? 

Stardust is focused on enabling game developers to create games faster and more efficiently using NFT. Unlike authors who focus on blockchain technology - with Stardust, they can focus 100% of their resources on producing virtual entertainment. This has made Stardust an interesting option for adding value to major development studios, both native web2 and web3. Blockchains are like operating systems - each has unique advantages, disadvantages, and costs. Starting with the scalability dilemma and native web3 user interfaces, developers must consider many new factors during the implementation process. Some productions may require faster transaction speeds, while others may require greater security and flexibility regarding data stored on the blockchain. By maintaining a blockchain-independent approach, Stardust can provide game developers with the option to choose the blockchain that best suits their gaming needs. Fantastic blockchain and scaling solutions are available today - fast, flexible, cheap and secure. Stardust's product is aimed specifically at developers. 

What are Stardust's goals? 

In order for Project Stardust to best serve game developers, certain external theses had to be adopted. Stardust's goal is to make it as easy as possible to capture, manage and trade NFTs so that developers can focus on what they do best - making great games. Amazing blockchains and above-average teams are working on some of the world's most challenging issues. Stardust, as you can see, does not intend to compete with them but mainly to cooperate and work together to make their work easier through flexible and intuitive tools.

Dark Taverns - the first Stardust game 

Dark Taverns is a free-to-play open-world MMORPG set in a fantasy environment. Players can explore the deep forest and discover mysterious creatures and items, form guilds with friends needed to fight new threats, or explore the world alone. Gamers embark on an unforgettable journey in a new virtual world they can now explore like never before. Backed by a growing 39-person development team of former Ubisoft and NCSoft employees with extensive experience in AAA games, the developer has set itself a challenging task. With the increased emphasis on player ownership, people began to look for answers to what players want to own. In the case of Dark Taverns, the game's titular tavern is the focal point of the world. Players enter the world, meet, rest, and regenerate. The team began to think about how they could create more usability for players. With the development of Web3, the concept of a virtual property went from an idea to reality. Dark Taverns is exploring what this means not only for players but also for that outside of it. There are 10,000 taverns in this virtual world, all of which are available for purchase by interested parties. Players who own a Tavern can customize its appearance, rent rooms, and hold meetings and events. The boss determines changes in tavern settings. They can have public areas that anyone can enter or be pretty private. The latter can be not only a ticket to an event but also an invitation for people outside that game area to log in and enter a private room. A tavern is a virtual space that is not only a central point of entertainment but also a place for various virtual experiences. Owners can plan concerts, comedian appearances, or gatherings for both in-game and out-of-game guests.

First good game with full Web3 functionality

With the popularity of Web3, the Dark Taverns team immediately began exploring the possibilities of the technology. Today, the team can program all the elements of Web3 on its own. Co-founder, architect, and game developer Tony Hobda said: "We knew how to do it, but finding the best way to program Web3 made it a lot less effort. Dark Taverns wants to let players experience the benefits of blockchain-based gameplay without making it mandatory or the game's focus. Players can acquire or buy items they have the right to resell in the ecosystem or mint an item and sell it on the market. Stardust is a new Web3 platform focused on the Metaverse, specifically creating solutions that integrate blockchain services, such as NFT, with video games. Its latest collaboration is "Tilting Point," an independent developer's production for mobile devices. "Tilting Point," which previously created gameplay with a free-to-play model with transactions inside, is now moving to a play-to-pay model in which players can win NFTs by entering into a virtual world competition.

Stardust WEB 2 and WEB 3 

Web2 refers to the version of the Internet that most of us are familiar with today. The Internet is dominated by companies that provide services in exchange for personal information. In the context of Ethereum, Web3 refers to decentralized applications running on the blockchain. These allow anyone to participate without making money from their data.

The benefits of WEB 3 are as follows:

  • Everyone on the network has permission to use the service - in other words, no licenses are required,
  • No one can take away a user's right to participate in web3,
  • ETH tokens as forms of payment - an additional benefit is the flexibility of this solution, which allows for expansion and programming of further functionality.

WEB 3 disadvantages: 

Web3 now has some limitations. First, scalability - transactions in web3 are slower because they are decentralized. State changes, such as payments, must be processed by "miners" and distributed across the network. 

Second, UX -interaction with web3 applications may require additional steps, software, and education. This can present some obstacles. And third, cost - most successful applications place tiny pieces of code in the blockchain because it is expensive.

The future of blockchain-based gaming

The gaming sector itself is growing faster than the film industry. So it's no surprise that NFT and blockchain are being used to improve the industry. As of today, there are more than 1,450 games that have been developed on blockchain technology. The success of significant titles, e.g., Axie Infinity, shows that the cryptocurrency and gaming industries complement each other well. Unfortunately, larger gaming studios are holding back on investing in and producing such titles due to cryptocurrency laws and regulations. Let's hope that the situation will change to a more liberal one in time. 

Tagi

Most viewed

Never miss a story

Stay updated about Nextrope news as it happens.

You are subscribed

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!

Tagi

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?
Table of Contents

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
Nextrope Logo

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

Tagi