DeFi app – how to build a successful application

Maciej Zieliński

02 Feb 2021
DeFi app – how to build a successful application

Decentralised apps are winning the hearts (and wallets) of users around the world. But despite their growing popularity, the process of launching them remains fraught with challenges and obstacles. What do you need to know before you start working on your DeFi application project? What are the most common mistakes?

The implementation of DeFi applications requires specialist knowledge and a range of diverse skills. A deep knowledge of the decentralized finance market and a team proficient in Blockchain technology are the absolute foundation. 

At Nextrope, we have a track record of working with a number of DeFi projects for which we have created numerous successful solutions in the market. Based on our experience, here is everything you need to know to build a successful DeFi App. 

How to build a Defi application ?

What you need to keep in mind when planning a successful DeFi project:

  • Contact with the target group
  • Speed of project development 
  • Experienced development team
  • Thorough analysis of business logic
  • Integration with other DeFi apps
  • Refined UX Design 

Contact with the target group

It is important to accurately define the target audience of your DeFi app. This will help you not only in planning your project, but also in testing it for UX optimization. Try to catch up with people who might be interested in developing your solution. Their thoughts, comments and insights on using your app will be extremely valuable. Social media such as Twitter, Facebook or even LinkedIn mare great for this purpose. 

Additionally, building a community around your project before it's even launched will make it easier to market and limit the migration of users to other applications.

Speed of project development

The DeFi market is developing extremely dynamically, so the goal of every project is to deliver a new solution in the shortest possible time. Significant delays may lead to the fact that the competition will overtake us. 

In our experience, the optimal duration of a project is 3-5 months. It is extremely important to divide it wisely between three basic stages: planning, development and testing.

DeFi application

A team of experienced programmers

The implementation of a DeFi app project requires a wide range of skills related to the use of the sublime technology that is Blockchain. That is why an experienced and proven team of developers is your key to success. Be sure to read the article on how to choose the right software house.

Make sure that the competence of the people you want to entrust your project to is impeccable, especially in the following areas:

  • Creation and development of smart contracts
  • DAO
  • UI i UX
  • Project testing

Thorough analysis of business logic

Even a brilliant idea based on the best technology stack can fail if the business analysis done at the start is inaccurate. Remember, your application will not succeed if it does not meet the following conditions: 

  • represents a new and interesting solution in the decentralised financial market
  • it is more profitable than other DeFi applications

Make sure that your analysis takes them into account and accurately describes the plan for their implementation. From the technological side, the implementation of these assumptions should be described in detail in the SRS - software requirements specification, which will be presented to you by the outsourcing service provider.

In Nextrope you can count not only on the highest quality programming services, but also on business and technology consulting based on the experience gained during the implementation of dozens of projects. So by developing DeFi app with us you can be sure that its development will look exactly as you need it to. 

DeFi application = the need for integration

Today, DeFi apps are unable to operate in isolation from each other. The world of DeFi apps is becoming a gigantic, branching ecosystem where projects either compete with each other or are connected to each other. This is due to the needs of the users themselves, who expect to be able to sync and move seamlessly between apps, and after all, it is for them that you optimize your project. 

Integration is a complex issue, so it is crucial to allocate sufficient resources and time at the planning stage. Typically, the integration process starts with working with market giants such as Compound, Aave or Curve.fi. These protocols have diverse interfaces and functions, so the developers you hire should have extensive experience not only in creating code, but also in reading it. 

DeFi application

Refined UX 

Your app may even move mountains, but if it is difficult and unintuitive to use, its user base will remain extremely narrow anyway. A well-thought-out and well-designed UX is the basis of modern financial applications.

We understand this very well at Nextrope, which is why in our team, next to Back End specialists, there are Front End programmers and experienced UX designers. 

Building the DeFi application - summary

Creating a DeFi app requires in-depth knowledge not only of technology, but also of finance and business analysis.

So why not support yourself with a proven outsourcing provider who has experience in similar assignments? After all, despite the best planning, unforeseen obstacles may appear during the implementation. This is when the support of a software house, which is well acquainted with similar cases, will prove particularly helpful. 

At Nextrope we have worked on a wide variety of DeFi applications and are very familiar with the specifications of such projects and the various problems that arise during their implementation. If you want a solution that will surprise the market, contact our team.

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!

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
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