How to Build a Strong Community Around Tokenized Assets

Karolina

10 Jul 2023
How to Build a Strong Community Around Tokenized Assets

For any project to succeed, including tokenized assets, it is crucial to establish a solid community. Amidst the advancing realms of blockchain, artificial intelligence, and cryptocurrencies, tokenization has surfaced as an influential means to digitally embody real-world assets. Tokenized assets provide numerous perks like improved liquidity, fractional ownership, and better transferability.

The Significance of Community in Tokenized Asset Success

The importance of community

A tokenized asset's success greatly depends on the vigor and involvement of its community. A dynamic community acts as the main driving element for adoption, liquidity, and overall appreciation of the asset's value. Here are some reasons why community plays a crucial role in the realm of tokenized assets:

The importance of Community
  • Network Effect: An expanding community attracts a greater number of participants, generating a network effect that enhances the asset's visibility and liquidity. As the community increases in size, the asset gains traction and piques the interest of potential investors and users.
  • Trustworthiness and Credibility: A robust community establishes trust and credibility for a tokenized asset. When prospective investors observe an engaged, supportive community, they perceive the asset as legitimate and dependable, resulting in increased investment and adoption.
  • Constructive Feedback: Members of the community deliver valuable feedback, insights, and suggestions regarding enhancements to tokenized assets. They can propose new features, pinpoint possible issues, and contribute to the overall development and progression of the asset.
  • Advocacy and Publicity: An enthusiastic, proactive community serves as a champion for tokenized assets. Community members often become brand promoters who raise awareness and market the asset throughout their networks. Their eagerness to share recommendations through word-of-mouth can greatly impact the growth of assets.

Community-driven projects vs centralized projects

Tokenized assets can emerge from either community-driven or centralized projects. Grasping the distinction between these two types is vital to understanding how communities influence the success of tokenized assets.

Community-driven projects require active involvement from members in decision-making processes. Such projects are generally decentralized and dependent on consensus-based governance models, wherein token holders possess voting rights that exert influence over project decisions. In these settings, communities play an essential part in determining an asset's course and promoting its expansion.

In contrast, centralized projects follow a top-down strategy, with decision-making processes controlled by central authorities or teams. Although these projects can still involve a community, their role in governance and decision-making is usually restricted. Nevertheless, a vibrant and engaged community can still contribute valuable feedback and support to centralized projects, which enhances the chance of success for the asset.

Tactics for Developing a Robust Community Around Tokenized Asset

Tactics for Developing a Robust Community Around Tokenized Asset

Establishing a Comprehensive Vision and Mission

Initiating community-building entails forming an unequivocal vision and mission for your tokenized asset. This covers its reason for existence, value offering, and long-range objectives. By effectively conveying the positives and potential of the asset, you will draw in those who share your project's aims. 

Appealing Content and Communication

Producing and disseminating appealing content is crucial to attracting and retaining community members. Maintain a prominent online presence through a devoted blog and proactive social media channels. 

Token Utility incentives

Ensuring meaningful utility for your token is crucial for increasing community involvement. Design tokenomics that correspond with the asset's purpose while incentivizing active participation from community members. 

Community Events and Undertakings

Coordinating community events and tasks cultivates a sense of inclusion and stimulates interaction among members. Launch opportunities for networking, knowledge exchange, and cooperation. 

Open and Agile Communication

Openness and agile communication are crucial for trust-building and sustaining a robust community. Keep the community well-informed about project advancements, milestones, and potential obstacles. 

Influencers and Partnerships

To substantially expand the reach and influence of your tokenized asset community, it is crucial to collaborate with influencers and forge strategic partnerships. Gaining support from influencers and reputed companies in the blockchain and cryptocurrency realms can boost awareness, establish credibility, and draw a broader audience. Take into account these methods:

Teaming up with influencers and thought leaders

Engaging industry-respected influencers and thought leaders can facilitate promotion of your tokenized asset, as they possess credibility and hold considerable influence over their followers.

Developing strategic partnerships

Mutual benefits and growth can result from strategic partnerships with well-established blockchain projects, businesses, or organizations. Such collaborations can boost your tokenized asset's credibility, enable access to new markets, and generate integration opportunities. Reflect on these strategies:

  1. Pursue partnerships with prominent blockchain projects or companies: Identify projects or firms that compliment your tokenized asset's offering or cater to a similar target group. Look into partnership possibilities that involve cross-promotion, combined marketing endeavors, or service integration.
  2. Work together on joint initiatives or integration options: In collaboration with partner organizations, embark on joint ventures such as co-hosted events, cooperative research projects, or the development of compatible solutions. Integrating services or products can generate added value for both communities.

Regulating Community Interaction and Providing Support

Efficient community moderation and responsive support are essential in maintaining an engaged and healthy community surrounding your tokenized asset. Ensuring that discussions remain focused, polite, and in line with the project's objectives is the goal of community moderation. Support systems play a vital role in promptly addressing community questions, technical concerns, and other issues. Keep these strategies in mind:

Implementing community moderation guidelines

Implementing community moderation guidelines

Setting clear community moderation guidelines fosters effective communication and acceptable behavior within your community. By establishing and upholding these guidelines, an inclusive and amiable atmosphere is created. 

Providing prompt support

Swift and proficient support is crucial in retaining community satisfaction and trust. Establish means for community members to request assistance and guarantee that their inquiries and concerns receive prompt attention. 

Enhancing and Maintaining the Community

The initial stage of constructing a solid community is crucial, but equally vital for your tokenized asset's lasting success is the ability to scale and maintain that community. As your project expands, establish approaches that not only facilitate community growth but also promote continuous engagement. Consider employing these tactics:

Strategies for growing the community

In order to broaden your community, adopt strategies that motivate current members to invite new ones and attract additional participants. This contributes to a broader network effect and increased community diversity. 

Adapting community governance

As your community expands, think about progressively decentralizing decision-making processes to empower members and guarantee the project's long-term viability. Including the community in governance fosters trust and creates a sense of ownership. 

Conclusion

Developing a robust community centered on your tokenized asset is crucial for ensuring its prosperity and enduring stability. By engaging influencers, forging strategic collaborations, and enforcing effective community moderation, you can appeal to and incorporate a lively community. In addition, scaling the community and including its members in decisions guarantees the project's growth and evolution align with their interests.

Be sure to articulate your tokenized asset's vision and mission, offer valuable token utility, and encourage transparent and active communication with the community. By implementing these techniques and adjusting to the changing requirements of your community, you establish a solid basis for your tokenized asset while fostering a thriving ecosystem that benefits all involved parties.

As the fields of blockchain, AI, and cryptocurrency continue to develop, projects driven by communities possess enormous potential to influence the future of tokenized assets. By cultivating a resilient community, your project is well-positioned for growth, innovation, and widespread adoption in this dynamic and revolutionary industry.

Nextrope Tokenization Launchpad Platform

Nextrope Launchpad Platform is a White Label solution in a Software-as-a-Service model that helps you launch your project within a month and fundraise with Initial Coin Offering (ICO) or Security Token Offering (STO).

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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?

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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