The Role of Twitter in Web 3 Projects

Karolina

03 Jul 2023
The Role of Twitter in Web 3 Projects

Web 3's arrival has significantly transformed our interaction with technology by introducing a user-focused, decentralized approach to online experiences. Central to Web 3 projects is the demand for efficient communication and community engagement, which social media platforms have effectively addressed. Among these platforms, Twitter has become a critical component of the Web 3 environment by facilitating smooth communication, fostering community development, and promoting the adoption of cryptocurrencies and blockchain technology.

In this article, we will explore the significant role of Twitter in Web 3 projects. We will delve into the ways Twitter serves as a communication channel, fosters community building and engagement, and contributes to influencer marketing and thought leadership in the Web 3 space. Furthermore, we will examine Twitter's impact on crypto and blockchain adoption, including its role in providing news and market updates, announcing token launches and airdrops, and influencing market sentiment.

Twitter's Influence in Web 3 Projects

Twitter as a Communication Channel

Twitter serves as a powerful communication channel within Web 3 projects, facilitating real-time and decentralized information exchange. Its concise and immediate nature makes it ideal for sharing updates, announcements, and insights related to blockchain, AI, and cryptocurrencies. 

Twitter as a Communication Channel
  • Real-time Updates: Twitter's fast-paced nature allows project teams and community members to share and receive instant updates on Web 3 developments, including project milestones, partnerships, and technical advancements.
  • Decentralized Platform: Twitter's decentralized nature aligns with the principles of Web 3, where power and control are distributed. It provides a level playing field for communication, enabling anyone to participate and contribute to the discourse.
  • Fluid Information Exchange: Twitter's brevity and simplicity encourage concise discussions and the sharing of valuable resources. Threads and replies allow for in-depth conversations, fostering a dynamic and fluid exchange of ideas.

Community Building and Engagement

Twitter plays a vital role in community building and engagement for Web 3 projects, providing a platform for like-minded individuals to connect, share knowledge, and collaborate. 

Twitter in Community Building and Engagement
  • Hashtags and Mentions: Twitter's use of hashtags allows users to tag relevant keywords, making it easier to discover and engage with specific Web 3 topics. Mentions enable direct communication and networking with project teams, influencers, and thought leaders.
  • Polls, Threads, and Spaces: Twitter's features like polls enable community members to express opinions and gather feedback. Threads facilitate the organization of complex discussions, while Spaces provide an interactive audio experience for hosting live conversations and AMAs (Ask Me Anything) sessions.
  • Networking Opportunities: Twitter serves as a virtual gathering place for Web 3 enthusiasts, developers, investors, and industry professionals. Engaging in discussions and following influential voices can lead to valuable connections and collaboration opportunities.

Influencer Marketing and Thought Leadership

Twitter has become a hub for influential figures and thought leaders in the Web 3 space, shaping opinions and driving conversations around blockchain, AI, and cryptocurrencies. 

Influencer Marketing and Thought Leadership
  • Influence on Project Perception: Influencers on Twitter possess the ability to amplify the reach and visibility of Web 3 projects. Their endorsements, opinions, and insights can significantly impact project perception, attracting attention from potential users, investors, and partners.
  • Knowledge Sharing and Education: Influencers and thought leaders often share educational content, tutorials, and resources on Twitter, making it a valuable platform for learning about Web 3 technologies and their potential applications.

Twitter's influence in Web 3 projects extends beyond communication and community engagement. In the next section, we will explore its role in driving crypto and blockchain adoption, providing news and market updates, and influencing market sentiment.

Twitter's Role in Crypto and Blockchain Adoption

News and Market Updates

Twitter plays a significant role in providing real-time news and market updates within the crypto and blockchain industry. It serves as a valuable source of information for investors, enthusiasts, and project teams. 

  • Timely Information Dissemination: Twitter's fast-paced nature allows for the immediate sharing of news related to cryptocurrencies, blockchain technology, regulatory developments, and market trends. Users can follow relevant accounts and hashtags to stay informed about the latest updates.
  • Breaking News and Announcements: Twitter often becomes the go-to platform for project teams and industry leaders to make important announcements. Token listings, partnerships, product launches, and regulatory decisions are often first revealed on Twitter, providing real-time updates to the community.

Token Announcements and Airdrops

Twitter serves as a platform for token announcements and airdrops, creating opportunities for crypto projects to engage with their communities and distribute tokens. 

  • Token Launches: Many projects utilize Twitter to announce token launches, providing details about token distribution, tokenomics, and token sale events. This enables projects to reach a wide audience and generate interest in their tokens.
  • Airdrop Campaigns: Airdrops, where free tokens are distributed to community members, are often promoted and coordinated through Twitter. This approach helps projects bootstrap their communities, increase token adoption, and generate awareness.

Influencing Market Sentiment

Twitter has a significant impact on shaping market sentiment and influencing cryptocurrency prices. Tweets from influential figures can create both positive and negative effects on the market. 

  • Influencer Effect. Influential individuals, including prominent industry figures and celebrities, have the power to sway market sentiment through their tweets. Positive endorsements or negative remarks can lead to increased buying or selling activity, affecting cryptocurrency prices.
  • Market Analysis and Predictions. Twitter serves as a platform for experts and analysts to share their market analysis, price predictions, and trading strategies. These insights contribute to market sentiment and influence investor decisions.
  • Trend Identification. Twitter's trending topics and hashtags provide valuable insights into the most discussed cryptocurrencies, blockchain projects, and market trends. Monitoring these trends can help investors stay informed and identify potential investment opportunities.

Twitter's role in crypto and blockchain adoption extends beyond communication and community engagement. In the next section, we will address challenges and considerations associated with using Twitter for Web 3 projects.

Challenges and Considerations in Using Twitter for Web 3 Projects

While Twitter offers significant benefits for Web 3 projects, there are also challenges and considerations that project teams should be aware of. These factors can impact the effectiveness and sustainability of utilizing Twitter as a communication and engagement platform. 

Challenges and Considerations in Using Twitter for Web 3 Projects
Challenges and Considerations in Using Twitter for Web 3 Projects

Censorship and Centralization Concerns

  • Centralized Platform
  • Content Moderation 

Building Resilient Communities

  • Dependency Risk
  • Decentralized Alternatives

By understanding these challenges and considerations, Web 3 projects can develop strategies to overcome them. And eventually: build resilient communities that are not solely reliant on Twitter. This ensures the long-term sustainability and independence of their communication and engagement efforts.

Conclusion

In Web 3 projects, Twitter holds a crucial position. It is a potent communication medium that promotes community formation, engagement, and the adoption of cryptocurrency and blockchain technology. Through real-time updates and fostering connections between individuals with similar interests, Twitter sets the stage for industry leaders to guide discussions. Nonetheless, obstacles such as censorship and centralization issues emphasize the importance of creating strong communities for Web 3 projects and investigating decentralized options. By capitalizing on Twitter's advantages while keeping these concerns in mind, Web 3 initiatives can efficiently utilize the platform to flourish within the decentralized tech sphere. Acknowledge Twitter's significant impact on Web 3 and employ it as an instrument for growth and involvement in the ecosystem.

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).

Our platform allows you to participate in the broad financial market of digital assets. Expand your reach and find investors globally. Tokenize your project and start raising capital within a month!

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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