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Utilizing Public Relations and Media Outreach to Boost Your Tokenization Project’s Visibility

Karolina

11 Jul 2023
Utilizing Public Relations and Media Outreach to Boost Your Tokenization Project’s Visibility

The digital economy is rapidly evolving, and tokenization has risen as an innovative technology with the capacity to transform industries and alter how we perceive and exchange value. As blockchain and cryptocurrencies gain traction, companies are examining new ways to harness tokenization for various assets and services. However, with heightened competition and a saturated marketplace, it is vital for tokenization initiatives to secure a robust presence and achieve visibility among their target demographics.

To accomplish this, public relations and media outreach are instrumental in generating awareness, cultivating trust, and establishing credibility for tokenization projects. By effectively conveying their value proposition and engaging key stakeholders, these initiatives can solidify their market position, entice investors, and foster adoption.

This article will delve into the importance of public relations and media outreach in enhancing the visibility of tokenization projects. We’ll discuss approaches that can assist project teams in navigating the competitive environment while emphasizing the advantages of effective communication in attaining their goals.

Table of Contents

The Significance of Public Relations in Tokenization Projects

In the highly competitive world of tokenization projects, the development of a robust public relations (PR) strategy is essential for attaining success and securing recognition within the industry. Public relations are instrumental in fostering trust, credibility, and awareness for tokenization projects, ultimately influencing their reputation among investors, stakeholders, and the broader public. In this section, the significance of public relations and the unique challenges faced by tokenization projects in achieving widespread acceptance and comprehension will be discussed.

Establishing Trust and Credibility

Due to the relatively new and intricate nature of blockchain technology, potential investors and stakeholders may harbor skepticism and uncertainty about tokenization projects. Through transparent communication and strategic messaging, public relations efforts can alleviate these apprehensions by cultivating trust and credibility. Public relations professionals can bolster confidence and generate a favorable view of the project through successful communication of the project's goals, value proposition, and technical elements.

Generating Awareness and Comprehension

A primary challenge faced by tokenization projects is limited awareness and understanding among the general population. Public relations endeavors have a crucial role in enlightening the target audience regarding tokenization, its advantages, and specific applications associated with the project. By creating clear and straightforward messaging, public relations professionals can demystify complex ideas and ensure that the intended audience grasps the value and potential inherent in the project.

Navigating Regulatory and Compliance Obstacles

The regulatory environment encompassing blockchain technology and cryptocurrencies is not only complicated but also prone to frequent fluctuations. Industry-focused public relations professionals can contribute to tokenization projects by remaining up-to-date on recent regulatory changes, ensuring adherence to regulations, and actively engaging with regulatory entities. Developing strong relationships with regulatory agencies and effectively conveying a project's compliance commitment can help mitigate regulatory risks through public relations efforts while also enhancing the project's credibility.

Handling Crisis Situations and Reducing Risks

During unexpected challenges or crises, public relations serve a vital function in controlling the narrative and minimizing harm to an entity's reputation. With a well-developed crisis communication strategy, tokenization projects can swiftly and effectively react to adverse events, showcasing transparency and responsibility. Public relations specialists can create strategic messages, coordinate with media channels, and address concerns to reduce the effects of crises on the project's standing.

Nurturing Industry Connections

Tokenization projects can benefit from robust relationships with media channels, journalists, influencers, and industry thought leaders. Public relations professionals support the development and maintenance of these connections by actively engaging with pertinent stakeholders, participating in industry conferences and events, and offering valuable insights and thought leadership content. The fostering of such industry relationships enables tokenization projects to capitalize on media exposure, obtain media coverage, and establish themselves as authority figures within the industry.

Tokenization Projects' Media Outreach Strategies

To increase the visibility and success of tokenization projects, the implementation of efficient media outreach strategies is crucial. Utilizing media channels, engaging with journalists, and connecting with influencers enable tokenization projects to access a broader audience, establish credibility, and create a buzz. In this section, we delve into specific media outreach approaches to optimize the project's visibility and influence.

Market Research Implementation and Target Audience Identification

  1. Recognizing the target audience: Start by performing comprehensive market research to determine the target audience's demographics, interests, and media consumption patterns. This data will direct your media outreach endeavors, making sure you reach the right individuals via suitable channels.
  2. Spotting relevant media outlets and journalists: Investigate and gather a list of media outlets, publications, blogs, and podcasts that focus on blockchain, cryptocurrencies, and related technologies. Pinpoint journalists and influencers who have expertise in these fields and have a history of reporting on tokenization projects or similar subjects.

Developing an Engaging Story and Key Messages

  1. Create a distinctive narrative: Design an enticing and unique tale surrounding your tokenization project. Emphasize the issue it intends to address, its value proposition, and its potential impact on industries or individuals. Set your project apart from competitors by accentuating its innovative nature and disruption potential.
  2. Generate key messages: Condense your project's essential aspects into brief key messages that engage your target audience. These messages should communicate the benefits, applications, and distinctiveness of your project while maintaining consistency across all communication channels.

Establishing Connections with Media Outlets and Journalists

  1. Participate in industry conferences and events: Attend pertinent industry conferences, meetups, and gatherings where you can interact with reporters, influencers, and industry professionals. Building in-person relationships can result in valuable media exposure opportunities.
  2. Offer exclusive content and interviews: Present journalists and media channels with exclusive updates, specialist interviews, and thought leadership pieces related to your project. This fosters a sense of uniqueness and entices them to showcase your project, boosting its visibility.

Using Press Releases and Thought Leadership Content

  1. Press releases: Develop well-crafted and informative press releases that announce significant project milestones, collaborations, product releases, or essential updates. Distribute these press releases via trustworthy wire services and target industry-focused media outlets.
  2. Thought leadership content: Generate stimulating content like whitepapers, research reports, blog articles, or opinion essays. Position yourself or core team members as thought leaders in the tokenization field by offering valuable insights and analyses. Share this content through your blog, guest posts on relevant publications, or social media platforms.

Exploiting Social Media and Influencers

  1. Maintain an active social media presence: Be regularly present on social media platforms popular within the blockchain and cryptocurrency communities. Share project updates, thought leadership content, and interact with followers, industry influencers, and potential investors. Utilize pertinent hashtags and participate in meaningful discussions to widen your reach.
  2. Partner with influencers: Identify influential individuals in the blockchain and cryptocurrency sector who have a substantial following and connect with your target audience. Team up with these influencers via sponsored content, interviews, or co-sponsored events. Their support and promotion of your project can greatly boost visibility and trustworthiness.

Implementing these media outreach techniques allows tokenization projects to effectively enhance their visibility, draw media attention, and spark interest among their target audience. Continuously monitoring and evaluating the impact of these strategies is essential, making adjustments as needed to optimize media outreach initiatives.

Conclusion

In the realm of tokenization projects where competition is intense, impactful media outreach is crucial to increase exposure, build reliability, and encourage adoption. By gauging the accomplishments of their media outreach endeavors and adjusting tactics using data-driven insights, tokenization projects can fine-tune their communication initiatives for maximum results. Continuous assessment of messaging, engaging suitable media platforms and influencers, and refining the overall approach will set tokenization projects on a course for achieving long-term triumph within the ever-changing blockchain and cryptocurrency environment.

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 two months 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?

Follow us to stay updated!

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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?
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
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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

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