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The Role of Telegram in Web 3 Projects

Karolina

05 Jul 2023
The Role of Telegram in Web 3 Projects

The next evolution of the internet, Web 3, has revolutionized our means of interaction, transactions, and online communication. Leading this technological advancement is Telegram, a widely used messaging platform that has rapidly gained popularity within the realms of blockchain, AI, and cryptocurrency. This article delves into the significance of Telegram's role in Web 3 projects – examining its secure and private messaging features, its potential as a communication medium for Web 3 communities, its integration with Telegram bots for Web 3 applications, its crucial role in ICOs and token sales, as well as its contribution to educating and raising awareness for the Web 3 ecosystem. Let's explore the influence of Telegram on the fascinating realm of Web 3.

Table of Contents

Secure and Private Messaging on Telegram

As a messaging platform in the Web 3 domain, where privacy and security are of utmost importance, Telegram stands out for emphasizing user data protection. With end-to-end encryption, Telegram ensures that only the intended recipients can access messages, preventing unauthorized entry or eavesdropping. This high level of security is crucial when handling sensitive data and transactions in Web 3 applications.

Secure and Private Messaging on Telegram

Telegram also provides various privacy options, such as self-destruct timers for messages that automatically delete them after a set time. This functionality is especially beneficial for sharing temporary or classified information that must be securely removed from chat history.

Telegram has built a solid reputation for preserving user privacy compared to other messaging platforms. While some platforms have been criticized for data breaches or weak security protocols, Telegram's dedication to encryption and privacy has garnered the trust of numerous Web 3 projects.

Telegram: A Communication Channel for Web 3 Communities

For any Web 3 project to succeed, effective communication is vital, and Telegram serves as an invaluable communication medium for Web 3 communities. The platform presents two key features that foster communication: group chats and channels.

Telegram: A Communication Channel for Web 3 Communities

Telegram groups enable project teams, developers, and community members to collaborate, exchange ideas, and discuss updates in real-time. These groups serve as knowledge-sharing hubs where community members can engage with leaders, ask questions, and stay up-to-date.

In contrast, Telegram channels facilitate broadcasting information to larger audiences. Project teams typically use channels to share announcements, news, and educational resources related to Web 3 technologies. Users can follow these channels and receive consistent updates, keeping them informed about the project's latest progress within the wider Web 3 landscape.

By utilizing Telegram's communication capabilities, Web 3 communities can promote a sense of belonging, stimulate collaboration, and establish direct connections between project teams and their supporters. This kind of engagement and transparency ultimately contributes to the overall growth and success of Web 3 initiatives.

Web 3 Integration with Telegram Bots

Integration of Web 3 technologies into the messaging platform is significantly influenced by Telegram bots, which add automation and functionality to enhance user experience. Within Telegram, these programmable entities are customizable to perform a variety of tasks.

In relation to Web 3 projects, real-time market data, notifications, and transaction facilitation are often provided by Telegram bots. For instance, trading bots can fetch and display cryptocurrency prices, monitor market trends, and carry out trades based on predefined parameters, thus streamlining access to crucial market information and enabling users to make efficient, informed decisions.

Moreover, integration of Telegram bots with decentralized applications (DApps) on blockchain networks is possible. This allows users to engage with DApps directly via Telegram, simplifying their experience and eliminating the need to switch between platforms. Facilitating transactions, executing smart contracts, and seamless access to DApp functionalities are just a few examples of how bots contribute to making Web 3 applications more user-friendly and accessible.

The adaptability and expandability of Telegram bots render them invaluable for integrating Web 3. By utilizing these bots, projects can improve user interfaces, offer real-time data and notifications, and enhance the overall user experience in the Telegram environment.

BEST TELEGRAM BOTS

Conducting ICOs and Token Sales on Telegram

Web 3 projects commonly use Initial Coin Offerings (ICOs) and token sales as methods for raising funds and disseminating tokens among interested investors. As a result of its extensive user base, global outreach, and supportive features, Telegram has become a favored platform for hosting such fundraising events.

Public and private group features on Telegram allow project teams to actively engage with potential investors. Within these groups, project leaders can distribute project information, whitepapers, hold Q&A sessions to address investor concerns and build trust.

Furthermore, the channel feature on Telegram lets projects share updates, announcements, and token sale details with a broader audience. This enables projects to reach more potential investors and generate increased interest in their token offerings.

It is essential, however, to recognize the challenges of using Telegram for ICOs and token sales. The decentralized nature of cryptocurrencies means that scammers and dishonest projects could exploit the platform. Before participating in any Telegram-promoted ICO or token sale, investors must exercise caution and conduct thorough research.

Despite these challenges, Telegram continues to be a popular choice for Web 3 projects seeking to raise funds and connect with the crypto community. The platform's wide-ranging features and large user base make it an efficient means for conducting ICOs and token sales, bridging the gap between projects and potential investors, and promoting growth in the Web 3 ecosystem.

The Importance of Telegram in the Education and Awareness of Web 3

For the widespread adoption and understanding of Web 3 technologies, education and awareness play crucial roles. Telegram has become a key platform for sharing knowledge, offering valuable resources, and cultivating a sense of community within the Web 3 ecosystem.

Channels on Telegram focusing on blockchain, AI, and cryptocurrencies function as educational hubs where enthusiasts and experts exchange news, insights, tutorials, and research papers. Staying informed about the latest developments, emerging trends, and advancements in Web 3 technologies is made possible through these channels.

Telegram communities also enable discussions and debates on various Web 3-related topics. Members can participate in conversations, ask questions, and request advice from knowledgeable individuals within the community. This collaborative setting not only fosters learning but also supports networking and idea exchange among individuals with diverse backgrounds and expertise.

Table: The Importance of Telegram in Web 3 Education and Awareness

The real-time messaging capabilities of Telegram make it an excellent platform for hosting webinars, AMA (Ask Me Anything) sessions, and educational events. Experts and thought leaders can engage directly with the community by sharing their knowledge and addressing queries—thus enriching the learning experience and broadening awareness within the Web 3 domain.

In summary, Telegram plays a critical role in Web 3 education and awareness. It serves as a connector between experts, enthusiasts, and newcomers—facilitating knowledge dissemination, nurturing a learning culture, and contributing to the overall growth and maturation of the Web 3 ecosystem.

Conclusion

Within the Web 3 landscape, Telegram has positioned itself as an important contender by offering features catering to blockchain, AI, and cryptocurrency projects' needs. Its private messaging capabilities ensure security while connecting with Web 3 communities via group chats and channels.

Secure messaging through Telegram safeguards sensitive information while enabling seamless communication and collaboration between project teams and community members via group chats and channels. Bots integrated into Telegram further enhance engagement with Web 3 technologies while offering real-time data, automation, and access to decentralized applications.

With its immense popularity and extensive user base, Telegram has become the preferred platform for conducting ICOs and token sales. However, users should tread cautiously to avoid fraudulent endeavors.

Telegram's role in Web 3 education and awareness is also noteworthy. Through dedicated channels, communities, and educational events, it promotes knowledge sharing, spurs discussions, and raises awareness about Web 3 technology developments.

As the Web 3 ecosystem continues to mature and develop, Telegram's relevance is expected to grow. Its secure messaging, communication capabilities, integration potential, fundraising opportunities, and educational contributions establish it as an invaluable tool for Web 3 projects and the wider community. Utilizing Telegram can help projects flourish within the decentralized and interlinked world of Web 3.

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?

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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