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Top 5 Account Abstraction Wallets

Karolina

08 Dec 2023
Top 5 Account Abstraction Wallets

Blockchain technology has continuously evolved, introducing new paradigms that enhance user experience and security. Among these innovations, Account Abstraction Wallets have gained prominence for their unique approach to managing blockchain interactions. These wallets blur the traditional lines between contract and Externally Owned Accounts (EOAs), offering a unified and simplified interface. This approach not only streamlines transactions but also opens up new possibilities for smart contract integration, enhancing both functionality and security.

In this article, we will delve into the top five Account Abstraction Wallets. Our selection criteria focus on security features, ease of use, integration capabilities, and the innovative use of smart contracts to provide a seamless user experience. Whether you are a blockchain enthusiast, a developer, or someone curious about the future of digital wallets, this guide will provide valuable insights into the cutting-edge of wallet technology.

Join us as we explore these top-tier Account Abstraction Wallets, each offering unique features that set them apart in the blockchain ecosystem.

Table of Contents

1. Argent - TOP 5 Account Abstraction Wallets

Argent stands out as a trailblazer in the domain of smart contract wallets, particularly appealing to those new to the cryptocurrency scene. This France-based company has been at the forefront of account abstraction initiatives since 2017-2018, working alongside other pioneers like Safe and Ambire. Its focus on Layer 2 solutions places it at the cutting edge of blockchain technology.

Source: Argent

Key Features

  • User-Friendly Interface for Newcomers. Argent is designed to be approachable and easy to use, making it an ideal choice for individuals who are just beginning their journey into the world of cryptocurrency.
  • Layer 2 Specialization. With its deployment on the Ethereum Mainnet and Layer 2 platforms such as zkSync and StarkNet, Argent is well-positioned to handle high-speed and cost-efficient transactions, which is integral for the future of Web3 operations.
  • Advanced Smart Account Capabilities:
    • Social Recovery System. A unique feature that allows users to recover their accounts through trusted contacts, enhancing security without compromising convenience.
    • Multi-Signature Support. Offers added security for transactions, requiring multiple approvals for added peace of mind.
    • Fee Payments in Stablecoins. Users can pay transaction fees in stablecoins, ensuring stability and predictability in transaction costs.
    • High-Speed Batch Transactions. Argent supports multicall or batch transactions, allowing users to execute multiple operations swiftly and efficiently.

Design and Accessibility

  • Aesthetically Pleasing and Secure Self-Custody. The wallet's design is not only visually appealing but also emphasizes user-friendly self-custody, ensuring users have full control over their assets.
  • Mobile-First Approach. Available on both iOS and Android, Argent prioritizes mobile users, providing a seamless experience for managing digital assets on the go.
  • Argent X for Browser Users. For those preferring browser wallets, Argent X offers a robust solution for navigating and operating on the StarkNet platform.

2. Avocado - TOP 5 Account Abstraction Wallets

Avocado, created by Instadapp, is a smart contract wallet that revolutionizes the way users interact with multiple blockchain networks. Launched in March 2023, Avocado is a relatively new entrant in the field, but it's quickly gaining attention for its innovative approach to decentralized finance (DeFi) transactions.

Source: InstaApp

Key Features

  • Multi-Network Transactions on a Single Network. Avocado uniquely allows users to perform transactions across multiple networks while remaining connected to just one, removing the hassle of switching between different blockchains.
  • Deterministic Smart Contract. Each wallet is algorithmically linked to the user's address, offering a non-custodial and secure way to manage assets. This deterministic approach ensures consistency and security in transactions.
  • Network Abstraction. Displays all balances from various networks in a single, unified interface, providing a holistic view of a user's assets.
  • Gas Abstraction with USDC. Simplifies the payment of transaction fees by using USDC as the native gas token, ensuring predictability and stability in transaction costs.
  • Account Abstraction for Enhanced Functionality. Avocado supports modularity in design, which is beneficial for various use cases, including assigning authority roles, implementing recovery mechanisms, and bolstering security.

Unique Selling Points

  • Consistent Address Across Chains. With Avocado, users maintain the same address on all chains, significantly reducing the complexity and potential errors associated with managing multiple addresses.
  • Integration with Instadapp's DeFi Platform. As a product of Instadapp, a platform that connects protocols and decentralized applications (dApps) on the Ethereum Virtual Machine (EVM), Avocado seamlessly integrates with various DeFi protocols, functioning like a blockchain aggregator.

Limitations and Future Potential

  • Current Limitation on Transaction Fees. As of now, transaction fees on Avocado are exclusively paid in USDC, which may limit some use cases. However, the underlying technology holds the potential for future expansions and more diverse options.

Accessibility

  • Decentralized Web Application. Available as a dApp, Avocado can be accessed both on desktop and mobile, catering to a wide range of users.

3. Ambire Wallet - TOP 5 Account Abstraction Wallets

Ambire Wallet, launched in late 2021, has quickly established itself as a formidable player in the realm of account abstraction wallets. Originating as a pivot from the AdEx Network, a blockchain advertising solution, this Estonia-based company combines a user-centric approach with sophisticated technology.

Source: Ambire

Key Features

  • Advanced Functionalities from the Start. Ambire Wallet was designed to include features like batch transactions, multi-signature capabilities, and the option to pay fees in stablecoins across various blockchain networks.
  • User-Friendly Interface with High-Security Levels. The wallet is tailored to be accessible for newcomers while offering the complexity and security that seasoned crypto enthusiasts demand.
  • Innovative Gas Fee-Saving Mechanisms. Ambire introduced the Gas Tank feature, which allows users to save on transaction fees and choose their preferred token for payment.

Unique Selling Points

  • First to Offer Email & Password Sign-Up. Ambire Wallet was the first self-custodial wallet to implement an email and password sign-up process, effectively blending Web3 technology with Web2 user experience best practices.
  • A Versatile Tool for All Users. The wallet's design is intuitive and informative, making it suitable for both crypto beginners and experienced traders, or 'whales'.
  • Advanced DeFi Features. Ambire Wallet includes an in-built bridge, functionalities to earn and swap, as well as a comprehensive dApp Catalog, catering to diverse needs within the DeFi ecosystem.

Compatibility and Future Plans

  • Support for Multiple EVM Chains: The wallet currently supports over 10 Ethereum Virtual Machine (EVM) chains, both Layer 1 and Layer 2, with plans to expand further.

4. Sequence - TOP 5 Account Abstraction Wallets

Sequence Wallet, launched by Horizon in late 2022, has rapidly carved a niche for itself in the Account Abstraction Wallet landscape. Initially envisioned as a FinOps solution for business-to-business (B2B) applications, Sequence has expanded its horizons to appeal to a broader consumer base.

Source: Sequence

Evolution and Key Features

  • From B2B FinOps to Broad Consumer Appeal. While it began with a focus on B2B financial operations, Sequence has adeptly incorporated a range of best practices and innovations in account abstraction, making it a versatile tool for individual consumers.
  • Seamless Web3 Experience. Echoing the goals of wallets like Ambire, Sequence is dedicated to providing an intuitive and seamless Web3 experience, backed by a sophisticated tech stack functioning across multiple blockchain networks.

Gaming-Oriented Features

  • Gaming DNA of Horizon. The wallet’s development under Horizon, known for its gaming background, is evident in the features tailored for the Web3 gaming community.
  • Ideal for Gamers. Sequence excels as a gamer-friendly wallet, offering capabilities such as swift fund transfers between games, support for game-specific tokens, and an integrated chat system, enhancing the gaming experience in the Web3 space.

Accessibility and User Interface

  • Web Application for Desktop and Mobile. Sequence is accessible as a web app, ensuring users can manage their digital assets and engage with Web3 applications conveniently on both desktop and mobile devices.

5. Safe - TOP 5 Account Abstraction Wallets

Safe, originally known as Gnosis Safe before gaining independence and rebranding in 2022, is one of the oldest and most trusted smart contract wallets in the Ethereum ecosystem. With roots in the German tech sector, Safe has established itself as a leader in secure asset management and ownership standards.

Source: Safe

Key Features and Evolution

  • Focus on Security and Superior Ownership Standards. Safe's primary objective has always been to fortify the custody protocol, ensuring the highest levels of security for its users.
  • Prominence in Collaborative Asset Management. The wallet is especially favored by Decentralized Autonomous Organizations (DAOs) and collaborative platforms, owing to its robust solutions for collective asset management.
  • Advanced Account Abstraction Features:
    • Multi-Signature Options: Offers enhanced security measures for asset management.
    • Transaction Simulations: Allows users to preview the outcomes of their transactions before finalizing them.
    • Internal App Store: Provides a platform for users to explore and interact with various Web3 applications.

Unique Selling Points

  • Largest Share of On-Chain Funds. As of the end of 2022, Safe held the largest share of on-chain funds in the crypto wallet space, a testament to its reliability and popularity.
  • Support for Multiple EVM Chains. Safe is compatible with more than 12 Ethereum Virtual Machine (EVM) chains, ensuring broad usability across the blockchain ecosystem.

User Experience

  • Complex Interface for Advanced Users: Unlike other wallets, Safe does not prioritize streamlining user experiences or simplifying onboarding. Its interface, while comprehensive, may be challenging for newcomers to the crypto world.

Accessibility

  • Mobile and Web Applications: Safe is accessible as both a mobile app for Android and iOS users and as a web application, catering to a diverse range of users.

Conclusion

In the dynamic world of blockchain technology, Account Abstraction Wallets like Argent, Avocado, Ambire, Sequence, and Safe are at the forefront, each offering distinct features to cater to various user needs. From enhancing user experience for newcomers to prioritizing security for advanced users, these wallets are integral in driving the adoption and evolution of cryptocurrency management. As the blockchain landscape continues to evolve, these innovative wallets are paving the way towards a more accessible and secure digital future.

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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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