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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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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
Nextrope Logo

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

Tagi

AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!

Tagi