Out Of The Box Systems

Project overview:

The Web-Based Trading App is a robust cryptocurrency trading platform designed for both casual and advanced traders. It provides users with tools to automate trades, analyze market trends, and interact seamlessly with real-time data and blockchain networks. Key features include condition-based order execution, advanced charting tools, liquidity monitoring, and wallet integration. The project emphasized scalability, modularity, and user-centric design to ensure optimal performance and usability.

This project focused on building a reliable and user-friendly cryptocurrency trading platform. We developed key features like conditional order execution, advanced pair charting, and market depth analysis, along with real-time condition processing and automated order execution. To improve usability, we optimized the interface for various devices and integrated wallet support for secure fund management.

We ensured scalability and stability by implementing a modular architecture and dynamic WebSocket management, allowing the platform to handle high-frequency trading. Visual tools for cryptocurrency charts and market analytics were also added, enhancing user decision-making and overall experience.

The result is:

The Web-Based Trading App delivered a complete trading experience, combining automated features, real-time data access, and modular scalability. Its advanced architecture and integration capabilities positioned the client for significant growth in the competitive cryptocurrency trading market.

The project overview:

Tauri Web Browser is a lightweight, customizable web browser built using Tauri and Rust, designed to offer modern browsing features in a desktop environment. The main goal was to develop a fully functional browser that integrates essential features, such as multi-tab support, cookie management, and theme customization, while ensuring cross-platform compatibility.

We implemented multiple features, including tab management with independent histories, cookie handling for session persistence, and a self-updating installer for automatic version updates. Additionally, we incorporated customizable themes (light/dark) and keybindings to improve the browsing experience. To ensure ease of use and long-term maintainability, we focused on creating flexible settings for browser layout and appearance, allowing users to personalize their experience. The application was designed to be scalable, enabling further enhancements in future updates.

The result is:

We successfully delivered a functional web browser built with Tauri and Rust, meeting modern browser standards. The app’s seamless cross-platform performance, comprehensive features, and robust customization options highlight its potential for further development and user adoption.

The project overview:

The goal of this project was to create an application that visualizes multiple datasets over time, allowing users to toggle visibility and adjust the time scale for better insights. The focus was on handling large volumes of data while ensuring smooth interaction with the visualization, providing an intuitive and responsive user experience.

We developed a comprehensive time series visualization tool with multiple features, such as mouse hover to display point values, a time slider for adjusting the time scale, and a toggle for series visibility. The application was optimized to handle hundreds of thousands of data points while providing real-time updates as the user interacted with the time scale. Detailed debugging information for each data point was also included to enhance data analysis capabilities.

The result is:

We successfully delivered an application capable of visualizing large time series datasets, with intuitive features that allowed users to adjust time scales, toggle data series, and view detailed point information. The tool's performance and ability to handle large datasets made it a powerful resource for data analysis.

The project overview:

We provided microservice development for a company specializing in data analytics solutions, helping businesses based on information from large-scale datasets. The client needed a custom, high-performance ETL pipeline to initialize and populate a database with data from various remote sources, focusing on performance and scalability.

We created a robust Load service that efficiently manages data retrieval, processing, and transformation. Our approach involved connecting to multiple remote endpoints using asynchronous data fetching and batching techniques, which minimized delays. We designed custom transformation logic to handle inconsistencies and various data types while integrating Rust libraries for multithreading to enhance performance. Additionally, we implemented strong error handling mechanisms to ensure the pipeline's resilience, allowing it to recover gracefully from failures while maintaining data integrity throughout the process.

The result is:

In the end, the client received a highly efficient and scalable ETL pipeline tailored to their needs. The Rust-based pipeline demonstrated significant benefits in terms of data quality and performance. Designed for scalability, the pipeline can efficiently accommodate future data growth, providing the client with a powerful tool that enhances their data analytics capabilities and supports informed decision-making.

Project overview:

The UA Rust Conference website is a modern, user-centric platform designed to provide seamless access to information and resources for the conference of the Ukrainian Rust Community. 

We successfully delivered a website that not only serves as a portal to information and resources but does so in a manner that is accessible and reliable. By improving user engagement through an aesthetically pleasing layout, responsive design, and straightforward access to conference details, thereby creating a platform that stands as a beacon of open-access information and a toolkit for the Ukrainian Rust Community.

What we did:

• UX/UI Development: Designed the user interface to enhance intuitiveness, reduce navigation errors, and improve overall user satisfaction.
• Third-Party API Integration: Integrated external APIs to enable real-time data retrieval and seamless display on the website.
• UI Component Development: Created modular and reusable UI components to support rapid updates and scalable interface improvements.
• SEO Optimization: Improved website visibility through optimization for search engines and integrated tools like Google Search Console and social media platforms.
• Adaptive and Accessible Design: Implemented responsive layouts for different devices and ensured accessibility compliance for users with disabilities.
• Performance Optimization: Enhanced website loading speed and performance to improve user retention and engagement.
• Backend Development: Developed backend services to handle efficient data processing and ensure reliable interaction between the client and server sides.
• Interactive background animation implementation. Developed a smooth, visually engaging interactive animation that reacts in real time to user input, such as cursor movement.

Project overview:

Neptune School is an educational platform. The goal of the project was to simplify and enhance the client’s operations, improve user experience, and provide clear insights into key business areas.

The project focused on making the client’s operations smoother and more user-friendly. By connecting to Meta and Upwork systems, we helped the client track how their ads were performing, manage their budget, and handle financial records more easily. For the educational platform, we created tools to improve communication with parents, make signing up for classes simple and hassle-free, and ensure students could join virtual classrooms without any technical difficulties. These changes saved time, improved the experience for parents and students, and helped the client run their business more efficiently.

What we did:

• Improved Ad Tracking with Meta APIs. Connected the client’s system to Meta Marketing and Leads APIs, allowing them to track ad performance, spending, and interactions in real-time.

• Streamlined Financial Management with Upwork API. Integrated the Upwork API to pull timesheets and transaction data into their accounting system automatically.

• Enhanced Parent-Teacher Communication. Created a feature to generate personalized student progress reports and deliver them directly to parents via WhatsApp.

• Simplified Class Enrollment. Designed a step-by-step flow for parents to register students, choose classes, and pay securely.

• Made Virtual Class Onboarding Easy. Built a guided onboarding process to help students get set up with the right devices and verify their access using QR codes.

The result is:

The platform is optimized for efficient ad monitoring, seamless financial tracking, clear parent communication, and smooth user onboarding, ensuring an improved overall experience and higher engagement rates.

Project overview:

Fizzi.io is a web-based platform designed to offer users an interactive and immersive experience for visualizing financial data. With a focus on presenting financial metrics in a 3D space, the platform allows users to analyze trends over time effectively. 

Using Three.js library with our custom extensions, we created a dynamic 3D model in the form of a helix, ideal for visualizing monthly or yearly financial data. Key achievements include optimized data rendering, robust data verification for accuracy, and audio compression to ensure fast load times across devices. This platform empowers financial analysts and general users to explore market trends interactively, combining technical precision with an impressive visual experience.

What We Did:

• 3D Visualization Development: Improved the Three.js library to generate a helix-shaped 3D model, implemented an innovative way to display periodic financial data. This also greatly increases rendering performance because of solid geometry.

• Data Parsing & Verification: Applied a system to parse and verify financial data, ensuring accuracy for web-based presentation.

• Enhanced Visual Effects: Designed animated diagram construction and layer-based rendering to create a glow effect, highlighting data for different time periods.

• Optimized loading performance: Integrated audio compression to keep the webpage appears quickly, enhancing overall usability and accessibility.

The result is:

The Fizzi.io platform successfully transformed financial data visualization by creating an interactive 3D helix diagram that brings a new visual perspective to market analysis. Key features like optimized data handling, real-time interaction, and audio compression were implemented to increase performance, making it an ideal tool for clients needing fast, accurate, and visually compelling browsing of financial data. 

Project overview:

The robot vacuum cleaner app is the hub for customizing customer robot's settings. The project focuses on enhancing the performance and functionality of an existing application used in robotic cleaning systems. The client identified key areas requiring improvement, including code efficiency, data processing, and cross-platform capabilities. 

What we did:

We began by redesigning the architecture and introducing a discipline of best practices, particularly in areas such as security, thread safety, and code idiomaticity. We eliminated a number of FFI interfaces, which were bottlenecks and sources of issues, reducing the codebase by half. By migrating critical components of the mobile app from Swift to Rust, we optimized the app's speed, stability, and feature deployment, significantly improving the performance and reliability of data processing from the robots. We also performed several critical refactorings, such as eliminating deadlocks and crashes, which greatly enhanced the system's stability and performance. Our goal was to create a reliable, scalable application that supports advanced features and helps maintain the client's competitive edge in the market.

The result is: 

We successfully launched the mobile app for both iOS and Android, significantly improving code maintainability and reducing maintenance costs. With the implemented enhancements, we achieved faster performance, increased stability, and strengthened security across the application.This resulted in a more reliable, scalable, and globally adaptable system with seamless cross-platform functionality and better user experience due to the absence of crashes.Users can now enjoy an improved experience free from crashes. Additionally, we reinforced our testing approach and expanded API integrations, adding even more flexibility and capability to the product.

The project overview:

Dust is an AI-powered platform for creating customizable assistants to automate workflows and enhance user interactions. The main goal was to enhance the reliability and maintainability of the Dust application, ensuring it operates seamlessly and supports future development.

What we did:

• Environment Setup: Configured a local environment for Dust, resolving dependency and configuration issues to enable smooth operation.

• Data Validation: Verified and aligned data schemas to ensure compatibility with the application and improve AI assistant accuracy.

• Debugging and Testing: Identified and resolved issues in AI assistant input handling, edge case failures, and response generation.

• Documentation: Created comprehensive guides and mapped user input flows to support onboarding and troubleshooting.

The result is:

We successfully delivered a stable and fully functional local environment for the Dust application, ensuring seamless initialization and reliable AI assistant operations. By validating data schemas, fixing response inconsistencies, and resolving input handling issues, we improved system accuracy and robustness.This foundation enabled the client to confidently use and showcase the Dust platform's capabilities while supporting future development needs.

Project overview 

Mithraeum is a pure on-chain grand strategy game with a strong emphasis on players' social interactions.The project aims to elevate the visual and interactive quality of a blockchain-based game by converting existing 2D scenes into dynamic 3D environments. The client wanted to enhance user engagement and experience by implementing a range of features that promote real-time interactions, improved performance, and compatibility across various devices.

Throughout the project, we focused on several key enhancements, including the integration of lightmaps for optimized rendering, the implementation of a robust object initialization and interaction system, and the development of a comprehensive name repository to facilitate asset management. Additionally, we diversified scene elements, such as fire effects, and updated APIs to modernize existing features. We also reduced 3D asset loading times through optimization techniques and increased the available RAM for WASM, which significantly improved the user experience by enabling faster transitions and reducing lag during gameplay. 

What we did:

• Creating and adapting scenes for the web
• Developed server-side rendering service
• Optimization which included: time to load scenes, FPS, size of Assets
• Automated Software Testing

The result is:

The game is optimized for web and mobile devices. The 100% of the required 3D models successfully integrated, including full functionality, animations, and interactions. Plus reduced 3D asset loading times up to 57% through optimization techniques and Increased limit of RAM available for WASM up to 4GB. 

The project overview:

This project focused on building a reliable and easy-to-use blockchain system. We developed key features like token creation, governance, and communication between different blockchains. To make the system more user-friendly, we redesigned the interface and improved how it connects with other parts of the system, making it easier to maintain and update. We also built a custom tool to keep the data secure and stable. To enhance the user experience, we created a live blockchain explorer, allowing users to see and interact with real-time blockchain data. This setup is designed to help showcase the power of the Cosmos SDK, especially in presentations and events.

What we did:

• Blockchain Module Development
• Transaction Validation & Security
• CLI Optimization & Architecture Refactoring
• Data Storage & Stability Enhancements
• Frontend Adaptation

The result is:

We successfully delivered a fully functional Cosmos-compatible blockchain testing environment with AZKR devchain, showcasing robust Rust-based modules for critical blockchain functions. By enhancing the architecture, we improved resource efficiency, streamlined transaction validation, and ensured seamless interoperability with Cosmos SDK.