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Brutalist landing page

The DataDrop Dashboard is a web application designed for email-powered data collection and visualization. It allows users to monitor and manage data processed from various email sources, providing insights into metrics such as email volume, data points, and processing status.

To use the app, users can navigate through a sidebar menu to access different sections, including the dashboard, data sources, and email logs. The dashboard displays key metrics in card format, showcasing the number of emails processed, data points collected, and recent updates. Users can also view detailed tables of recent data entries and email processing logs, which include information about the source, status, and records processed.

The application is built using TypeScript and React, leveraging various UI components for a responsive and user-friendly interface. Key technologies include Lucide icons for visual representation, and a grid layout for organizing content effectively. The app also utilizes a card-based design for displaying metrics and logs, enhancing readability and accessibility.

Key features of the DataDrop Dashboard include:
- Metrics Cards: Displaying key performance indicators such as emails processed, data points, and last update times.
- Recent Data Table: A detailed view of the latest data entries processed from email submissions, including status and record counts.
- Email Logs: A real-time log of email processing activities, showing the status of each email and any associated attachments.
- Data Sources Management: Users can manage email-based data collection sources, including adding new sources and monitoring their status.
- Visualizations: Charts and progress indicators to represent email volume trends and sensor readings, providing a quick overview of performance metrics.

Overall, the DataDrop Dashboard serves as a comprehensive tool for managing and visualizing data collected through email, making it easier for users to track performance and troubleshoot issues.

Data visualization dashboard

The app is a browser-based game titled "Microbio Survival - Enhanced Edition," where players control a cell defending against various pathogens. The objective is to survive as long as possible while defeating enemies and collecting power-ups. Players can move their cell using the WASD keys or arrow keys, and the game features an auto-attack mechanism that targets nearby enemies.

To use the app, players start by clicking the "PLAY GAME" button on the start screen. The game interface includes health, level, experience points, and score displays. Players can collect green orbs for experience and power-ups that enhance their abilities, such as increased fire rate, temporary invincibility, and damage boosts. The game also features a combo system that rewards players for consecutive kills, increasing their score multiplier.

The app is built using JavaScript and HTML5, utilizing the Canvas API for rendering graphics. It employs object-oriented programming principles, with classes for various game entities, including the player, enemies, projectiles, power-ups, and bosses. The game includes an audio manager for sound effects and a virtual joystick for mobile users.

Key features of the app include:
- An infinite world where players can move freely without bounds.
- A variety of enemies, including bacteria and viruses, each with unique behaviors and health.
- Boss battles that occur at specific levels, introducing more challenging gameplay.
- A combo system that tracks player performance and rewards them with score multipliers.
- Power-ups that spawn periodically, providing temporary enhancements to the player's abilities.
- A health and experience system that allows players to level up and improve their character's stats.

Overall, "Microbio Survival - Enhanced Edition" offers an engaging and dynamic gaming experience, combining action, strategy, and skill as players navigate through waves of enemies and bosses.

Microscopic survival game

Gaming Dashboard

Gaming Dashboard

A Next.js app with Neon storage.

Dynamic Table with filer and group by

The app is called Quantum Fury, a multiplayer combat game designed to provide an immersive gaming experience. It allows players to engage in intense battles, master unique abilities, and compete in a dynamic arena environment. The app features a visually appealing interface with a dark theme and neon accents, enhancing the overall gaming atmosphere.

To use the app, users can navigate through various sections including gameplay, features, community, and support via a sticky header. The main page showcases a hero section with a captivating background image and a call-to-action to play the game or join the battle. Users can also watch a gameplay video preview embedded within the app, providing insights into the game's mechanics and style.

The app is built using modern web technologies, specifically Next.js for server-side rendering and React for building user interfaces. It utilizes components from a UI library for buttons and cards, and integrates icons from the Lucide React library for visual elements.

Key features of Quantum Fury include live game statistics such as the number of players online, matches played, total kills, and active regions, all displayed in visually appealing cards. Additionally, there is a global leaderboard showcasing the top players, allowing users to track their rankings and performance. The app also emphasizes community engagement, offering links to a Discord server for player interaction and a YouTube channel for game-related content.

Overall, Quantum Fury aims to create a vibrant community around its gameplay, encouraging players to connect, compete, and share their experiences.

This application is a web-based platform designed to connect local farmers and vendors with consumers, facilitating the purchase of fresh, locally sourced produce and artisanal goods. The app provides a user-friendly interface for browsing products, managing shopping carts, and processing orders, while also offering features for user registration, login, and loyalty rewards.

Users can navigate through various sections of the app, including a homepage that highlights featured products, an about section detailing the platform's mission, and a contact form for inquiries. The product catalog allows users to view detailed information about each item, including images, descriptions, prices, and vendor details. Users can add products to their cart, adjust quantities, and proceed to checkout, where they can enter shipping and payment information.

Key features of the app include:

1. **Product Browsing**: Users can explore a wide range of products categorized by type, with detailed descriptions and images for each item.

2. **Shopping Cart Management**: Users can add items to their cart, modify quantities, and view a summary of their selected products, including subtotal and shipping costs.

3. **User Authentication**: The app supports user registration and login, allowing users to create accounts, manage their profiles, and view their order history.

4. **Loyalty Rewards Program**: Users can earn points for purchases, which can be redeemed for discounts and exclusive offers. The app tracks user points and tier status within the loyalty program.

5. **Contact and Newsletter Subscription**: Users can submit inquiries through a contact form and subscribe to a newsletter for updates on products and events.

6. **Responsive Design**: The app is built with a responsive layout, ensuring a seamless experience across various devices.

The application is developed using modern web technologies, including TypeScript and React for the frontend, with a focus on component-based architecture. It utilizes Tailwind CSS for styling, providing a clean and responsive design. The app also incorporates hooks for state management and context for managing the shopping cart, enhancing the user experience.

Overall, this application serves as a comprehensive platform for promoting local agriculture and fostering community engagement through the sale of fresh produce and artisanal products.

A sidebar with a collapsible file tree.

File Tree Sidebar

The Starry Night app is an interactive web experience that simulates a starry sky with a parallax effect, enhancing the visual depth as users scroll through the page. The app generates a dynamic background of stars that twinkle and move at different speeds, creating an immersive atmosphere reminiscent of a night sky.

To use the app, users simply need to scroll down the page. As they do so, they will observe the stars in the background shifting at varying rates, which is designed to mimic the natural movement of celestial bodies. The app features multiple content sections that provide information and context about the starry experience, encouraging users to engage with the scrolling effect.

The app is built using TypeScript and React, leveraging the Framer Motion library for animations and transitions. It utilizes hooks such as useEffect and useState to manage the star generation and state, while useRef is employed to reference the container for the stars. The app also incorporates scroll-based transformations to create the parallax effect, with different layers of stars moving at distinct speeds based on the user's scroll position.

Key features of the Starry Night app include:
- A visually appealing dark gradient background that enhances the starry effect.
- A total of 80 stars that are randomly generated with varying sizes, positions, and twinkle delays.
- Smooth animations for the stars, including twinkling effects and scaling, achieved through Framer Motion.
- Multiple content sections that provide context and enhance user engagement with the scrolling experience.
- A responsive design that adapts to different screen sizes, ensuring a consistent experience across devices.

Overall, the Starry Night app combines engaging visuals with interactive elements to create a captivating user experience.

Carousel Components

Animated Carousel

This app is an Invoice Generator designed to help users create and manage invoices efficiently. It allows users to input contractor details, invoice specifics, and line items, and then generate a professional invoice in PDF format.

Invoice Generator

The Juancho IA app is an educational assistant designed specifically for students at the IED Juan Acosta Solera in Colombia. It leverages artificial intelligence to provide personalized support in various subjects, including mathematics, science, language, and social studies. The app aims to enhance the learning experience by offering explanations, answering questions, and assisting with homework.

To use the app, users can create an account by registering with their email, name, password, and grade level. Once registered, they can log in to access the chat interface where they can interact with Juancho, the AI assistant. Users can ask questions, seek help with assignments, and receive tailored responses based on their educational needs. The app also features a chat history, allowing users to revisit previous conversations.

The app is built using modern web technologies, including TypeScript and React for the frontend, and integrates with a backend powered by a serverless database. It utilizes the AI SDK for natural language processing, enabling Juancho to understand and respond to user queries effectively. The app also incorporates a responsive design, ensuring usability across various devices.

Key features of the Juancho IA app include:
- An interactive chat interface for real-time communication with the AI assistant.
- Auto-resizing text areas for input, enhancing user experience.
- User authentication and session management to maintain personalized interactions.
- A database for storing user data, chat sessions, and messages.
- Administrative functionalities for managing announcements, user support tickets, and design settings.
- A focus on educational content tailored to the Colombian curriculum, with a friendly and approachable tone.

Overall, the Juancho IA app serves as a valuable resource for students, providing them with the tools they need to succeed academically while fostering a supportive learning environment.

Tag input component built with shadcn/ui (Popover + Command components)

Tag Input - shadcn

Paths moving in the background.

Background Paths

This application is a versatile image management tool designed for users to upload, manipulate, and display images in various formats. It features three main components: an Image Canvas, an Auto Carousel, and an Infinite Slideshow, each providing unique functionalities for image interaction and presentation.

The Image Canvas allows users to upload multiple images, which can then be positioned and zoomed in/out using mouse controls. Users can drag images to reposition them on the canvas and double-click to zoom in on specific images. The canvas supports scrolling effects to enhance visibility and user engagement.

The Auto Carousel presents images in a horizontally scrolling format, allowing users to upload new images dynamically. It utilizes a carousel library to create a smooth, animated experience, displaying images in rows that can be scrolled through effortlessly.

The Infinite Slideshow offers a continuous scrolling experience for images, where users can add images to different rows. This component duplicates the images for a seamless looping effect, ensuring that the slideshow appears infinite.

To use the app, users can click on designated buttons to upload images from their devices. The app is built using React and TypeScript, leveraging Next.js for server-side rendering and routing. It employs various libraries, including Lucide for icons and Embla Carousel for the carousel functionality. The user interface is styled using Tailwind CSS, ensuring a responsive and modern design.

Key features of the app include:
- Image upload functionality with drag-and-drop support.
- Zoom and pan capabilities on the Image Canvas.
- Dynamic image addition to the Auto Carousel and Infinite Slideshow.
- Smooth animations and transitions for an engaging user experience.
- Responsive design that adapts to different screen sizes.

Overall, this application serves as a comprehensive solution for users looking to manage and display images interactively and aesthetically.

A responsive React component for displaying tiered pricing information with a modern dark theme. It offers animated cards, benefit comparisons, and customizable CTAs for an engaging user experience.

Dark Pricing Cards

SVGAnimation

Shopify Product Page Design

Shopify Product Page Design

Fluid Dropdown

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Metaware Logo Particles

This application is a terminal emulator designed to provide a user-friendly interface for executing commands and managing files, inspired by modern terminal experiences. It allows users to input commands, view outputs, and navigate through a file system, all within a visually appealing environment.

To use the app, users can type commands into the command input field, which supports command history navigation and basic autocomplete functionality. The terminal displays the results of executed commands, including success, error, and warning statuses. Users can also access a file browser to navigate through their project files and folders, toggle between different views, and customize the terminal's theme.

The app is built using TypeScript and React, leveraging various libraries for UI components and icons, such as Lucide for icons and Tailwind CSS for styling. The application structure includes components for the terminal interface, command input, command history display, file browsing, and theme selection.

Key features of the app include:
- Command input with history navigation and autocomplete suggestions.
- Display of command outputs with status indicators (success, error, warning).
- A file browser for easy navigation of project files and folders.
- The ability to toggle between split view and single view for command output.
- A theme selector to customize the terminal's appearance with multiple themes.
- Keyboard shortcuts for quick access to various functionalities, such as toggling the file browser and changing themes.
- Command suggestions to assist users in executing common commands.

Overall, this terminal emulator aims to enhance productivity by providing a streamlined interface for command execution and file management, making it suitable for developers and users who frequently interact with command-line tools.

Terminal Interface

This app is an interactive love story experience designed for couples, specifically tailored to celebrate and reminisce about their relationship. The app guides users through a series of chapters that include memories, games, and heartfelt messages, creating a personalized journey that highlights their unique bond.

To use the app, users start by entering a password to unlock the experience. Once inside, they are greeted with an opening scene that sets the tone for the journey. The app features multiple chapters, each containing different activities such as adding memories, playing games like Tic Tac Toe and a memory matching game, and writing vows or love notes. Users can navigate through the chapters, interact with various elements, and even listen to background music that enhances the emotional experience.

The app is built using modern web technologies, including TypeScript and React for the frontend, with animations powered by Framer Motion. It utilizes local storage to save user-generated memories and comments, ensuring that the experience is both interactive and persistent. The app also incorporates audio management for sound effects and background music, enhancing the overall ambiance.

Key features of the app include:
- A welcoming opening scene with animations and sound effects.
- Multiple chapters that guide users through different activities, including memory sharing, games, and writing vows.
- Interactive games like Tic Tac Toe and a memory matching game, complete with difficulty settings.
- The ability to add, filter, and delete memories, along with a timeline of shared experiences.
- A section for users to write and save their vows, along with a comments feature for sharing love notes.
- Background music and sound effects that play throughout the experience, creating an immersive atmosphere.

Overall, this app serves as a digital keepsake for couples, allowing them to celebrate their love story in a fun and engaging way.

Romantic gift website

The app is a comprehensive AI-powered legal platform designed to assist legal professionals in various aspects of their practice. It offers features such as AI-driven legal research, contract analysis, predictive legal analysis, and document review, all aimed at streamlining workflows and enhancing decision-making.

Users can navigate the app through a user-friendly interface that includes a dashboard, where they can view key metrics, recent insights, and suggested cases. The app allows users to upload legal documents for analysis, providing insights into potential risks and recommendations for improvement. Additionally, it features a case law search function that leverages AI to find relevant precedents based on user queries.

The app is built using modern web technologies, including TypeScript and React, with animations powered by Framer Motion for a smooth user experience. It employs a responsive design to ensure usability across various devices. The backend is likely supported by a robust API to handle data processing and storage securely.

Key features of the app include:
- AI-Powered Legal Research: Quickly find relevant case law and legal precedents.
- Contract Risk Assessment: Automatically identify high-risk clauses and provide recommendations.
- Predictive Legal Analysis: Generate predictions on case outcomes based on historical data.
- Document Review: Analyze legal documents for key clauses and potential issues.
- Team Collaboration: Facilitate real-time collaboration among legal teams on research and document analysis.
- Security and Compliance: Ensure data protection with features like end-to-end encryption and compliance with regulations such as GDPR and HIPAA.

To use the app, users can sign up for an account, log in, and access various tools tailored to their legal needs. They can start a free trial to explore the features before committing to a subscription plan, which offers different tiers based on the size and needs of their practice. The app also includes a lead capture form for potential users to express interest and receive further information.

Overall, this app aims to transform the legal practice landscape by integrating advanced AI capabilities, making legal research and analysis more efficient and accessible.

KIKKO is an AI-powered parenting assistant designed to help modern parents manage the complexities of family life. The app provides a range of features that include smart reminders, a unified inbox for school communications, and personalized support, all accessible through a conversational interface.

To use KIKKO, users can join a waitlist to gain early access. Once available, they can interact with KIKKO by chatting naturally, whether it's asking about upcoming events, school schedules, or reminders for important tasks. The app captures information from various communication channels, such as emails and messaging apps, and organizes it seamlessly to ensure that nothing important slips through the cracks.

KIKKO is built using Next.js, a React framework, and utilizes technologies such as TypeScript for type safety, Tailwind CSS for styling, and Neon Database for backend data management. The app is deployed on Vercel, ensuring fast and reliable performance.

Key features of KIKKO include:
- An always-on chat assistant that understands parenting challenges.
- Proactive reminders for important events, such as school deadlines and appointments.
- Real-time translation for school communications, making it easier for parents to stay informed.
- Family-wide synchronization across all devices, ensuring that everyone is on the same page.
- A user-friendly interface that allows parents to communicate with KIKKO in a natural and intuitive way.

Overall, KIKKO aims to provide peace of mind to parents by simplifying the organization of family life and offering support when it's needed most.

Ved Indicator

Portfolio Design

Portfolio Design

recreated vercel tabs entirely with prompts

Crypto Payment Gateway

Crypto Payment Gateway

Donezo Landing

The System Monitor app is a real-time resource monitoring tool designed to provide users with insights into their system's performance. It tracks various metrics, including CPU, GPU, VRAM, network usage, and memory consumption, displaying this information in an intuitive and visually appealing manner.

To use the app, users simply need to launch it in a web environment. The app automatically generates and updates resource data every second, simulating real-time monitoring. Users can interact with the interface by hovering over different components to see detailed information, and they can expand the view to access more granular data about system memory and per-agent memory usage.

The app is built using TypeScript and React, leveraging the Framer Motion library for smooth animations and transitions. It utilizes SVG graphics for rendering sparkline charts that visualize resource usage over time. The user interface is styled with a focus on clarity and responsiveness, ensuring that users can easily interpret the data presented.

Key features of the System Monitor app include:
- Real-time tracking of system resources with automatic updates.
- Visual representation of data through sparkline charts, highlighting spikes in resource usage.
- Interactive elements that provide additional information on hover.
- A collapsible interface that allows users to expand and view detailed memory usage per agent.
- A clean and modern design that enhances user experience.

Overall, the System Monitor app serves as a valuable tool for developers and system administrators who need to keep an eye on system performance and resource allocation.

Community Crowdfunding

Community Crowdfunding

This application is a web-based email client designed to mimic the functionality and user interface of Gmail. It allows users to manage their emails efficiently, providing features such as composing, reading, and organizing emails into folders and categories.

To use the app, users can navigate through their inbox, drafts, sent items, and other folders using a sidebar. They can compose new emails, reply to existing ones, or forward messages. The app supports searching for emails by subject or sender, and users can filter their emails based on various criteria, such as starred or important messages. The interface includes a responsive design that adapts to different screen sizes, ensuring usability across devices.

The application is built using TypeScript and React, leveraging various UI components from a library called Lucide React for icons and other visual elements. It utilizes state management to handle user interactions, such as selecting emails, marking them as read or unread, and archiving or deleting messages. The app also includes a command menu for keyboard shortcuts, enhancing the user experience for power users.

Key features of the app include:
- A sidebar for easy navigation between folders and categories.
- A search bar for quickly finding emails.
- The ability to compose, reply, and forward emails.
- Email filtering options based on labels and importance.
- Support for email attachments with download functionality.
- A responsive layout that adjusts to different screen sizes.
- Keyboard shortcuts for efficient email management.

Overall, this email client provides a comprehensive solution for managing emails, combining a familiar interface with modern web technologies.

This application is designed to provide an engaging user experience through advanced page transitions and interactive visual effects. It leverages modern web technologies to create smooth, immersive transitions that enhance navigation between different sections of the site.

To use the app, users can navigate through various pages such as Home, About, Projects, and Contact using a navigation bar. Each page features unique content and utilizes 3D animations and particle effects to create a visually appealing experience. The app is built with React and utilizes Next.js for efficient routing and rendering.

Key technologies involved in the development of this application include React for building user interfaces, Next.js for server-side rendering and routing, Framer Motion for animations, and Tailwind CSS for styling. The app also incorporates a custom theme provider to manage light and dark modes, ensuring a consistent look and feel across different user preferences.

Key features of the app include:
- 3D Page Transitions: Smooth animations that create a native app-like experience when navigating between pages.
- Interactive Particle Effects: A dynamic background that responds to user mouse movements, adding depth and engagement.
- Responsive Design: The application is optimized for various screen sizes, ensuring a seamless experience on both mobile and desktop devices.
- Dark Mode Support: Users can switch between light and dark themes, enhancing usability in different lighting conditions.
- Easy Navigation: A fixed navigation bar allows users to quickly access different sections of the site.
- Detailed Project Showcase: The Projects page highlights various projects with descriptions, technologies used, and visual elements.

Overall, this application aims to redefine web navigation by combining aesthetic appeal with functional design, making it a valuable tool for developers looking to enhance user engagement on their websites.

This app is a user-friendly multi-select combobox designed for selecting and managing items from a predefined list. It allows users to choose multiple options, which are displayed as tags, and provides a clear interface for adding or removing selections.

To use the app, users can click on the combobox to open a dropdown menu where they can search for items. The selected items are displayed as tags within the combobox, and users can remove any selected item by clicking the associated remove button. Additionally, the app includes custom actions, such as managing tags or adding new items, which can be triggered from the dropdown.

The app is built using React and TypeScript, leveraging various libraries and components for enhanced functionality. Key technologies involved include Lucide for icons, and a custom UI library for components like buttons, badges, and popovers. The app also utilizes state management to handle the selection of items and the display of the dropdown.

Key features of the app include:
- Multi-select functionality with a search input for easy item discovery.
- Display of selected items as tags, with options to remove them individually.
- Custom actions that allow users to perform additional tasks related to the selected items.
- Responsive design that adapts to different screen sizes, ensuring usability across devices.
- Clear placeholder and empty messages to guide users in their selection process.

Overall, this app provides a robust solution for managing selections in a clean and intuitive manner, making it suitable for various applications where item selection is required.

Shadcn multi select combo box with fixed width and selected count

Multi Select Combobox

The app is a web-based platform called NEURALUX, designed to provide artificial intelligence (AI) solutions for businesses. It serves as a digital agency that specializes in AI strategy consulting, custom AI development, data engineering, and conversational AI. The app aims to help organizations leverage AI technologies to enhance their operations, drive innovation, and achieve growth.

Users can navigate the app through a responsive interface that includes sections for services, about the company, team members, the development process, and a contact form. The app features a hero section that highlights the company's mission and encourages users to explore services or learn more about the offerings. Each service is presented with an icon, title, and description, allowing users to understand the solutions available.

To use the app, users can scroll through the various sections, click on navigation links to jump to specific content, and fill out a contact form to get in touch with the NEURALUX team. The contact form requires users to provide their name, email, and a message, with validation to ensure all fields are filled out correctly before submission.

The app is built using modern web technologies, including TypeScript and React for the frontend, and utilizes the Framer Motion library for animations and transitions. It also incorporates Tailwind CSS for styling, providing a responsive and visually appealing design. The app features a dark mode and is optimized for both desktop and mobile devices.

Key features of the app include:
- A responsive design that adapts to different screen sizes.
- Smooth animations and transitions for an engaging user experience.
- A contact form with validation and toast notifications for user feedback.
- Sections detailing services, team members, and the development process to inform potential clients.
- Integration of social media links for easy access to NEURALUX's online presence.

Overall, NEURALUX serves as a comprehensive platform for businesses looking to integrate AI solutions into their operations, providing a user-friendly interface and valuable information about the services offered.

This app is a simple music player that allows users to upload and play audio files directly from their device. It features a user-friendly interface that includes a play/pause button and a file upload option. The app is built using TypeScript and React, leveraging modern web technologies to create a responsive and interactive experience.

To use the app, users can click the play/pause button to either start or stop playback of the selected audio file. If no file has been uploaded, clicking the button will prompt the user to select an audio file from their device. Once a file is selected, the app will load the audio and allow playback. The status of the player is indicated through a status text that updates based on whether a file is uploaded and whether the audio is currently playing.

Key features of the app include:
- File upload functionality that supports audio files.
- Play and pause controls for audio playback.
- Visual feedback through icons that change based on the player's state (upload, play, pause).
- Responsive design that adapts to different screen sizes.
- Clean and modern user interface with hover effects and transitions.

The app utilizes React's state management to handle the playback state and file selection, and it employs the HTML audio element for audio playback. The use of TypeScript ensures type safety and improved developer experience. Overall, this app provides a straightforward solution for users looking to play audio files in a web environment.

Payment Modal

Tetrahedron Physics is an interactive 3D physics simulation that showcases a wireframe tetrahedron filled with multiple bouncing balls. The application serves as a demonstration of fundamental physics concepts such as collision detection, gravity, and momentum, all presented in a minimalist visual style.

To use the app, simply load it in a web browser, and the simulation will start automatically. Users can observe the balls as they bounce and collide within the rotating tetrahedron, with the wireframe rendering allowing for a clear view of all interactions. The simulation provides an engaging way to visualize how the balls interact with each other and the tetrahedron's faces.

The app is built using several modern web technologies, including React and Next.js for the application framework, Three.js for 3D rendering, and React Three Fiber for integrating Three.js with React. Physics simulation is handled by React Three Rapier, while post-processing effects enhance the visual experience with wireframe rendering. Tailwind CSS is utilized for styling the application.

Key features of Tetrahedron Physics include wireframe rendering of 3D objects, real-time physics simulation, multiple colored balls with collision detection, a rotating tetrahedron container, post-processing outline effects, and a responsive design that adapts to different screen sizes. This combination of features makes the app not only visually appealing but also educational, providing insights into basic physics principles.

A file tree similar to the file tree in next js documentation

NextJS doc like file tree

This application is a web-based word-guessing game inspired by Wordle, where players attempt to guess a five-letter target word within six attempts. The game provides visual feedback on the player's guesses, indicating whether letters are correct, present in the word but in the wrong position, or absent altogether.

To use the app, players simply type their guesses using a virtual keyboard or their physical keyboard. Each guess is evaluated, and the game provides immediate feedback through color-coded tiles: green for correct letters in the correct position, yellow for correct letters in the wrong position, and gray for letters that are not in the word. Players can also toggle sound effects on or off, enhancing the interactive experience.

The app is built using TypeScript and React, leveraging various libraries and technologies such as Framer Motion for animations, Tailwind CSS for styling, and canvas-confetti for celebratory effects when a player wins. The game state is managed through custom hooks, which handle the logic for tracking guesses, evaluating the game status, and managing user input.

Key features of the app include:
- A grid layout for displaying guesses and their statuses.
- A virtual keyboard for input, with visual feedback for key presses.
- Sound effects for various game actions, such as key presses and game outcomes.
- Confetti animations to celebrate winning the game.
- Alerts to inform players of game status, including success and failure messages.
- A share functionality that allows players to copy their results to the clipboard or share them via the Web Share API.

Overall, this app provides an engaging and interactive way for users to enjoy a word-guessing game while incorporating modern web technologies for a smooth user experience.

A template for v0.

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POC-ef