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v0 - ctate - v0 by Vercel

Chris Tate

@ctate

@ctatedev

ctate

Activity

Showcase

237

Next.js Conf 2024

Next.js Conf 2024

Prompting Is All You Need

Prompting Is All You Need

Supabase database and authentication.

Supabase Starter

Halftone Waves

Neon Maze

Powered by Resend and Upstash

Product Launch Waitlist

3D Model Generator, Powered by Hyper3D Rodin

3D Model Generator, Powered by Hyper3D Rodin

v0 Blocks

This application is a modern web-based interface built using Next.js, a popular React framework. It serves as a community starter template that includes theme support, allowing users to switch between light, dark, and system themes seamlessly. The app is designed to provide a visually appealing and interactive user experience, leveraging advanced CSS techniques and React components.

To use the app, users can navigate through the interface, where they will find various interactive elements such as buttons and theme toggles. The theme can be switched using a dropdown menu that allows users to select their preferred mode. The app also features a set of toggle buttons for functionalities like Airplane Mode, AirDrop, Wi-Fi, and Do Not Disturb, each represented by distinct icons. Users can click these buttons to activate or deactivate the respective features, which are visually indicated by changes in background color and border styles.

The application is built using TypeScript and React, with styling managed through Tailwind CSS for utility-first design. It utilizes the Next Themes library to handle theme switching, ensuring that the user’s preferences are respected and applied consistently across the app. The LiquidGlass and LiquidButton components provide a unique visual effect, creating a glass-like appearance with animations that enhance user interaction.

Key features of the app include:
- Theme support with light, dark, and system options.
- Interactive toggle buttons for various functionalities.
- A visually appealing design with liquid glass effects and animations.
- Responsive layout that adapts to different screen sizes.
- Accessibility considerations, such as screen reader support for buttons.

Overall, this app serves as a robust starting point for developers looking to create modern web applications with a focus on user experience and aesthetic appeal.

A Next.js app with Neon storage.

We're Snow Back

We're Snow Back

First Person Starter

First Person Starter

This app is a contact form application that allows users to send messages via email. It is designed to facilitate communication between users and the application owner by collecting user input and sending it to a specified email address.

To use the app, users simply navigate to the contact page where they will find a form. The form requires users to input their email address and a message detailing their inquiry or feedback. Once the form is filled out, users can submit it by clicking the "Send Message" button. Upon submission, the app processes the input and sends an email containing the user's message to a predefined recipient address.

The app is built using TypeScript and React, leveraging the Next.js framework for server-side rendering and routing. It utilizes the Resend API for email delivery, which requires an API key and a recipient email address to be set as environment variables. The user interface is styled using Tailwind CSS, providing a modern and responsive design.

Key features of the app include:
- A user-friendly contact form that collects email addresses and messages.
- Real-time feedback through toast notifications, informing users of successful submissions or errors.
- A loading state for the submit button to enhance user experience during the email sending process.
- Integration with the Resend service for reliable email delivery.
- Responsive design that adapts to different screen sizes.

Overall, this app serves as an effective tool for managing user inquiries and enhancing communication with the audience.

Resend Contact Form

Stay focused on your Top 5 P0 tasks from Linear

p0: Minimalist Linear Task List

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.

Tetrahedron Physics

This application is a simple Todo management tool built using Next.js and Upstash Redis. It allows users to create, toggle, and delete tasks, providing a straightforward interface for managing daily activities.

To use the app, users can add new tasks by typing into an input field and clicking the add button. Each task can be marked as completed or deleted. The app features optimistic UI updates, meaning that changes are reflected immediately in the user interface while the app communicates with the server in the background. This enhances the user experience by making the app feel more responsive.

The application is built with TypeScript and utilizes React for the frontend. It employs Tailwind CSS for styling, allowing for a responsive and modern design. The app also integrates with Upstash Redis for data storage, enabling persistent task management. In demo mode, the app provides sample tasks without requiring a connection to Upstash.

Key features of the app include:
- Task creation, toggling, and deletion functionalities.
- Optimistic UI updates for a seamless user experience.
- Dark mode support through a theme provider.
- Integration with Upstash Redis for data persistence.
- A demo mode that showcases the app's functionality without requiring backend connectivity.

Overall, this Todo app serves as a practical example of modern web development practices, combining serverless architecture with a user-friendly interface.

Upstash Starter

Image to SVG

This application is a web-based platform designed to facilitate the creation and management of AI-generated applications. It allows users to create projects, manage chats, and generate applications based on user-defined prompts. The app leverages the v0 API to handle various functionalities, including chat management, project creation, and application generation.

To use the app, users need to set up their v0 API key as an environment variable. Once configured, users can create new projects, initiate chats, and submit prompts to generate applications. The interface includes dropdowns for selecting projects and chats, as well as a prompt input area for users to describe their desired application. Users can also fork existing chats and delete them as needed.

The application is built using Next.js, a React framework, and utilizes TypeScript for type safety. It employs various modern web technologies, including Tailwind CSS for styling, and integrates with the v0 SDK for API interactions. The app features a responsive design, ensuring usability across different devices.

Key features of the app include:
- Project and chat management: Users can create, view, and delete projects and chats.
- Application generation: Users can submit prompts to generate applications, which are then displayed in a preview area.
- API key validation: The app checks for a valid API key and provides user feedback if the key is missing or invalid.
- User-friendly interface: The app includes dropdown menus for easy navigation and a prompt component for inputting application descriptions.
- Error handling: The app gracefully handles errors related to API interactions and provides user feedback.

Overall, this application serves as a comprehensive tool for users looking to leverage AI technology to create applications efficiently.

v0 Platform API Demo

This application is a simple chatbot built using Next.js, the Vercel AI SDK, and Groq. It provides a user-friendly interface for interacting with an AI assistant, allowing users to send messages and receive responses in real-time.

To use the app, users can type their messages into an auto-resizing text area at the bottom of the screen. The chatbot processes the input and displays the conversation history above the input area. Users can submit their messages by pressing the "Enter" key or by clicking a submit button. If the AI is processing a response, a typing indicator will be shown to inform users that the assistant is generating a reply.

The app is built using several technologies, including TypeScript, React, and Tailwind CSS for styling. It leverages the Next.js framework for server-side rendering and routing, and it utilizes the Vercel AI SDK to handle AI interactions. The application also implements a theme provider to support light and dark modes, enhancing the user experience.

Key features of the app include:
- An auto-resizing text area for message input, which adjusts its height based on the content.
- A message list that displays the conversation history, with distinct styles for user and assistant messages.
- A typing indicator that appears while the AI is generating a response.
- Error handling that provides feedback to users in case of connection issues or if the AI service runs out of credits.
- A retry mechanism that allows users to attempt to resend messages if an error occurs.

Overall, this chatbot application serves as a foundational template for developers looking to create interactive AI-driven experiences.

This application is a simple chatbot built using the Vercel AI SDK and xAI, designed to facilitate user interaction through a conversational interface. It leverages Next.js for server-side rendering and client-side interactivity, providing a responsive and dynamic user experience.

To use the app, users can enter messages into a text area at the bottom of the chat interface. The chatbot processes these messages and responds accordingly. Users can submit their input by pressing the "Enter" key or by clicking a submit button. The chat interface displays a list of messages exchanged between the user and the chatbot, along with a typing indicator when the chatbot is processing a response.

The app is built using several technologies, including TypeScript for type safety, React for building user interfaces, and Tailwind CSS for styling. The application also utilizes the Next Themes library to support dark mode and light mode themes, enhancing user experience based on individual preferences.

Key features of the app include:
- A responsive chat interface that adjusts to user input.
- An auto-resizing text area that expands as the user types, improving usability.
- A message list that displays both user and assistant messages, with distinct styling for each.
- Error handling that provides feedback to users in case of connection issues or when the AI service runs out of credits.
- A retry mechanism that allows users to attempt to resend messages if an error occurs.

Overall, this chatbot starter app serves as a foundational template for developers looking to implement AI-driven conversational interfaces in their applications.

This application is a simple chatbot built using Next.js, the Vercel AI SDK, and DeepInfra. It provides users with an interactive interface to communicate with an AI assistant, allowing for real-time messaging and responses.

To use the app, users can enter their messages in a text area at the bottom of the screen. The text area automatically resizes based on the content entered. Upon pressing the "Enter" key, the message is sent to the AI assistant, and the response is displayed in a message list above. Users can also retry sending messages if there is an error or if the assistant fails to respond.

The app is built using TypeScript and React, leveraging the Next.js framework for server-side rendering and routing. It utilizes Tailwind CSS for styling, providing a responsive and modern user interface. The application supports dark mode through a theme provider, allowing users to switch between light and dark themes seamlessly.

Key features of the app include:
- An auto-resizing text area for message input.
- A message list that displays both user and assistant messages, with visual differentiation.
- Typing indicators to show when the assistant is processing a response.
- Error handling with retry functionality for failed messages.
- A responsive design that adapts to different screen sizes.

Overall, this chatbot application serves as a foundational template for developers looking to integrate AI capabilities into their web applications, providing a user-friendly interface and robust functionality.

Deep Infra Starter