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This repository is a collection of deployable project templates, reference architectures, and starter applications for building serverless web applications on Vercel. It serves as a library of implementation patterns and full stack starter kits designed to bootstrap new projects and reduce initial setup time.
The main features of vercel/examples are: Vercel, Template Libraries, Reference Galleries, Full-Stack Starter Kits, Project Bootstrapping Templates, Full-Stack Web Bootstrapping, Application Cloud Deployments, Deployment Templates.
Projects with overlapping indexed features include: firebase/quickstart-js — This project is a collection of reference implementations, sample code, and starter kits for integrating Firebase… a16z-infra/ai-getting-started — This project is an artificial intelligence application starter kit and cloud deployment framework. It provides a… dhravya/cloudflare-saas-stack — This project is a full-stack serverless application stack and boilerplate designed for building software-as-a-service… t3-oss/create-t3-turbo — Clean and simple starter repo using the T3 Stack along with Expo React Native. sahat/megaboilerplate — Megaboilerplate is a JavaScript application scaffolder and project generation tool. It provides a set of starter… midudev/aprendiendo-react — This project is a learning course and instructional resource for React frontend development. It consists of a…
This project is a collection of reference implementations, sample code, and starter kits for integrating Firebase backend services into web applications using the JavaScript SDK. It serves as a practical guide for bootstrapping projects with cloud-hosted authentication, databases, and serverless logic. The repository provides specific examples for implementing real-time data synchronization, user identity management, and event-driven cloud functions. It also includes reference code for using local service emulators to test cloud functionality on a local machine before production deployment.
This project is an artificial intelligence application starter kit and cloud deployment framework. It provides a pre-configured foundation for building AI applications, featuring integrated authentication, orchestration, and vector database connectivity. The framework serves as an implementation template for retrieval augmented generation systems. It includes a pipeline to convert markdown documents into vector embeddings and store them in a database to enable question-and-answer functionality. The system covers the coordination of communication between user interfaces and backend AI service
This project is a full-stack serverless application stack and boilerplate designed for building software-as-a-service applications on the Cloudflare Workers platform. It provides a TypeScript starter that unifies the frontend and backend within a single deployment workflow, integrating essential primitives for authentication, data persistence, and storage. The stack is distinguished by its pre-configured templates for rapid project bootstrapping. It includes integrated support for the Cloudflare D1 SQL database and Cloudflare R2 buckets, providing a predefined architecture for managing relati
Clean and simple starter repo using the T3 Stack along with Expo React Native