Build an Enterprise SaaS Service with Django. Learn how to isolate customer data by implementing multi-tenancy, subdomain-based auth, and more.

Learn how to deploy a Node.js with Express.js App to AWS Lambda and Serverless DB with Neon Postgres

Astro + Lucia Auth + Neon Serverless Postgres with Prisma + shadcn/ui

The personal website and blog of Matthew Kwong

Full-Stack ASP.NET Core and Next.js to create AI-Generated Short Videos with Captions using only free resources

Google Calendar clone using Next.js, React, Day.js, Neon Postgres, and Drizzle ORM

Official awesome-list of Neon Postgres Database Starters & Resources ⚡️

An anonymous platform to express yourself

A modern Q&A platform built with Next.js, featuring role-based access control (RBAC) using Clerk. This full-stack app demonstrates enterprise-level authentication, authorization patterns, and responsive UI design.

dossi web app & API: Your own private GitHub notes on every page

Password Manager built with Next.js and shadcn/ui

Learn how to integrate Django with Next.js. Coming Soon.

This Next.js application generates videos based on client-provided queries. It is designed as a SaaS platform, allowing users to easily create engaging video content for various purposes such as marketing, education, or social media. The app leverages cutting-edge technologies to provide a smooth user experience and high-quality video output

Full Stack with React and Semantic Kernel showcasing Email Draft & Send Capabilties with Embeddings Vector Store in NEON

Clean and typesafe starter monorepo using Turborepo along with Next.js and tRPC

Neon Postgres Branch for each Amplify Hosting app branch

Monorepo for SG Cars Trends backend services

A modern full-stack real-time chat application built with React, TypeScript, Node.js, and WebSocket technology.

SuperSonic is an AI-powered arbitrage and analytics platform designed to optimize trading strategies in the Web3 ecosystem. It features an AI chat agent for real-time market insights, personalized trending tokens suggestions based on social media interactions, and Twitter sentiment analysis to enhance predictive accuracy.