Dub.co Project Structure

Link management infrastructure for modern teams. A high-performance Next.js application using App Router, featuring deep integration with Vercel Edge and Tinybird for analytics.

Updated 2025-12-30

#dub.co #nextjs #monorepo #turborepo #tinybird #edge-computing #open-source

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Project Directory

dub/

apps/

Internal applications

web/

Main Next.js application (App Router)

app/

Next.js App Router source

lib/

App-specific utilities

ui/

App-specific UI components

packages/

Shared internal packages

ui/

Shared UI component library

prisma/

Database schema and client

tinybird/

Analytics pipes and schemas

utils/

Shared helper functions

embeds/

Link preview embed scripts

turbo.json

Turborepo pipeline config

pnpm-workspace.yaml

package.json

Root workspace file

Repository Info

Repository-dubinc/dub
Stars-18k+
License-AGPL-3.0
Last Analyzed-December 2025

Tech Stack

Framework-Next.js (App Router)
Language-TypeScript
Database-PostgreSQL with Prisma
Analytics-Tinybird (ClickHouse)
Deployment-Vercel Edge Functions
Styling-Tailwind CSS

Architecture Notes

Dub.co is built for high performance at the edge. It heavily utilizes Vercel Edge Functions for link redirection to ensure minimal latency. For analytics, instead of traditional relational database queries, it uses Tinybird (powered by ClickHouse) to process and serve millions of click events in real-time. The monorepo structure via Turborepo ensures clean separation between the main application logic and reusable packages like ui and utils.

Key Directories

apps/web/app/-The heart of the application using modern Next.js patterns
packages/tinybird/-Contains data schemas and API endpoints for analytics
packages/ui/-A beautifully crafted, reusable component library
packages/prisma/-Defines the core relational data model (Users, Projects, Links)

Why This Structure?

An absolute masterclass in modern Next.js development. It showcases how to build a scalable, production-ready SaaS with a focus on developer experience and end-user performance. Essential study for anyone interested in Edge Computing and Real-time Analytics.

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