dub open source analysis
The modern link attribution platform. Loved by world-class marketing teams like Framer, Perplexity, Superhuman, Twilio, Buffer and more.
Project overview
⭐ 22859 · TypeScript · Last activity on GitHub: 2026-01-06
GitHub: https://github.com/dubinc/dub
Why it matters for engineering teams
Dub addresses the challenge of accurately attributing user interactions across multiple platforms and channels, a common need for engineering teams focused on data-driven marketing and analytics. It provides a production ready solution that integrates with modern databases like ClickHouse and MySQL, and supports frameworks such as Next.js, making it a practical choice for backend and full-stack engineers. Its open source tool for engineering teams is mature, with a strong community and proven reliability in production environments used by notable companies. However, it may not be the right choice for teams looking for a lightweight or purely client-side attribution solution, as it requires backend integration and some infrastructure setup.
When to use this project
Dub is particularly strong when teams need a robust, self hosted option for link attribution that can scale with their data needs and integrate seamlessly with modern databases and web frameworks. Teams seeking a simple, out-of-the-box third-party service without backend control might consider alternatives.
Team fit and typical use cases
Backend engineers and data engineers benefit most from Dub, using it to implement precise link attribution and data tracking within their existing infrastructure. It typically appears in products where accurate marketing attribution and user journey analysis are critical, such as SaaS platforms, e-commerce sites, and analytics dashboards.
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2026-01-06. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.