Databuddy

Databuddy is a privacy-first analytics platform with a focus on user experience, with it's foundation built on privacy, it ensures complete compliance with most major data privacy laws out of the box

Digital Marketing & SEOTypeScriptAGPL-3.0

Abstract

Databuddy is an open-source Digital Marketing & SEO project. Databuddy is a privacy-first analytics platform with a focus on user experience, with it's foundation built on privacy, it ensures complete compliance with most major data privacy laws out of the box. These steps need a release with the databuddy-init image. None is published yet; check releases before starting. It is built using TypeScript. The complete source code is publicly available on GitHub under the GNU Affero General Public License v3.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

These steps need a release with the databuddy-init image. None is published yet; check releases before starting. You'll need Git and Docker Compose for this setup.

Understand how people use your product: where they come from, what they do, and where they drop off. Use that insight to decide what to build or improve next.

The template includes local URLs. Compose supplies database connections, SELFHOST, and browser settings; you don't need to repeat them in .env.

2. Objective

Databuddy is a privacy-first analytics platform with a focus on user experience, with it's foundation built on privacy, it ensures complete compliance with most major data privacy laws out of the box

This project demonstrates how TypeScript can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

TypeScript

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Node.js (LTS) and npm / yarn / pnpm
  • VS Code or any code editor
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/databuddy-analytics/Databuddy.git
cd Databuddy

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Export reports to Google Sheets or PDF
  • Schedule weekly automated reports
  • Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which marketing or SEO problem does this tool solve?
  2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
  3. Which metrics or KPIs does it report and how are they calculated?
  4. How could the output help a business make decisions?
  5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by databuddy-analytics and published on GitHub under the GNU Affero General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

Want to build this as your internship project?

Work on a Digital Marketing & SEO project like this with mentor guidance, weekly reviews and an internship certificate from Training Trains, Erode — online or offline.

Apply for Digital Marketing & SEO Internship