Kindmetrics

Abstract

1. Introduction

Kindmetrics is an strictly privacy focused web analytics for your website.

Thanks to being built on Crystal, Kindmetrics is very small when compiled (~10MB) and is very fast. Faster than Elixir, Rails or java. It use very little cpu and memory and could be deployed on old machines with linux as distro.

2. Objective

Kind metrics analytics for your website

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

4. Technology Stack

• Lucky framework, on Crystal language
• Tailwind css
• Stimulus.js
• Apexchart
• Litepicker
• Clickhouse
• PostgreSQL

5. System Requirements

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

• See the project README for exact requirements
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/kindmetrics/kindmetrics.git
cd kindmetrics

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 kindmetrics and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.