Socialytics

Desktop and web app for Instagram analytics in under 10 seconds. 🚀 https://preethamvishy.github.io/socialytics

Digital Marketing & SEOTypeScriptMIT

Abstract

Socialytics is an open-source Digital Marketing & SEO project. Desktop and web app for Instagram analytics in under 10 seconds. 🚀 https://preethamvishy.github.io/socialytics. Socialytics provides quick and actionable analytics based on the user's most recent posts. It is built using TypeScript. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

Socialytics provides quick and actionable analytics based on the user's most recent posts.

Socialytics is the result of its developer's experience of working with social media influencers on a regular basis. When engaging with influencers, the most recent statistics are vital to get an idea of the engagement influencers can drive. All the Instagram analytics services out in the market provide quality analysis but the statistics may be distorted by age old posts and filtering out older posts usually happens at the end of a time consuming number crunching process. Socialytics allows you to make quick decisions based on most recent engagement data.

A web and native desktop app for Instagram analytics. Blazing fast insights using Angular 8 and Electron.

2. Objective

Desktop and web app for Instagram analytics in under 10 seconds. 🚀 https://preethamvishy.github.io/socialytics

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/preethamvishy/socialytics.git
cd socialytics

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 preethamvishy 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.

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