Claudegram

Abstract

1. Introduction

get a local analytics dashboard that reads every signal the 2026 algorithm actually ranks on — watch-time, skip-rate, sends/shares, saves, who you really reach — then have Claude tell you exactly what to post next. Free, open-source, runs on your machine. Your data never leaves your computer.

I post?" It reads your real numbers and gives you data-grounded next-post ideas in your voice. It will never post for you — drafts only.

account metrics and never forgets the daily history it has seen (Meta only serves ~30 days at a time).

2. Objective

@elijahaifl on instagram built out the steps to have any claude environment recreate your own personalized instagram analytics dashboard

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

4. Technology Stack

5. System Requirements

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

• A modern web browser
• VS Code or any code editor
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/vvselijah/Claudegram.git
cd Claudegram

1. Clone this repo and open the folder in Claude Code.
2. Say: "set me up."
3. Claude reads CLAUDE.md, runs the connect-instagram skill, and walks you
4. Open dashboard.html. Then ask Claude "what should I post this week?"
5. Eligibility: make your IG a Business/Creator account and link it to a
6. Token: create a Business app at developers.facebook.com,
7. Set env vars (then open a new terminal):
8. Windows: setx INSTAGRAM_ACCESS_TOKEN ""

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 vvselijah 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.