Threaduler

Abstract

1. Introduction

Threaduler aims to solve a pain many content creators have - sharing their content while they sleep and ideally post similar content on multiple platforms. The driver for threaduler is notion, it stores the content and the meta information necessary to publish the posts. The project is currently in alpha - it works. BUT during the development of a stable future version some hickups will (most likely) happen.

Threaduler 0.1 alpha - Your open-source Social Media scheduler

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2. Objective

your notion connected open source social media scheduler

This project demonstrates how Python 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.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/maikroservice/threaduler.git
cd threaduler

1. Get a free Notion API Key at https://developers.notion.com/
2. Get a free Twitter/X API Key at https://developer.twitter.com/en
3. Clone the repository
4. install dependencies with poetry
5. Enter your API keys in .env
6. duplicate the post database template
7. use the template tweets to check out functionality such as threads, quote tweets and more.

git clone https://github.com/maikroservice/threaduler.git

cd threaduler
    poetry install

API_KEY=ENTER YOUR API KEY

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 maikroservice 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.