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CauseAndEffect

🎯 CauseAndEffect: Monitor, Analyze, and Optimize Your Screen Activity

🚀 Overview

CauseAndEffect is an advanced system designed to continuously monitor your screen activity and track various metrics in real-time. Timestamp specific events ("causes") and observe how these events influence your metrics ("effects"). Gain deep insights into how specific actions impact your productivity, workflow, and other critical metrics.

Key Features:

  • Cause-Effect Tracking: Timestamp events and monitor their influence on your screen activity metrics.
  • Real-Time Analytics: Gain insights into productivity and workflow patterns.
  • Automated Documentation: Generate automatic summaries and documentation based on screen activity.
  • Customizable Metrics: Tailor the tracked metrics to fit your specific needs.
  • Seamless Integrations: Integrate with various tools and platforms for enhanced functionality.

💡 Why CauseAndEffect?

Understanding how specific actions impact your workflow or productivity can be challenging. CauseAndEffect simplifies this by providing an intuitive interface to timestamp events and track their effects over time. Whether optimizing work patterns, automating tasks, or gaining insights into screen activity, CauseAndEffect equips you with the tools you need.

🛠️ Installation

💻 Desktop App (macOS, Windows, Linux):

  1. Download the latest version of CauseAndEffect from the releases page.
  2. Follow the installation instructions.
  3. Launch the app and start monitoring your screen activity immediately.

🖥️ CLI Installation (For Advanced Users):

  1. Clone the repository:
    git clone https://github.com/your-username/causeandeffect.git
  2. Navigate to the project directory:
    cd causeandeffect
  3. Install dependencies:
    # Example for Rust
    cargo build --release
  4. Run the CLI with custom settings:
    ./causeandeffect --data-dir <your-data-directory>

⚙️ Usage

📌 Example 1: Creating a Cause Timestamp

causeandeffect timestamp --cause "Started working on project X"

📊 Example 2: Monitoring the Effect of a Cause

causeandeffect monitor --effect "Project X" --duration 1h

📈 Example 3: Generating a Summary

// Fetch data within a time range
const startDate = "<time of cause>"
const endDate = "<current time>"

// Analyze the impact on metrics
const impactAnalysis = fetchMetrics(startDate, endDate)

// Summarize the results
const summary = generateSummary(impactAnalysis)

🎯 Use Cases

  • Productivity Tracking: See how specific actions affect productivity over time.
  • Workflow Optimization: Identify bottlenecks in your workflow by monitoring task impacts.
  • Automated Reporting: Automatically generate reports or summaries based on screen activity and timestamps.
  • Personalized Metrics: Track custom metrics important to your work or study habits.

🔌 Integrations

CauseAndEffect supports integrations with:

  • Notion: Automatically add summaries or reports to your Notion workspace.
  • Ollama/OpenAI: Generate AI-driven summaries or insights based on activity.
  • Obsidian: Sync timestamps and summaries with your Obsidian notes.

🤝 Contributing

We welcome contributions! Check out our CONTRIBUTING.md for guidelines. Whether adding features, fixing bugs, or enhancing documentation, your input is valuable.

❓ FAQ

  • How does CauseAndEffect differ from other productivity tools?
    • It’s unique in its ability to timestamp events and track their direct impact on user-defined metrics.
  • Where is my data stored?
    • Data is stored locally by default, ensuring privacy and control. You can customize the storage location.
  • Can I customize the metrics I track?
    • Absolutely! CauseAndEffect lets you define and monitor custom metrics based on your specific requirements.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

About

CauseAndEffect is a powerful tool designed to help you monitor, analyze, and optimize your screen activity. By allowing you to timestamp specific events (“causes”) and track how these events impact various metrics (“effects”) in real-time, CauseAndEffect offers deep insights into your productivity, workflow, and other critical areas.

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  • Rust 97.9%
  • Swift 1.2%
  • Ruby 0.9%