Question Resolver

Have big, undefined goals? Here's a web application for managing nested questions, experiments, and their resolutions. I'm trying this out as an alternative to standard goal and task setting to help me deal with uncertainties better.

I wrote about why I use this approach in How do I achieve what I want. Everything's local, so your use will be completely private.

STEPS

1. Write down a big question / uncertainty.
2. That question is likely to have sub-questions. Using the '+' button, add those as well.
3. Keep nesting those questions until you feel like they are sufficiently well defined for an experiment.
4. Add those experiments in the 'To resolve' section.
5. Tick off those experiments, and update your answers as you go along!

Built with Flask.

Features

• Create and manage nested questions
• Track to-resolve items for each question
• Set time frames and track remaining time
• Add and update answers
• Modern, responsive UI with dark mode

Setup

1. Clone the repository:

git clone https://github.com/casualPhysics/thought-tree.git
cd thought-tree

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the application:

python app.py

The application will be available at http://localhost:8000/. The root URL now serves index.html directly, and other static files are served from /static/.

Technologies Used

• Backend: Flask, SQLAlchemy
• Frontend: HTML, JavaScript, TailwindCSS
• Database: SQLite

Project Structure

• app.py: Main Flask application
• static/: Frontend assets
  • app.js: Frontend JavaScript
  • styles.css: Custom styles
  • index.html: Main HTML template
• instance/: Database files (not tracked in git)
• requirements.txt: Python dependencies

Usage

1. Add a root question using the form at the top of the page
2. Click "Add Child" on any question to create a sub-question
3. Use the "Edit" button to modify questions or add time frames
4. Add items to resolve under each question
5. Add or update answers for each question
6. Check off completed items in the "To Resolve" section

Structure

The application uses:

• Flask backend with SQLAlchemy for database management
• SQLite database for data storage
• Modern frontend with Tailwind CSS
• Vanilla JavaScript for interactivity

License

MIT License