I built Deeperfind research app and my learnings from building webapps



AI Summary

Summary of Deeperine App Video

  • Introduction to Deeperine:
    • A research app that explains texts within the chat response.
    • Users can select terms (e.g., “fine structure constant”) for instant explanations.
  • Key Features:
    • Popup explanations when selecting terms in a query.
    • Maintains message history and highlights marked terms.
    • Features color-coded highlights for different explanations.
    • URL to try it: deeperfind.com.
  • Technical Overview:
    • Built with FastAPI as a single Python file.
    • Utilizes AlpineJS for state management.
    • Includes moderation features using OpenAI’s Omni moderation.
    • Implements a profanity filter and rate limiting.
  • Coding Resources:
    • Code available on Patreon for download and modification.
  • Learning Resources:
    • Offers 47 app-building ideas in the ThousandX course.
  • Usage in Development:
    • FastAPI based apps are easy and quick to update.
    • Successful app development requires a simple stack (e.g., Python, JavaScript).
  • Outcome:
    • Developer’s experience in building apps like League of Prompts and Liximix.
    • Continues to experiment with creating small web apps efficiently.