I Indexed 2.5 Years of My ChatGPT History With a 50-Line Python Script. Here's What I Found.
📰 Dev.to · Atlas Whoff
Index your ChatGPT history with a Python script to uncover usage patterns and surprising insights
Action Steps
- Export your ChatGPT data using the official export tool
- Write a Python script to parse the exported data
- Use topic modeling to classify and categorize the conversations
- Create markdown files for each topic to visualize the results
- Analyze the surfaced patterns and insights to identify trends and areas for improvement
Who Needs to Know This
Developers and data analysts can benefit from this technique to analyze their ChatGPT usage and identify areas for improvement. This can also be useful for teams looking to optimize their AI tool usage
Key Insight
💡 The #1 use of ChatGPT isn't coding, it's self-reflection
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🤖 Indexed 2.5 years of ChatGPT history with a 50-line Python script and found surprising insights! 📊
Key Takeaways
Index your ChatGPT history with a Python script to uncover usage patterns and surprising insights
Full Article
A small Python script that parses the official ChatGPT data export into topic-classified markdown files. The index surfaces patterns you don't see when you're scrolling — including the surprising fact that the #1 use of ChatGPT isn't coding, it's self-reflection.
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