I built a graph visualization of relationships extracted from the Epstein emails released by US congress [OC]

https://epsteinvisualizer.com/

I used AI models to extract relationships evident in the Epstein email dump and then built a visualizer to explore them. You can filter by time, person, keyword, tag, etc. Clicking on a relationship in the timeline traces it back to the source document so you can verify that it's accurate and to see the context. I'm actively improving this so please let me know if there's anything in particular you want to see!

Here is a github of the project with the database included: https://github.com/maxandrews/Epstein-doc-explorer

Data sources: Emails and other documents released by the US House Oversight committee. Thank's to u/tensonaut for extracting text versions from the image files!

Techniques:

• LLMs to extract relationships from raw text and deduplicate similar names (Claude Haiku, GPT-OSS-120B)
• Embeddings to cluster category tags into managable number of groups
• D3 force graph for the main graph visualization, with extensive parameter tuning
• Built with the help of Claude Code