cfinke

cfinke / EpsteIn

Public

See which of your LinkedIn connections appear in the Epstein files.

630
42
100% credibility
Found Feb 05, 2026 at 150 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This Python script parses a user's exported LinkedIn connections CSV, searches a public API for exact name matches in Epstein court documents, and generates an HTML report with results.

How It Works

1
🔍 Discover EpsteIn

You hear about a simple tool that checks if any of your LinkedIn friends appear in the released Epstein court papers.

2
📱 Grab Your Connections List

Log into LinkedIn, request your connections download, and wait for their email with the simple list file.

3
💻 Set Up the Tool

Download the tool to your computer and prepare it quickly so it's ready to use.

4
⚡ Run the Search

Point the tool at your connections list and let it scan the public documents for matching names – it feels fast and straightforward.

5
⏳ Watch It Work

Sit back as it checks each name one by one, showing progress and any early matches.

📊 Review Your Report

Open the neat webpage report in your browser to see a summary, sorted list of matches with quotes and links to the original papers – now you know!

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Star Growth

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AI-Generated Review

What is EpsteIn?

EpsteIn is a Python CLI tool that cross-references your LinkedIn connections CSV against the publicly released Epstein files, surfacing exact name matches with hit counts, excerpts, and direct links to the epstein files pdf on justice.gov. Run `python EpsteIn.py --connections Connections.csv` to generate a sortable HTML report listing only your matches, indexed via a free epstein files search API. It solves the tedious manual hunt through the epstein library for personal network ties amid epstein news.

Why is it gaining traction?

Its 527 stars stem from the viral hook of epstein files search on your own contacts—no alternatives blend LinkedIn exports with polished, browser-ready epstein library github outputs so effortlessly. Rate limiting handles API throttling automatically, and contact cards with previews make false positives (from common names) easy to spot. Devs share it as a quick github epstein archive curiosity check.

Who should use this?

Investigative journalists sifting epstein jeffrey docs, execs scanning networks for epstein israel mentions, or researchers querying epstein files full pdf exports. Privacy pros or data nerds vetting connections post-release, especially if your LinkedIn has high-profile ties.

Verdict

Worth a spin for the epstein files pdf github angle—excellent README and HTML output despite 1.0% credibility score and modest 527 stars signaling early maturity. Expect noise from popular names; refine manually or pass if not timely.

(178 words)

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