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Products that do what Epstein vs Aliens does
Live Google Trends battle — Epstein Files vs Alien Files
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Hey all, Throwaway in case this is assumed to be politcally motivated. I spent some time organizing the Eptstein files to make transparency a little clearer. I need to tighten the data for organizations and people a bit more, but hopeful this is helpful in research in the interim.
Nov 2025 · searchepsteinfiles.com
- 2OA
Hi HN, I built an open-source AI agent that has already indexed and can search the entire Epstein files, roughly 100M words of publicly released documents. The goal was simple: make a large, messy corpus of PDFs and text files immediately searchable in a precise way, without relying on keyword search or bloated prompts. What it does: - The full dataset is already indexed - You can ask natural language questions - Answers are grounded and include direct references to source documents - Supports both exact text lookup and semantic search Discussion around these files is often fragmented. This…
Jan 2026 · epstein.trynia.ai
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Search 18 years of Hacker News and chart how any topic, tool, or person trended. Overlay terms to compare their rise and fall across 45M posts and comments.
Jun 2026 · hackernewstrends.com
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Hi everyone! My name's Luke and I made the original Jmail here alongside Riley Walz. We had a ton of friends collaborate on building out more of the app suite last night in lieue of DOJ's "Epstein files" release. Please AMA!
Dec 2025 · jmail.world
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1.4M Epstein files — instant semantic & fuzzy search
Feb 2026 · epstein.lasearch.app
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2011 · hntrends.jerodsanto.net
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AI search through millions of declassified Epstein documents
Feb 2026 · epstein-gpt.com
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Fast and accurate Chat, Search with all Epstein DOJ Files
Mar 2026 · epsteingpt.org
- 16HN
2020 · eliot-jones.com
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We’ve released a new version of the HackerNews search tool available from the bottom of this page. CHANGELOG: Backend - Rewrote the indexing process and web server - Now running on cloud infrastructure (GCP) - Improved speed of get object API endpoint - No more need for a database, so we removed it - Fixed indexing logic for story types - Fixed indexing logic for updated items Frontend - You can now filter by story type! - Removed Popularity sort-by on Comments and Jobs (Score isn’t retrievable so sort-by popular was prioritizing old comments) - Removed "all" filter type (let us know if you…
2023 · hn.aloglia.com
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The DOJ released ~3.5M pages of Epstein documents across 12 datasets. Buried in them are 207 academic papers and 14 books that nobody was really talking about. From what I understand these papers aren't usually freely accesible, but since they are public documents, now they are. I don't know, thought it was interesting to see what this dude was reading. You can check it out at jeescholar.com Pipeline: 1. Downloaded all 12 DOJ datasets + House Oversight Committee release 2. Heuristic pre-filter (abstract detection, DOI regex, citation block patterns, affiliation strings) to cut noise 3. LLM…
Feb 2026 · jeescholar.com
- 19EF
credit to @RhysSullivan on github for creating this
Dec 2025 · epstein-files-browser.vercel.app
- 20ES
This project reconstructs the Epstein email records from the recent U.S. House Oversight Committee releases using only public-domain documents (23,124 image files + 2,800 OCR text files). Most email pages contain only one real message, buried under layers of repeated headers/footers. I wanted to rebuild the conversations without all the surrounding noise. I used an OCR + vision-LLM pipeline to extract individual messages from the email screenshots, normalize senders/recipients, rebuild timestamps, detect duplicates, and map threads. The output is a structured SQLite database that…
Dec 2025 · github.com
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2019 · hnprofile.com
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A curated roundup of the best AI links from Hacker News
Dec 2025 · hackernewsai.com
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The project aims to organize computer science research in a logical, simple, and easy-to-follow way. It is designed to help us find papers worth reading first. I started building Trending Papers because following computer science research has become increasingly hard as the pace of innovation accelerates. The number of new articles on Arxiv has grown at 27% CAGR for the past 20 years. 240 new papers have been filed daily on average over the past 12 months. And the number is growing: last month, there were well over 300 new papers on average every single day. The system is based on some…
2023 · trendingpapers.com
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