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Work · alternatives · 2026

24 alternatives to Epstein Files Search

1.4M Epstein files — instant semantic & fuzzy search

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1OA

    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 · its alternatives →

  2. 2EF

    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 · its alternatives →

  3. 3

    Every Epstein file and image, indexed and searchable.

    Nov 2025 · its alternatives →

  4. 4

    AI search through millions of declassified Epstein documents

    Feb 2026 · epstein-gpt.com · its alternatives →

  5. 5

    See which of your LinkedIn connections appear in the Epstein files. - cfinke/EpsteOut

    Feb 2026 · github.com · its alternatives →

  6. 6

    ChatGPT connected to the Epstein Files

    Dec 2025 · epsteingpt.com · its alternatives →

  7. 7

    Fast and accurate Chat, Search with all Epstein DOJ Files

    Mar 2026 · epsteingpt.org · its alternatives →

  8. 8

    A searchable archive of Epstein disclosure documents with AI-generated summaries, transcriptions, and entity extraction.

    Feb 2026 · epsteingraph.com · its alternatives →

  9. 9

    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 · its alternatives →

  10. 10

    We’re on a journey to advance and democratize artificial intelligence through open source and open science.

    Mar 2026 · huggingface.co · its alternatives →

  11. 11II

    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 · its alternatives →

  12. 12

    End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.

    2025 · blog.wilsonl.in · its alternatives →

  13. 13

    Hi HN! I'm Jonathan and I built Hacker Search (https://hackersearch.net), a semantic search engine for Hacker News. Type a keyword or a description of what you're interested in, and you'll get top links from HN surfaced to you along with brief summaries. Unlike HN's otherwise very valuable search feature, Hacker Search doesn't require you to get your keywords exactly right. That's achieved by leveraging OpenAI's latest embedding models alongside more traditional indexes extracted from the scraped and cleaned up contents of the links. I think there are many more interesting things…

    2024 · hackersearch.net · its alternatives →

  14. 14

    One search across all your local, cloud and app files

    2021 · its alternatives →

  15. 15DF
  16. 16

    Hello HN! I became frustrated with the unpredictible/poor match quality and opaqueness of "relevance scores" in existing fuzzy and fulltext search libs, so I tried something different and this is the result. The main selling point is the result quality / ordering, with best-in-class memory overhead and excellent performance being bonuses. The API is pretty stable at this point, but looking for feedback before committing to 1.0. TL;DR The test corpus is a 4MB json file with 162k words/phrases, so give it a second for initial download. You can also drag/drop your own…

    2022 · github.com · its alternatives →

  17. 17SC
  18. 18

    Local first semantic and hybrid BM25 grep / search tool for use by AI and humans! - GitHub - BeaconBay/ck: Local first semantic and hybrid BM25 grep / search tool for use by AI and humans!

    2025 · github.com · its alternatives →

  19. 19

    Browse and Search The Epstein Files

    Mar 2026 · apps.apple.com · its alternatives →

  20. 20EF

    credit to @RhysSullivan on github for creating this

    Dec 2025 · epstein-files-browser.vercel.app · its alternatives →

  21. 21

    Live Google Trends battle — Epstein Files vs Alien Files

    Jun 2026 · its alternatives →

  22. 22SP

    Step into the future with Searchbase Cloud's AI-enhanced search capabilities. Effortless to integrate, intuitive to use, and built for insightful discoveries. Transform your data into action with the smartest search on the market. Join the revolution.

    2024 · searchbase.dev · its alternatives →

  23. 23

    Hey HN! I got nerd-sniped by Bloom Filters this weekend, specifically for searching datasets with high "cardinality" (number of unique items). They're an _amazing_ data structure that, at a fixed size, tracks potential set membership. That means unlike normal b-tree indexes, they don't grow with the number of unique items in the dataset. This makes them great for "needle in a haystack" search (logs, document) as implementations like VictoriaMetrics and Bing's BitFunnel show. I've used them in the past, but they've never been center-stage in my projects. I wanted high cardinality keyword…

    2025 · github.com · its alternatives →

  24. 24
    Rixx▲110

    The Perplexity alternative that organizes your research

    May 2026 · rixx.app · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →