Alternatives
Products that do what The Simpson Matter does
Every word of the OJ Simpson trial - searchable & structured
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2022 · judyrecords.com
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Mar 2026 · huggingface.co
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Every Simpsons prediction sourced, scored, fact-checked
Mar 2026 · springfieldoracle.in
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Hi HN, I'm Roland, and for the past few weeks, I've been building AllBSides — a directory of every BSides conference talk uploaded to YouTube. As of today, 8,643 talks from 5,927 speakers across 227 chapters in 68 countries. Combined runtime is 280 days. The transcripts come to about 60 million words. The archive came together in stages: 1. Manually map every BSides chapter's YouTube channel 2. Pull every video and transcript from Supabase 3. Run each transcript through Haiku for tag extraction (tools, topics, difficulty, team, talk style, research method, and much more) 4. Run results…
May 2026 · allbsides.com
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2015 · lexika.io
- 8IB
2020 · biden-trump-speeches-search.typesense.org
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2023 · umarbutler.com
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2024 · app.airtrain.ai
- 12WOWall of Text▲90
2014 · walloftext.co
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2016 · medium.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
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2015 · scan.video
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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
- 17SA
2024 · rafalkwasny.com
- 18WIWordCount.is▲48
2012 · wordcount.is
- 19QE
2016 · github.com
- 20CF
2014 · cloujera.clojurecup.com
- 21CY
2023 · clipbase.xyz
- 22OS
2021 · levelplayingfield.io
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Take the following sentence for example, searched in google with quotation marks included: "Booster seats, car seats and seat belts are equally effective at saving the lives of children" This is a sentence that originated (as far as I know) from here: http://www.montana.edu/news/17359/msu-studies-investigate-ef.... The first page of results contains various websites that, on the surface, contain the quoted sentence but on closer inspection, contains the entire original content from montana.edu verbatim. Additionally, the first 5 results are from sciencedaily.com,…
2018
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2018 · b2b3.free.fr
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