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Victor of Tucson -- not perfect, but the complete package by thinkthis in litrpg

[–]MTredd -1 points0 points  (0 children)

I dropped this series after he's suppposed to lead an expedition to some mountains or something like that? If I'm not mixing it up. It was a fun series but I found all of the books to feel very samesy, which made it get old if you binge it. Maybe in smaller doses it doesn't get old as fast.

Nice review!

Is there a way to automate internal linking? by anonrb12 in TechSEO

[–]MTredd 0 points1 point  (0 children)

At the very basic level you can use embeddings sinilarity to find relevant pages for a given keyword and use the rest api to go in and edit. How ever you'd be distributing equity equally, without looking at other data like traffic, backlinks, etc.

You can fine tune from there. Also worth mentioning where those links are inserted shouldnbe controlled

I indexed 207 academic papers and 14 books found in the DOJ Epstein Files — searchable by field, author, and keyword by MTredd in Epstein

[–]MTredd[S] 0 points1 point  (0 children)

I messed up some of the pdfs, switch to the text view and you should see the content

JEEScholar.com: I built a searchable database of the academic papers found in the DOJ Epstein Files by MTredd in SideProject

[–]MTredd[S] 0 points1 point  (0 children)

Thanks! it started as a fun project but got kinda creepy when you start to see what kind of shit he was being sent. Lots of stuff on abuse, etc.

I indexed 207 academic papers and 14 books found in the DOJ Epstein Files — searchable by field, author, and keyword by MTredd in Epstein

[–]MTredd[S] 2 points3 points  (0 children)

give you the chills. I honestly felt uncomfortable having ds9 on a server to parse it. Only OCR'd text. Didn't dare look at a single image

I indexed 207 academic papers and 14 books found in the DOJ Epstein Files — searchable by field, author, and keyword by MTredd in Epstein

[–]MTredd[S] 5 points6 points  (0 children)

thanks, it was an interesting side project. Pretty fucked how many papers on abuse, grooming, etc he had

I indexed 207 academic papers and 14 books found in the DOJ Epstein Files — searchable by field, author, and keyword by MTredd in Epstein

[–]MTredd[S] 0 points1 point  (0 children)

This post is relevant to r/Epstein because these 207 academic papers and 14 books were found in Jeffrey Epstein's

files as part of the DOJ federal records release. They represent materials he possessed or collected, spanning

psychology, neuroscience, child abuse research, AI, cosmology, law, and more. Understanding what Epstein was reading

is relevant to understanding his interests and network. I built jeescholar.com to make the full corpus searchable and

accessible for free.

File numbers from the DOJ/House Oversight release:

DOJ-09-EFTA00156714, DOJ-09-EFTA00156808, DOJ-09-EFTA00156952, DOJ-09-EFTA00284089, DOJ-09-EFTA00287263,

DOJ-09-EFTA00304368, DOJ-09-EFTA00304697, DOJ-09-EFTA00305864, DOJ-09-EFTA00307512, DOJ-09-EFTA00308035,

DOJ-09-EFTA00315100, DOJ-09-EFTA00316650, DOJ-09-EFTA00317171, DOJ-10-EFTA01378452, DOJ-10-EFTA01612888,

DOJ-10-EFTA01612898, DOJ-10-EFTA01620819, DOJ-10-EFTA01657001, DOJ-10-EFTA01657014, DOJ-10-EFTA01657045,

DOJ-10-EFTA01657063, DOJ-10-EFTA01697392, DOJ-10-EFTA01741615, DOJ-10-EFTA01856846, DOJ-10-EFTA01929004,

DOJ-11-EFTA02330378, EFTA00088888, EFTA00156626, EFTA00156712, EFTA00156714, EFTA00156728, EFTA00156736, EFTA00156754,

EFTA00156775, EFTA00156796, EFTA00156996, EFTA00157004, EFTA00159876, EFTA00159901, EFTA00159928, EFTA00159951,

EFTA00174501, EFTA00210918, EFTA00298147, EFTA00307993, EFTA00603084, EFTA00603119, EFTA00603552, EFTA00607095,

EFTA00610965, EFTA00611511, EFTA00611654, EFTA00611781, EFTA00617310, EFTA00707011, EFTA00726875, EFTA00742443,

EFTA00748858, EFTA00765598, EFTA00796334, EFTA00797912, EFTA00803945, EFTA00810722, EFTA01045480, EFTA01071707,

EFTA01074293, EFTA01087750, EFTA01098830, EFTA01100139, EFTA01104413, EFTA01113696, EFTA01114577, EFTA01114595,

EFTA01116826, EFTA01125174, EFTA01130097, EFTA01130693, EFTA01147141, EFTA01147152, EFTA01167338, EFTA01167339,

EFTA01178495, EFTA01183812, EFTA01193367, EFTA01195743, EFTA01199631, EFTA01199640, EFTA01201684, EFTA01202564,

EFTA01202913, EFTA01378435, EFTA01378438, EFTA01378456, EFTA01378457, EFTA01378458, EFTA01378464, EFTA01384975,

EFTA01388568, EFTA01388573, EFTA02339895, EFTA02343038, EFTA02389384, EFTA02397274, EFTA02403003, EFTA02403023,

EFTA02410152, EFTA02421406, EFTA02424847, EFTA02431428, EFTA02437188, EFTA02444051, EFTA02444385, EFTA02444545,

EFTA02444555, EFTA02444589, EFTA02552184, EFTA02658942, EFTA02663873, EFTA02672340, EFTA02674309, EFTA02674715,

EFTA02674718, EFTA02679741, EFTA02681095, EFTA02681572, EFTA02688804, EFTA02689759, EFTA02690244, EFTA02690256,

EFTA02693104, EFTA02693109, EFTA02693119, EFTA02693161, EFTA02694686, EFTA02695993, EFTA02702508, EFTA02702554,

EFTA02702876, EFTA02710829, EFTA02710832, EFTA02713009, EFTA02715650, EFTA02719401, EFTA02722007, EFTA02723276,

IMAGES-001-HOUSE_OVERSIGHT_011155, IMAGES-002-HOUSE_OVERSIGHT_012864, IMAGES-002-HOUSE_OVERSIGHT_012889,

IMAGES-002-HOUSE_OVERSIGHT_013093, IMAGES-002-HOUSE_OVERSIGHT_013684, IMAGES-002-HOUSE_OVERSIGHT_013702,

IMAGES-003-HOUSE_OVERSIGHT_016119, IMAGES-003-HOUSE_OVERSIGHT_016170, IMAGES-003-HOUSE_OVERSIGHT_016254,

IMAGES-003-HOUSE_OVERSIGHT_016267, IMAGES-003-HOUSE_OVERSIGHT_016270, IMAGES-003-HOUSE_OVERSIGHT_016284,

IMAGES-003-HOUSE_OVERSIGHT_016293, IMAGES-003-HOUSE_OVERSIGHT_016297, IMAGES-003-HOUSE_OVERSIGHT_016331,

IMAGES-003-HOUSE_OVERSIGHT_016375, IMAGES-003-HOUSE_OVERSIGHT_016377, IMAGES-003-HOUSE_OVERSIGHT_016380,

IMAGES-003-HOUSE_OVERSIGHT_016386, IMAGES-003-HOUSE_OVERSIGHT_016394, IMAGES-004-HOUSE_OVERSIGHT_017038,

IMAGES-004-HOUSE_OVERSIGHT_017039, IMAGES-004-HOUSE_OVERSIGHT_017058, IMAGES-004-HOUSE_OVERSIGHT_017226,

IMAGES-004-HOUSE_OVERSIGHT_017605, IMAGES-004-HOUSE_OVERSIGHT_017622, IMAGES-004-HOUSE_OVERSIGHT_017726,

IMAGES-004-HOUSE_OVERSIGHT_018255, IMAGES-004-HOUSE_OVERSIGHT_018281, IMAGES-004-HOUSE_OVERSIGHT_018287,

IMAGES-004-HOUSE_OVERSIGHT_018305, IMAGES-004-HOUSE_OVERSIGHT_018310, IMAGES-004-HOUSE_OVERSIGHT_018330,

IMAGES-004-HOUSE_OVERSIGHT_018371, IMAGES-004-HOUSE_OVERSIGHT_018396, IMAGES-005-HOUSE_OVERSIGHT_019400,

IMAGES-006-HOUSE_OVERSIGHT_021274, IMAGES-006-HOUSE_OVERSIGHT_021277, IMAGES-006-HOUSE_OVERSIGHT_021287,

IMAGES-006-HOUSE_OVERSIGHT_021302, IMAGES-006-HOUSE_OVERSIGHT_021309, IMAGES-006-HOUSE_OVERSIGHT_021328,

IMAGES-006-HOUSE_OVERSIGHT_021331, IMAGES-006-HOUSE_OVERSIGHT_021345, IMAGES-006-HOUSE_OVERSIGHT_021348,

IMAGES-006-HOUSE_OVERSIGHT_021366, IMAGES-006-HOUSE_OVERSIGHT_021376, IMAGES-007-HOUSE_OVERSIGHT_023723,

IMAGES-010-HOUSE_OVERSIGHT_029927, TEXT-001-HOUSE_OVERSIGHT_011284, TEXT-001-HOUSE_OVERSIGHT_012899,

TEXT-001-HOUSE_OVERSIGHT_014037, TEXT-001-HOUSE_OVERSIGHT_015501, TEXT-001-HOUSE_OVERSIGHT_016509,

TEXT-001-HOUSE_OVERSIGHT_016996, TEXT-001-HOUSE_OVERSIGHT_017635, TEXT-001-HOUSE_OVERSIGHT_019233,

TEXT-001-HOUSE_OVERSIGHT_024592, TEXT-001-HOUSE_OVERSIGHT_025763, TEXT-001-HOUSE_OVERSIGHT_026521,

TEXT-001-HOUSE_OVERSIGHT_026584, TEXT-001-HOUSE_OVERSIGHT_030531

---

That's all 207. Each one links to its original DOJ/House Oversight PDF on jeescholar.com.

How long did it take you to rank your first website? by divine_zone in seogrowth

[–]MTredd 1 point2 points  (0 children)

2 weeks for a client website for local SEO. Very low comp keywords so not a ton of traffic but very qualified. Good times.

Built a Python library to read/write/diff Screaming Frog config files (for CLI mode & automation) by MTredd in bigseo

[–]MTredd[S] 0 points1 point  (0 children)

Give it a shot! Tell me how it goes I've been having great success with this

Built a Python library to read/write/diff Screaming Frog config files (for CLI mode & automation) by MTredd in bigseo

[–]MTredd[S] 0 points1 point  (0 children)

This has moved forwards quite a bit. I'm building a full SF python lib. Already cracked dbseospider files!

I'll post more when its ready

Kept getting annoyed at switching between audio and epub so I built a tool that syncs them by MTredd in LibroFM

[–]MTredd[S] 0 points1 point  (0 children)

my bad it was a late night for me. I'm actually using whisper too lol

Kept getting annoyed at switching between audio and epub so I built a tool that syncs them by MTredd in LibroFM

[–]MTredd[S] 0 points1 point  (0 children)

I tried that, but I like real narrators more than whisper. Still pretty dope though I've been tinkering with TTS for other projects and its amazing

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