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Jeffreycjacobs alternatives & similar sites

Jeffrey C. Jacobs – Author, scientist, programmer, organizer, cosplayer, polyglot, musician, actor, whovian, world-traveler — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jeffreycjacobs.org ↗	100 match 1 shared topics	Jeffrey C. Jacobs – Author, scientist, programmer, organizer, cosplayer, polyglot, musician, actor, whovian, world-traveler	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jeffreycjacobs.net ↗	100 match 1 shared topics	Jeffrey C. Jacobs – Author, scientist, programmer, organizer, cosplayer, polyglot, musician, actor, whovian, world-traveler	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jeffschult.com ↗	65 match 1 shared topics	Jeff Schult – Writer, author, tech guy	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
thejoeblankenship.com ↗	64 match 1 shared topics	Joe Blankenship — Geographer, Data Scientist, Hacker	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bowseranalytics.com ↗	64 match 1 shared topics	Stephen Bowser \| Data Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	none
tsogtb.com ↗	64 match 1 shared topics	TsogtBatjargal \| DataEngineer, Programmer, DataAnalyst	en	technology-and-computing	robotsllmsaihumans	emailphone	none
guillermosiesto.com ↗	64 match 1 shared topics	Guillermo Siesto \| Engineer, Researcher, Musician	en	technology-and-computing	robotsllmsaihumans	emailphone	none
brettking.com ↗	64 match 1 shared topics	Brett King \| Futurist, Speaker, Author	en	technology-and-computing	robotsllmsaihumans	emailphone	none
rosariasilipo.com ↗	64 match 1 shared topics	Rosaria Silipo - Data Scientist, Speaker, Consultant	en	technology-and-computing	robotsllmsaihumans	emailphone	none
romsics.com ↗	63 match 1 shared topics	Laszlo Romsics — Engineer & Data Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bridgermoreland.com ↗	63 match 1 shared topics	Bridger Moreland – Speaker, Educator, Technologist, Author	en	technology-and-computing	robotsllmsaihumans	emailphone	none
brinbliss.io ↗	63 match 1 shared topics	Brin Bliss – keyboard enthusiast, prolific coffee-drinker, spent too much on this domain.	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bradleyesposito.com ↗	63 match 1 shared topics	Bradley Esposito - Full-Stack Developer & Data Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
bradleydice.com ↗	63 match 1 shared topics	Bradley Dice – Scientific Software Developer	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
brianorr.com ↗	63 match 1 shared topics	Brian Orr - Engineering leader and musician	en	technology-and-computing	robotsllmsaihumans	emailphone	none
thelowlyprogrammer.com ↗	63 match 1 shared topics	The Lowly Programmer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jeffwilson.dev ↗	63 match 1 shared topics	Jeff Wilson \| Research Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
adam-gruber.com ↗	63 match 1 shared topics	Adam Gruber's Adventure in Data Science – Adam Gruber's Journey in Data Science from Beginner to Master. Every Oak starts as an acorn. Every program starts as an idea.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.