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Kyle Yang | Blogs sharing statistics, data science and developing stuff — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
standard-out.com ↗	71 match 2 shared topics	> Standard Out – Exploring the world of software development, technology, data science, and life	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
gedmski.dev ↗	70 match 2 shared topics	Gabriel Marquez \| Data Science & AI Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dekingsanalytics.com ↗	70 match 2 shared topics	data science and analytics engineering, how to, machine and deep learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
williamlonon.dev ↗	69 match 2 shared topics	William Lonon — Data Scientist & Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
myinference.my ↗	69 match 2 shared topics	Data Science \| Myinference	en	artificial-intelligence Wix	robotsllmsaihumans	emailphone	none
mbgirish.xyz ↗	69 match 2 shared topics	M B Girish \| Data Scientist \| ML Engineer \| Full Stack Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dzenanhamzic.com ↗	68 match 2 shared topics	Bits & Notes – (Big)Data Science & Software Engineering	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
nawfil.tech ↗	68 match 2 shared topics	Nawfil Faraaz \| Data Scientist & Software Developer	en	technology-and-computing	robotsllmsaihumans	email phone	none
giftojeabulu.com ↗	68 match 2 shared topics	Gift Ojeabulu — Data Scientist \| Developer Advocate \| AI Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
reidrhodes.com ↗	68 match 2 shared topics	Reid Rhodes - Data Science Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ahmadso.xyz ↗	68 match 2 shared topics	Ahmad Sofiyurrohman \| Full Stack Developer • Data Scientist • ML Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
emsi.me ↗	68 match 2 shared topics	EMSI - Essentials of Modern Science and Innovation	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
behindaimodels.com ↗	67 match 2 shared topics	Behind AI Models — The Art of Data Science	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
statisticstidbits.com ↗	67 match 2 shared topics	Statistics Tidbits: Just rambling, occasionally making sense.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mcinerney.ai ↗	67 match 2 shared topics	Dan McInerney - Hacking, AI, Agents, and Statistics	en	technology-and-computing	robots llmsaihumans	emailphone	partial · 8
nextbigfuture.com ↗	67 match 2 shared topics	NextBigFuture.com – Coverage of Disruptive Science and Technology	United States~ en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
naeemahsmall.com ↗	67 match 2 shared topics	Naeemah Aliya Small — Senior Python Developer, Ethical AI & Data Scientist	United States~ en	artificial-intelligence Gumroad	robotsllmsaihumans	emailphone	none
regulargeek.com ↗	66 match 2 shared topics	Regular Geek – A mix of software development, processes, machine learning and data.	en	artificial-intelligence 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.