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Introduction - GLML — 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
matthewkweon.click ↗	62 match 2 shared topics	Yongjoon Kweon - Project Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mpp-conf.org ↗	62 match 2 shared topics	MPP 2021: 10th Workshop on Parallel Programming Models - Emerging Technologies on Machine Learning Acceleration - Home	en	artificial-intelligence Weebly	robotsllmsaihumans	emailphone	none
deeptype.org ↗	61 match 2 shared topics	DeepType \| Superhuman Entity Linking All you need is type interactions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
neat-javascript.com ↗	61 match 2 shared topics	NEAT-JavaScript Documentation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
developerpal.dev ↗	61 match 2 shared topics	Code Explainer, AI Code explainer, AI Code translator, code translator, python code explainer, java code explainer, Translation, The Ultimate Coding Companion - DeveloperPal	en	programming-languages	robotsllmsaihumans	emailphone	none
myoddweb.com ↗	61 match 2 shared topics	MyOddweb.com - General Random thoughts	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
naughty-intentions.com ↗	61 match 2 shared topics	Naughty Intentions — Learn to Build for Real	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
4python.com ↗	61 match 2 shared topics	4Python -- Search for Python, AI, Tutorials, and Code	en	programming-languages	robotsllmsaihumans	emailphone	none
willthbill.dev ↗	61 match 2 shared topics	William Bille Meyling - Danish AI Champion & Competitive Programmer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
stephensiegel.org ↗	61 match 2 shared topics	The Devil in the Details – Formal methods, concurrency, and verification	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
lynkmesh.site ↗	60 match 2 shared topics	Lynkmesh – Building context precision for AI coding agents. Moving from probabilistic guessing to deterministic mapping.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
abdullahalmahim.xyz ↗	60 match 2 shared topics	Abdullah Al Mahim - Portfolio	en	artificial-intelligence	robotsllmsaihumans	email phone	none
mac-studios.live ↗	60 match 2 shared topics	Mac Studios — Learn Vibe Coding	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
maciejzj.xyz ↗	60 match 2 shared topics	Maciej Ziaja	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
manohar.codes ↗	60 match 2 shared topics	Manohar Saini — CS Student	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mattis.berlin ↗	60 match 2 shared topics	Toni Mattis	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mattis.photography ↗	60 match 2 shared topics	Toni Mattis	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
whenny.dev ↗	60 match 2 shared topics	Whenny - The Modern TypeScript Date Library for the AI Era	en	programming-languages	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.