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Jordan Vanriel | Mechanical Engineer Portfolio — 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 Mechanical And Industrial Engineering Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
zoubeir-magham.com ↗	77 match 1 shared topics	Zoubeir Magham \| Mechanical Engineer Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
devinturk.com ↗	75 match 1 shared topics	Devin Turk \| Mechanical Engineering Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
joealapat.com ↗	75 match 1 shared topics	Joe Alapat \| Mechanical Engineering Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
declanskelly.com ↗	74 match 1 shared topics	Declan Kelly - Mechanical Engineering Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	partial · 8
aboutmech.com ↗	73 match 1 shared topics	Mechanical Engineering	en	mechanical-and-industrial-engineering-industry Contao Reaction Commerce	robotsllmsaihumans	emailphone	none
carsonheath.com ↗	73 match 1 shared topics	Carson Heath \| Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
lucian-sharpe.com ↗	73 match 1 shared topics	Lucian Sharpe \| Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	email phone	none
lukaanoshenko.com ↗	72 match 1 shared topics	Luka Anoshenko \| Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
avinashnayal.com ↗	72 match 1 shared topics	Avinash Nayal \| Mechanical Engineer & Researcher	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
josephimprota.com ↗	71 match 1 shared topics	Joseph Improta - Mechanical Engineering Portfolio \| Joseph Improta	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
urielms.com ↗	71 match 1 shared topics	Uriel Magaña-Salgado — Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
m-cheung.com ↗	71 match 1 shared topics	Man Kit Cheung - Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
johnmekhtarian.com ↗	71 match 1 shared topics	John Mekhtarian — Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
nashreeves.com ↗	70 match 1 shared topics	Joseph Nash Reeves, EIT, CSWP \| Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
suryakher.com ↗	70 match 1 shared topics	Surya Kher – Early Career Mechanical Engineer	en	mechanical-and-industrial-engineering-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ems-group.co.uk ↗	70 match 1 shared topics	EMS Group Ltd \| Mechanical engineers \| Great Britain	GB en	mechanical-and-industrial-engineering-industry Wix	robots llmsaihumans	emailphone	none
designrise.com ↗	70 match 1 shared topics	DesignRise - Joe Bucciaglia Mechanical Engineer	en	mechanical-and-industrial-engineering-industry WordPress	robotsllmsaihumans	emailphone	none
jontorrey.com ↗	70 match 1 shared topics	Jon Torrey – Mechanical engineer and coffee addict	en	mechanical-and-industrial-engineering-industry 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.