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Simon Holywell · A developer in Brisbane, Australia with a passion for web application development and mountain bikes. — 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 Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
theswiftdev.com ↗	68 match 1 shared topics	Articles about application development - The.Swift.Dev.	en	programming-languages	robotsllmsaihumans	emailphone	none
gaevoy.com ↗	67 match 1 shared topics	Volodymyr Gaevoy's blog \| Expert Web Development Services	en	programming-languages	robotsllmsaihumans	emailphone	none
simplydeveloper.dev ↗	66 match 1 shared topics	SimplyDeveloper - Professional Roblox Developer & Programmer	en	programming-languages	robotsllmsaihumans	emailphone	none
devforgood.com ↗	66 match 1 shared topics	DEV FOR GOOD - A collection of tutorial, blogs and articles on code development with .NET	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
javapro.io ↗	66 match 1 shared topics	JAVAPRO \| Magazine for professional Java development in practical use	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
developerdevelopment.com ↗	66 match 1 shared topics	Developer Development	en	programming-languages	robotsllmsaihumans	emailphone	none
p2sdev.com ↗	66 match 1 shared topics	Passionate Java developer. Developer of JSON to ORMs mapping	en	programming-languages	robotsllmsaihumans	emailphone	none
downhomecountrycoding.com ↗	66 match 1 shared topics	Down Home Country Coding With Scott Selikoff and Jeanne BoyarskyDown Home Country Coding With Scott Selikoff and Jeanne Boyarsky \| Java/J2EE Software Development and Technology Discussion Blog	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
downhomecountrycoding.net ↗	66 match 1 shared topics	Down Home Country Coding With Scott Selikoff and Jeanne BoyarskyDown Home Country Coding With Scott Selikoff and Jeanne Boyarsky \| Java/J2EE Software Development and Technology Discussion Blog	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
downhomecountrycoding.org ↗	66 match 1 shared topics	Down Home Country Coding With Scott Selikoff and Jeanne BoyarskyDown Home Country Coding With Scott Selikoff and Jeanne Boyarsky \| Java/J2EE Software Development and Technology Discussion Blog	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
mathiassm.com ↗	66 match 1 shared topics	MathiasSM - Software Development Engineer	en	programming-languages	robotsllmsaihumans	emailphone	none
javaboutique.com ↗	66 match 1 shared topics	Java Programming Tutorials and Developer Resources	en	programming-languages	robotsllmsaihumans	emailphone	none
devguruhub.com ↗	65 match 1 shared topics	Your Hub for Learning Software Development - DevGuruHub	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
javadevcentral.com ↗	65 match 1 shared topics	Java Developer Central	en	programming-languages	robotsllmsaihumans	emailphone	none
developertype.com ↗	65 match 1 shared topics	DeveloperType — typing practice for developers	en	programming-languages	robotsllmsaihumans	emailphone	none
javaspec.com ↗	65 match 1 shared topics	JavaSpec - Java Tutorials, Coding Guides And Developer Tips	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
development-blog.com ↗	65 match 1 shared topics	Development Blog - Advancing Your Skills In Coding, App Development, Data Science, and More	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
jasoncharnes.com ↗	65 match 1 shared topics	Jason Charnes: A Ruby Developer in Memphis	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.