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MyJavaCode.com - Tutorial and How to Guide on Java Programming. Topics covered include Java Programming Language - Core Java, Spring, Webservices, REST, Hibernate, Maven and Microservices. — 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
concreteinstaller.com ↗	70 match 1 shared topics	My Coding Path Blog - A resource hub for individuals learning to code, offering tutorials, resources, and guides for various programming languages	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cscprogrammingtutorials.com ↗	67 match 1 shared topics	Computer Science Programming Tutorials \| Free Programming Tutorials, eBooks, Source Codes	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
kotless.com ↗	67 match 1 shared topics	Kotlin Programming Language	en	programming-languages	robotsllmsaihumans	emailphone	none
langindex.dev ↗	67 match 1 shared topics	LangIndex — source-backed programming language reference	en	programming-languages	robotsllmsaihumans	emailphone	none
owen-lang.org ↗	67 match 1 shared topics	Owen programming language	en	programming-languages	robotsllmsaihumans	emailphone	none
cs-fundamentals.com ↗	66 match 1 shared topics	IT Interview Questions and Answers & Programming Tutorials - cs-Fundamentals.com	en	programming-languages	robotsllmsaihumans	emailphone	none
langfor.dev ↗	66 match 1 shared topics	Learn programming languages by comparison \| langfor.dev	en	programming-languages	robotsllmsaihumans	emailphone	none
languagelineage.org ↗	66 match 1 shared topics	Programming Language Lineage Graph \| What Languages Are Written In	en	programming-languages	robots llmsaihumans	emailphone	none
polyrepl.com ↗	66 match 1 shared topics	PolyRepl - Learn a programming language by typing real code	en	programming-languages	robotsllmsaihumans	emailphone	none
crystal-lang.org ↗	66 match 1 shared topics	The Crystal Programming Language	en	programming-languages	robotsllmsaihumans	emailphone	none
alchemy-lang.org ↗	66 match 1 shared topics	Alchemy-Lang Programming Language	en	programming-languages	robotsllmsaihumans	emailphone	none
krivalar.com ↗	66 match 1 shared topics	Krivalar - Learn Computer Fundamentals, OS, C, Java Programming, Data Structures...	en	programming-languages	robotsllmsaihumans	emailphone	none
p1graph.org ↗	66 match 1 shared topics	P1 Graphs \| This is my blog containing things I find interesting, mostly on the topics of math, programming, (studying) 國語, and P1 graphs.	en	programming-languages	robotsllmsaihumans	emailphone	none
lambda-the-penultimate.org ↗	65 match 1 shared topics	Not A Number - Programming, Theory, and Math	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
0xeb.net ↗	65 match 1 shared topics	Shortjump! \| Reversing engineering, programming and what not…	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
etaprogramming.com ↗	65 match 1 shared topics	Eta Programming	en	programming-languages	robotsllmsaihumans	emailphone	none
larf.dev ↗	65 match 1 shared topics	Language Architect and Runtime Development \| Language Architect and Runtime Development	en	programming-languages	robotsllmsaihumans	emailphone	none
ponyprogramming.com ↗	65 match 1 shared topics	Pony Programming	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.