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WebRewrite.com : Java, Data Structure, Interview Questions, PHP, MySql Tutorial — 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
cs-fundamentals.com ↗	74 match 1 shared topics	IT Interview Questions and Answers & Programming Tutorials - cs-Fundamentals.com	en	programming-languages	robotsllmsaihumans	emailphone	none
spreadsheet-coding.com ↗	65 match 1 shared topics	SpreadSheet-Coding.com - Samples, Tips, and Tutorials	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
bleepingswift.com ↗	64 match 1 shared topics	BleepingSwift \| Swift & SwiftUI Tutorials - BleepingSwift	en	programming-languages	robotsllmsaihumans	emailphone	none
sqltutorial.net ↗	64 match 1 shared topics	SQL Tutorial – SQLTutorial.net – Learn SQL	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
cs-prep.org ↗	64 match 1 shared topics	CS Transfer Interview	en	programming-languages	robotsllmsaihumans	emailphone	none
newonlinebingo.co.uk ↗	64 match 1 shared topics	BioChemiThon - Let's Write and Grow Together	United Kingdom en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
thiyagaraaj.com ↗	64 match 1 shared topics	Learn to Build — Developer Tutorials, Mobile, Cloud & Programming - Thiyagaraaj.com	en	programming-languages	robotsllmsaihumans	emailphone	none
sqlitetutorial.net ↗	63 match 1 shared topics	SQLite Tutorial - An Easy Way to Master SQLite Fast	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
4kids.dev ↗	63 match 1 shared topics	4Kids.Dev — Data Skills for the Next Generation	en	programming-languages	robotsllmsaihumans	emailphone	none
threadfool.com ↗	63 match 1 shared topics	Robin Paul · Notes on Software Design & Data Architecture \| Robin Paul	en	programming-languages	robotsllmsaihumans	emailphone	none
lc3tutor.org ↗	63 match 1 shared topics	LC3 Tutor \| Simulator, Help, & Examples for LC3 Assembly Language	en	programming-languages	robotsllmsaihumans	emailphone	none
code-projects.org ↗	62 match 1 shared topics	Download Free Open Source Projects \| PHP, C++ \| Source code & Projects	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
webtechie.be ↗	62 match 1 shared topics	Frank Delporte \| Java on Raspberry Pi, JavaFX & Open Source	Belgium en	programming-languages	robotsllmsaihumans	emailphone	none
incellware.com ↗	62 match 1 shared topics	Webinar \| AMR Data Analysis Using R: Part 1 & 2	en	programming-languages	robotsllmsaihumans	emailphone	none
springtutorials.com ↗	62 match 1 shared topics	Spring Tutorials Blog – Spring Tutorial on all spring topics.	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
corejava25hours.com ↗	62 match 1 shared topics	- Java Programmatic Universe	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
onjsdev.com ↗	62 match 1 shared topics	Onjsdev \| Javascript Developer Resources	en	programming-languages	robotsllmsaihumans	emailphone	none
a-programmer.shop ↗	62 match 1 shared topics	A-programmer – Computer Programming, Data Processing, and Integrated Systems Design Services	en	programming-languages WordPress WooCommerce	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.