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Petra Trinke |Petra Trinke is a Computer Science and Digital Technologies specialist teacher for the last seven years at Belridge Secondary College in Beldon WA. Petra is part of ECAWA’s committee and has held the position of conference conveyor. Petra volunteers at ECU’s Girls in Programming Ne — 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
mini-lang.org ↗	66 match 1 shared topics	mini lang’s homepage \| The official mini website. A programming language for exploring the concepts of compilers and interpreters in an easy fashion thanks to its simple syntax and semantics.	en	programming-languages	robotsllmsaihumans	emailphone	none
serialsignal.com ↗	65 match 1 shared topics	Serial Signal \| The personal programming, technology and computer science blog of Matthew Jump	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
karigie.com ↗	65 match 1 shared topics	Java Programming Services, Consultation and Education \| Karigie Consulting Inc.	en	programming-languages Weebly Square Online	robotsllmsaihumans	emailphone	none
cscprogrammingtutorials.com ↗	64 match 1 shared topics	Computer Science Programming Tutorials \| Free Programming Tutorials, eBooks, Source Codes	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
nycomdorics.com ↗	64 match 1 shared topics	NY Comdori Computer Science Note - Notes on various computer science subjects such as C++, Python, Javascript, Algorithm, Data structure and coding interview problems	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
crystal-lang.org ↗	64 match 1 shared topics	The Crystal Programming Language	en	programming-languages	robotsllmsaihumans	emailphone	none
4programming.com ↗	64 match 1 shared topics	4Programming -- Specialized Search for Programming Resources	en	programming-languages	robotsllmsaihumans	emailphone	none
qubitlang.net ↗	64 match 1 shared topics	QubitLang \| The Future of Quantum Programming	en	programming-languages	robots llmsaihumans	emailphone	none
qubitlang.org ↗	64 match 1 shared topics	QubitLang \| The Future of Quantum Programming	en	programming-languages	robots llmsaihumans	emailphone	none
csestack.org ↗	64 match 1 shared topics	CSEstack – Computer Science & Programming Portal	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cstutors.org ↗	64 match 1 shared topics	Discover the Real Excitement of Computer Science – Alpharetta and Surrounding Areas	United States~ en	programming-languages	robotsllmsaihumans	emailphone	none
100xsite.com ↗	64 match 1 shared topics	100xSite \| Master Computer Science Visually	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
gubcpc.com ↗	64 match 1 shared topics	GUBCPC - GUB Competitive Programming Community	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
phlrubyvip.com ↗	64 match 1 shared topics	phlruby - Discover the World of Ruby and Enhance Your Programming Skills Today	en	programming-languages	robotsllmsaihumans	emailphone	none
cscalc.dev ↗	64 match 1 shared topics	Computer Science Calculator & Visualizer \| cscalc.dev	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
rankings.dev ↗	64 match 1 shared topics	The RedMonk Programming Language Rankings: June 2018 – tecosystems	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
mineshspc.com ↗	64 match 1 shared topics	Home \| CS@Mines High School Programming Competition	en	programming-languages	robotsllmsaihumans	emailphone	none
4ster.dev ↗	64 match 1 shared topics	✰λster✰ \| Programming, Computer Science, and Open Source	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.