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Nest Code - The knowledge hub of technologies, coding tips, and programming tutorial sharing — 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
toshstack.dev ↗	70 match 2 shared topics	ToshStack – Programming & Tech Engineering Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
incomputerscience.com ↗	70 match 2 shared topics	INCS - The latest in programming tutorials, computer science guides, and tech news.	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
langelp.net ↗	66 match 2 shared topics	lAngelP – Computer Science & Programming tutorials and curiosities	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0not.net ↗	66 match 2 shared topics	0not -- Programming, hacking, making, and science.	en	programming-languages	robotsllmsaihumans	emailphone	none
mdornseif.io ↗	65 match 2 shared topics	Dr. Maximillian Dornseif - Exploring the World of Software Development	en	programming-languages	robotsllmsaihumans	emailphone	none
epeec-project.eu ↗	65 match 2 shared topics	Epeec-Project - Blog about tools to accelerate programming in scientific industries	European Union en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
badrooki.dev ↗	65 match 2 shared topics	BadRooki \| Free Dev Tools, Tech Tips & Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sanadajuyushi.com ↗	65 match 2 shared topics	Sanada Juyushi - Exploring ideas, stories, and insights that inspire.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
samthesoftwareman.com ↗	65 match 2 shared topics	Sam the Software Man \| Thoughts and teachings on computer science, software engineering/development, as well as general technology topics. Lessons that I wish had been taught to me early in my career as a programmer.	en	programming-languages	robotsllmsaihumans	emailphone	none
onoffprogrammer.com ↗	65 match 2 shared topics	Home \| The On/Off Programmer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
reactivesystems.eu ↗	64 match 2 shared topics	On Software Architecture, Programming Languages, Engineering Management, and Systems Thinking	European Union en	programming-languages	robotsllmsaihumans	emailphone	none
fgilio.com ↗	64 match 2 shared topics	fgilio.com - A blog about code and useful tips	en	programming-languages	robots llmsaihumans	emailphone	none
badykov.com ↗	64 match 2 shared topics	Kraken of Thought	en	technology-and-computing	robotsllmsaihumans	emailphone	none
onetwiststories.com ↗	64 match 2 shared topics	THE EMBEDDED ENGINEER – Programming and Electronics blog about the embedded world	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
onloadcode.com ↗	64 match 2 shared topics	OnlodeCode • OnloadCode	en	technology-and-computing	robotsllmsaihumans	emailphone	none
thirdeyeprogrammer.com ↗	64 match 2 shared topics	Home - Tech Blog	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
spineprogramming.org ↗	64 match 2 shared topics	Introduction to SPINE Programming	en	programming-languages	robotsllmsaihumans	emailphone	none
abinashbarik.info ↗	64 match 2 shared topics	Abinash Barik \| Bhubaneswar,Odisha,India \| Programm...	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	partial · 7

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.