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Quantum | Quantum’s (a.k.a. Guanzhong Chen) blog about coding, security, and other computer technology. — 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
flexineering.com ↗	72 match 2 shared topics	A blog about Rust, Compression, and other things.	en	programming-languages	robotsllmsaihumans	emailphone	none
aloneinthesea.com ↗	68 match 2 shared topics	Alone in the Sea \| A site about coding, software, and related topics	en	programming-languages	robotsllmsaihumans	emailphone	none
alvernaz.dev ↗	68 match 2 shared topics	Dev Alvernaz – Blogs about Django, Python, AWS and other things	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
kelseymckenna.com ↗	67 match 2 shared topics	Kelsey McKenna \| Blog about software and stuff	en	technology-and-computing	robotsllmsaihumans	emailphone	none
programmingzen.com ↗	67 match 2 shared topics	Programming Zen - Musings About Programming and Technology	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
defprogramming.com ↗	66 match 2 shared topics	Quotes about coding \| def programming	en	programming-languages	robotsllmsaihumans	emailphone	none
currentlycompiling.com ↗	66 match 2 shared topics	CurrentlyCompiling – Code Chronicles: Exploring Computer Science and Tech News	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	full · 12
deadpix3l.me ↗	66 match 2 shared topics	DeadPix3l \| A blog about nothing. and code.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
iamdavidfox.com ↗	66 match 2 shared topics	What Backups? – Probably some rants about coding…	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
tripleemcoder.com ↗	65 match 2 shared topics	Marcin Mikołajczak a.k.a. TripleEmcoder \| An attempt at blogging – SymbolSource, .NET and other matters	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
mytechramblings.com ↗	65 match 2 shared topics	my tech ramblings — A blog for writing about my techie ramblings	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alwaystechie.com ↗	65 match 2 shared topics	Always Techie - Daily Dose Of Technology	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
bsoule.com ↗	65 match 2 shared topics	Bethaknee is me \| Bethany is a Master of computer science by authority of Columbia University. She is passionate about autonomous locomotion, self quantification, fiber arts, mythologies, and of course codecodecode. She lives in the verdant Pacific Northwest.	en	programming-languages	robotsllmsaihumans	emailphone	none
deepnet42.com ↗	65 match 2 shared topics	Explore computer science, the universe, and everything! \| DeepNet42	en	technology-and-computing	robotsllmsaihumans	emailphone	none
gilldave.co.uk ↗	65 match 2 shared topics	Home - Dave Gill	United Kingdom en	technology-and-computing	robotsllmsaihumans	emailphone	none
ianoxley.com ↗	64 match 2 shared topics	Ian Oxley \| Notes on software development and other miscellany.	en	programming-languages	robotsllmsaihumans	emailphone	none
leftofnull.com ↗	64 match 2 shared topics	Home \| Left of Null	en	programming-languages	robotsllmsaihumans	emailphone	none
myserverdevops.com ↗	64 match 2 shared topics	ServerDevOps: Tech Coding Tips Blog	en	technology-and-computing WordPress	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.