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Good News – I'm trying to learn some coding basics and data science principals. I post a weekly report discussing what I learned. Enjoy. — 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
currentlycompiling.com ↗	65 match 2 shared topics	CurrentlyCompiling – Code Chronicles: Exploring Computer Science and Tech News	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	full · 12
thatgirlcoder.com ↗	64 match 2 shared topics	That Girl Coder – Learn and Grow Everyday!	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
cslib.io ↗	64 match 2 shared topics	A Focused Effort on Formalizing Computer Science in Lean	en	technology-and-computing	robotsllmsaihumans	emailphone	none
deadends.dev ↗	64 match 2 shared topics	deadends.dev - Stop Trying What Doesn't Work	Japan~ en	technology-and-computing	robots llmsaihumans	emailphone	none
dmeado12-nkgcs.com ↗	64 match 2 shared topics	Da'Mya' Meadows Portfolio (Welcome!) – This is a website for all of my coding/data projects :D	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mylevel4cache.com ↗	64 match 2 shared topics	My Level 4 Cache – A Little Tech, Some Coding, A Little Personal Therapy	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
engineeringnotes.dev ↗	64 match 2 shared topics	Engineering Notes	en	programming-languages	robotsllmsaihumans	emailphone	none
willmakley.dev ↗	63 match 2 shared topics	William Manahan-Makley \| Self-motivated and experienced software engineer with a wide variety of experience in all aspects of software development. I love my family, using my skills to help others, learning, and Yoga.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
why.degree ↗	63 match 2 shared topics	why.degree \| Articles on the struggle to move from theory to practice, on the new and the old in Computer Science.	en	programming-languages	robotsllmsaihumans	emailphone	none
getsetproject.com ↗	63 match 2 shared topics	A Gateway to Computer Science Projects	en	technology-and-computing	robotsllmsaihumans	emailphone	none
stringdiagram.com ↗	63 match 2 shared topics	Dan Marsden – Theoretical computer scientist and lover of of monads and string diagrams	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
gangwang.org ↗	63 match 2 shared topics	Gang Wang – Digitalization \| Computational Science	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
deepnet42.com ↗	63 match 2 shared topics	Explore computer science, the universe, and everything! \| DeepNet42	en	technology-and-computing	robotsllmsaihumans	emailphone	none
defprogramming.com ↗	63 match 2 shared topics	Quotes about coding \| def programming	en	programming-languages	robotsllmsaihumans	emailphone	none
cwj.app ↗	63 match 2 shared topics	cwj - Vibe Coding Journey	en	programming-languages Spree Commerce	robotsllmsaihumans	emailphone	none
gitwrapped.app ↗	63 match 2 shared topics	GitWrapped \| Your Coding Year in Review	en	programming-languages	robotsllmsaihumans	emailphone	none
kerbcoding.com ↗	63 match 2 shared topics	KerbCoding – Jason Koerber's Swift Coding Projects	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
myserverdevops.com ↗	63 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.