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Charlie Patterson - Bits of code, reflections, and projects for the sake of learning — 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
robertoisboring.com ↗	66 match 1 shared topics	Mindful Development \| A Space for Reflection, Code, and Creativity	en	programming-languages	robotsllmsaihumans	emailphone	none
kylepiira.com ↗	65 match 1 shared topics	Kyle Piira – Blog, Resume, and Projects	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
redcrabsoftware.co.uk ↗	65 match 1 shared topics	Tom Auger (taugr) — coding, research, teaching, and projects	GB en	programming-languages	robots llmsaihumans	emailphone	none
mkasoft.com ↗	64 match 1 shared topics	Programming tutorials and projects — mkasoft	en	programming-languages	robotsllmsaihumans	emailphone	none
acodingboy.com ↗	64 match 1 shared topics	Explore acodingboy for Coding Projects and Videos \| acodingboy	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
adaresource.org ↗	64 match 1 shared topics	Ada Resource Association - News and resource for the Ada programming language	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
cybercomputing.co.uk ↗	64 match 1 shared topics	Cybercomputing - information for students of computing, and for teachers and parents of those students. Tutorial for use of Macromedia Flash and Fireworks, Also includes a section on how we learn according to our personalities.	GB en	programming-languages	robotsllmsaihumans	emailphone	none
circuitsandcode.net ↗	64 match 1 shared topics	Circuits and Code – Technology is for Everyone	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
dominikgrabiec.com ↗	64 match 1 shared topics	Dominik Grabiec Blog \| Personal blog for describing programming topics, showing off personal projects, and discussing technical opinions.	en	programming-languages	robotsllmsaihumans	emailphone	none
hocohoc.org ↗	63 match 1 shared topics	Howard County Hour of Code / AI - Learn Computer Science	en	programming-languages	robotsllmsaihumans	emailphone	none
abyteofcode.com ↗	63 match 1 shared topics	A Byte Of Code	en	programming-languages	robotsllmsaihumans	emailphone	none
1riz.com ↗	63 match 1 shared topics	Projects \| 1riz	en	programming-languages	robotsllmsaihumans	emailphone	none
5minsofcode.com ↗	63 match 1 shared topics	5 minutes of code	en	programming-languages	robotsllmsaihumans	emailphone	none
roadtodevelopers.com ↗	63 match 1 shared topics	Road To Developers \| Learning Programming and Build Your Career	en	programming-languages	robotsllmsaihumans	emailphone	none
4kids.dev ↗	63 match 1 shared topics	4Kids.Dev — Data Skills for the Next Generation	en	programming-languages	robotsllmsaihumans	emailphone	none
charliedigital.com ↗	63 match 1 shared topics	<CharlieDigital/> – Programming, Politics, and uhh…pineapples	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
adimation.info ↗	63 match 1 shared topics	Adimation - Lets learn	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
checkio.com ↗	63 match 1 shared topics	CheckiO - coding games and programming challenges for beginner and advanced	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.