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champness.org | Agile methods; emergent design and evolutionary architecture; test-first TDD; loose coupling; inversion of control and dependency injection. — 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
learninbytes.com ↗	64 match 2 shared topics	Learn in Byte - Software Architecture & Learning	en	technology-and-computing	robotsllmsaihumans	emailphone	none
btmash.com ↗	64 match 2 shared topics	BTMash - Blob of contradictions - BTMash	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dnbff.com ↗	64 match 2 shared topics	CodeReclaimers, LLC · Scientific computing, computational geometry, neuroevolution	United States~ en	programming-languages	robotsllmsaihumans	emailphone	none
deepcodeonline.com ↗	63 match 2 shared topics	Deep Code Online - Digital And Binary Space Continuum Of Michael Blanco	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
lemmatheultimate.com ↗	63 match 2 shared topics	GitHub - lemmatheultimate/weblog: An open, inclusive, and collaborative blog community of formal methods and functional programming enthusiasts. Just ask @larrytheliquid to be promptly added as a member and begin contributing at your leisure :) · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
devdictionary.io ↗	63 match 2 shared topics	Dev Dictionary — A Developer's Plain-English Dictionary	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bsoule.com ↗	63 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
i18nguy.com ↗	63 match 2 shared topics	Internationalization (I18n), Localization (L10n), Standards, and Amusements	en	technology-and-computing	robotsllmsaihumans	emailphone	none
learningtopi.com ↗	63 match 2 shared topics	Learning to Pi - Programming Python on SBC's and Microcontrollers	en	programming-languages 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
decovar.dev ↗	62 match 2 shared topics	Declaration of VAR	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
dl-thompson.com ↗	62 match 2 shared topics	DL-Thompson.com - My developer profile that contains information about me and some projects I've worked on.	en	programming-languages	robotsllmsaihumans	emailphone	none
buildplease.com ↗	62 match 2 shared topics	Nick Chamberlain	en	programming-languages	robotsllmsaihumans	emailphone	none
bundlephobia.com ↗	62 match 2 shared topics	Bundlephobia \| Size of npm dependencies	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
distortos.org ↗	62 match 2 shared topics	distortos - object-oriented C++ RTOS for microcontrollers	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
trevorcroteau.com ↗	62 match 2 shared topics	Trevor-Croteau-Data-Portfolio \| This is a place for my journey through learning data science. I will include the code produced for each project of my mine as well as a brief description and the visualizations produced.	en	programming-languages	robotsllmsaihumans	emailphone	none
learnitwithben.com ↗	62 match 2 shared topics	BenSvin’s Portfolio \| Projects and Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
lepsch.com ↗	62 match 2 shared topics	Guilherme Lepsch - Passionate About Code, Crafting Solutions with Heart	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.