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Clifford Sanders | Continuous Integration and Delivery — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
pakzilla.com ↗	64 match 2 shared topics	Pakzilla – Opinion and news on technology that matters	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
dorkhelp.com ↗	64 match 2 shared topics	Dork Help - Online Converters, Calculations and Information Tools	en	technology-and-computing	robotsllmsaihumans	emailphone	none
helloworldbook2.com ↗	63 match 2 shared topics	Hello World! Second Edition - Warren Sande and Carter Sande	en	programming-languages	robotsllmsaihumans	emailphone	none
studiorabota.com ↗	63 match 2 shared topics	Studio Rabota \| Coding, education, prototyping and artistic-scientific experimentation	en	programming-languages	robotsllmsaihumans	emailphone	none
easylanguageprogramming.net ↗	63 match 2 shared topics	EasyLanguage Programmer \| Multicharts \| Tradestation	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
easylanguageprogramming.com ↗	63 match 2 shared topics	EasyLanguage Programmer \| Multicharts \| Tradestation	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
iangrunert.com ↗	63 match 2 shared topics	Ian Grunert \| converting coffee into code	en	programming-languages	robotsllmsaihumans	emailphone	none
hernandomontoya.dev ↗	63 match 2 shared topics	Hernando Montoya Oliveros - Android Developer	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
robertoor.com ↗	63 match 2 shared topics	Roberto OR – Code and Life	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
dotnetfunda.com ↗	63 match 2 shared topics	.NET Tutorials for Beginners and Intermediate level software professionals - DotNetFunda.com	en	programming-languages	robotsllmsaihumans	emailphone	none
g0blin.com ↗	63 match 2 shared topics	Tech Trends & Code Innovations – G0blin	en	technology-and-computing Joomla	robotsllmsaihumans	emailphone	none
adoptingerlang.org ↗	62 match 2 shared topics	Introduction \| Adopting Erlang	en	programming-languages	robotsllmsaihumans	emailphone	none
domslee.com ↗	62 match 2 shared topics	Dom’s Tech blog \| A blog for my programming projects and findings	en	programming-languages	robotsllmsaihumans	emailphone	none
adrianemolives.dev ↗	62 match 2 shared topics	Adrian Olives	en	technology-and-computing	robotsllmsaihumans	emailphone	none
christopherbwilliams.com ↗	62 match 2 shared topics	Christopher Williams – Husband \| Father \| Project Manager – Husband \| Father \| Project Manager \| Systems Integrator	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
frog-radio.com ↗	62 match 2 shared topics	Frog Radio - Voices, stories, and ideas that leap into everyday life.	en	programming-languages	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
bajiri.com ↗	62 match 2 shared topics	Blog.Bajiri	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.