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Down Home Country Coding With Scott Selikoff and Jeanne BoyarskyDown Home Country Coding With Scott Selikoff and Jeanne Boyarsky | Java/J2EE Software Development and Technology Discussion Blog — 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
batina.net ↗	67 match 1 shared topics	Andrea Batina - Software Developer	en	programming-languages	robotsllmsaihumans	emailphone	none
devguruhub.com ↗	66 match 1 shared topics	Your Hub for Learning Software Development - DevGuruHub	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
federicadipasquale.com ↗	66 match 1 shared topics	Federica Di Pasquale — Software Developer, Java & C++, Pisa	IT~ en	programming-languages	robotsllmsaihumans	emailphone	none
devforgood.com ↗	66 match 1 shared topics	DEV FOR GOOD - A collection of tutorial, blogs and articles on code development with .NET	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bartkessels.net ↗	65 match 1 shared topics	Bart Kessels — Software Developer & Outdoor Enthusiast \| Bart Kessels	en	programming-languages	robots llmsaihumans	emailphone	none
felix-colibri.com ↗	65 match 1 shared topics	Felix Colibri- Delphi Source Code, Technical Articles, Delphi Trainings, Delphi Consulting and Development	en	programming-languages	robotsllmsaihumans	emailphone	none
dev-articles.com ↗	65 match 1 shared topics	DevArticles – In-Depth Technical Guides	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
developersdojo.com ↗	65 match 1 shared topics	Developers Dojo	en	programming-languages	robotsllmsaihumans	emailphone	none
pembrokesoftware.co.uk ↗	65 match 1 shared topics	Pembroke Software	GB en	programming-languages	robotsllmsaihumans	emailphone	none
devbrainiac.com ↗	65 match 1 shared topics	Developer Resources, Guides and Discussions - DevBrainiac	en	programming-languages	robots llmsaihumans	emailphone	none
avionshea.com ↗	65 match 1 shared topics	Avion Cobb - Embedded Software Engineer \| C++, Java, Quantitative Developer	en	programming-languages	robotsllmsaihumans	emailphone	none
devcodelabs.com ↗	65 match 1 shared topics	DevCodeLabs - Learn Software Development from Scratch	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
avanderlee.com ↗	64 match 1 shared topics	A weekly Swift Blog on Xcode and iOS Development - SwiftLee	en	programming-languages WordPress WooCommerce	robots llmsaihumans	emailphone	none
developingsoftware.com ↗	64 match 1 shared topics	Developing Software • Mastering Software Craftsmanship	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
svenfraeys.com ↗	64 match 1 shared topics	Sven Fraeys - Pipeline Developer	en	programming-languages	robotsllmsaihumans	emailphone	none
software-development.co.uk ↗	64 match 1 shared topics	Software Development – Behind the scenes	GB en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
lucasandersen.com ↗	64 match 1 shared topics	Lucas Andersen \| Programmer and Technology Leader	US~ en	programming-languages	robotsllmsaihumans	emailphone	none
5thavenuelabs.com ↗	64 match 1 shared topics	SwiftGuides - Modern Swift & iOS Development	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.