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Embedded Consulting, C++, Embedded, Tech Lead, Agile Coaching, DevOps — 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
airfryerfitness.com ↗	64 match 2 shared topics	THE EMBEDDED ENGINEER – Programming and Electronics blog about the embedded world	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deploymenteveryday.com ↗	64 match 2 shared topics	Deployment Every Day - JVM (java/kotlin) performance, programming, frequent deployments, devops	en	programming-languages WordPress WooCommerce	robots llmsaihumans	emailphone	none
deanattali.com ↗	64 match 2 shared topics	Dean Attali - R-Shiny consultant	en	technology-and-computing	robotsllmsaihumans	emailphone	none
thedevopsreport.com ↗	64 match 2 shared topics	The Devops Report	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kazakov.life ↗	63 match 2 shared topics	Michael Kazakov's quiet corner – Software Development, C++, Tech Rant	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
csutter.dev ↗	63 match 2 shared topics	Colin Sutter - Embedded Software Engineer	en	programming-languages	robotsllmsaihumans	emailphone	none
rfmeekes.com ↗	63 match 2 shared topics	Robin Meekes - Embedded Software Engineer	en	programming-languages	robotsllmsaihumans	emailphone	none
agilecoding.io ↗	63 match 2 shared topics	AgileCoding.io - connecting agile project management with coding and all it takes around it	en	technology-and-computing	robotsllmsaihumans	emailphone	none
francgs.dev ↗	63 match 2 shared topics	Francisco Gonzalez - Tech Lead and Senior Software Developer with 9 years of experience.	en	programming-languages	robotsllmsaihumans	emailphone	none
knowledge.kitchen ↗	63 match 2 shared topics	Knowledge Kitchen \| This site contains a somewhat organized collection of notes, mostly prepared for courses I have taught. Agile development & Devops, Software Engineering, Database Design, Web Design, Computer Programming, Computer Science, Physical Computing. Take a look.	en	programming-languages	robotsllmsaihumans	emailphone	none
beatrizsabater.com ↗	63 match 2 shared topics	Beatriz Sabater - Unreal Engine C++ Consultant	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kiesthardt.com ↗	63 match 2 shared topics	Adrian's Blog	en	programming-languages	robotsllmsaihumans	emailphone	none
devabyte.com ↗	63 match 2 shared topics	Welcome to Devabyte - Your Tech Hub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
advclub.tech ↗	62 match 2 shared topics	Advanced Tech Club	en	technology-and-computing	robotsllmsaihumans	emailphone	none
africanbeat.dev ↗	62 match 2 shared topics	Welcome!	en	programming-languages	robotsllmsaihumans	emailphone	none
beaumont.dev ↗	62 match 2 shared topics	Embedded Rust with LoRa and ePaper - Refactoring & RTIC	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kig.re ↗	62 match 2 shared topics	x.com/kig — Konstantin Gredeskoul — On Engineering, Life, and Everything Else.	en	programming-languages	robotsllmsaihumans	emailphone	none
alwaysbusycorner.com ↗	62 match 2 shared topics	Alwaysbusy's Corner – Some fun programming projects and technology news	en	programming-languages 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.