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Deployment Every Day - JVM (java/kotlin) performance, programming, frequent deployments, 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
devunwind.com ↗	67 match 2 shared topics	DevUnwind - Simplifying Programming & Software Development for Beginners	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
lu-pan.com ↗	66 match 2 shared topics	Lu’s blog \| Learnings on system and programming.	en	programming-languages	robotsllmsaihumans	emailphone	none
m-waleed.com ↗	66 match 2 shared topics	Mohamed Waleed’s Tech Blog – Software Engineering, Programming, and Development Insights	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
pirgee.com ↗	66 match 2 shared topics	Pir Gee \| Learn Programming, APIs, Databases & Tech Trends	en	programming-languages	robotsllmsaihumans	emailphone	none
0not.net ↗	66 match 2 shared topics	0not -- Programming, hacking, making, and science.	en	programming-languages	robotsllmsaihumans	emailphone	none
platformruntime.digital ↗	65 match 2 shared topics	Platform Runtime · Programming Consulting from Manila	en	programming-languages	robotsllmsaihumans	emailphone	none
joshdw.com ↗	65 match 2 shared topics	Programming, Writing & Bits and Pieces \| Journey into 1s and 0s	en	technology-and-computing	robotsllmsaihumans	emailphone	none
devgreek.com ↗	65 match 2 shared topics	Home Page - DevGreek \| Tech Wisdom and Programming Insights	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
sysreverse.com ↗	64 match 2 shared topics	Sysreverse - Deep dive into system internals and low-level programming	en	programming-languages	robotsllmsaihumans	emailphone	none
hashhar.com ↗	64 match 2 shared topics	Here Be Dragons \| Programming and social factors. A blog about programming, customising development environments and troubleshooting weird issues so that you don’t have to. There may be occasional kittens and puppers.	en	programming-languages	robotsllmsaihumans	emailphone	none
decebalonprogramming.net ↗	64 match 2 shared topics	Decebal on programming	en	programming-languages	robotsllmsaihumans	emailphone	none
aboutprogrammers.org ↗	64 match 2 shared topics	About programmers	en	technology-and-computing	robotsllmsaihumans	emailphone	none
averageprogrammer.com ↗	64 match 2 shared topics	Average Programmer	en	programming-languages	robotsllmsaihumans	emailphone	none
farhanaliqureshi.com ↗	64 match 2 shared topics	Farhan Ali Qureshi - Programmer, Maker, Techie, Foodie	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
joshcookcomputing.com ↗	64 match 2 shared topics	Josh Cook Computing – Programming, Geek, Politics, and Other Random Thoughts	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
josetonyp.com ↗	64 match 2 shared topics	Jose Antonio Pio \| Software engineering and management notes on web development, databases, devops, and engineering leadership.	en	programming-languages	robotsllmsaihumans	emailphone	none
pix2r.com ↗	64 match 2 shared topics	πx2r	en	programming-languages	robotsllmsaihumans	emailphone	none
pixelstech.net ↗	64 match 2 shared topics	PixelsTech - A place for programmers	en	programming-languages Sanity	robots llmsaihumans	emailphone	partial · 8

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.