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Programmingtrends alternatives & similar sites

Programming Trends — 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
holymonkey.com ↗	72 match 2 shared topics	Web Dev & Programming Thoughts	en	programming-languages	robotsllmsaihumans	emailphone	none
p3sh.app ↗	69 match 2 shared topics	p3sh \| Pato's Pair Programming Shell	en	programming-languages	robotsllmsaihumans	emailphone	none
andypi.co.uk ↗	69 match 2 shared topics	AndyPi – Python & Programming	United Kingdom en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
hexar-decimal.com ↗	68 match 2 shared topics	Hexar-Decimal – Programming, Technology, and Life	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
vtuber-devgod.com ↗	68 match 2 shared topics	Vtuber DevGod's Programming blog \| DevGod Repo	en	programming-languages	robotsllmsaihumans	emailphone	none
0not.net ↗	67 match 2 shared topics	0not -- Programming, hacking, making, and science.	en	programming-languages	robotsllmsaihumans	emailphone	none
beaprogrammar.com ↗	66 match 2 shared topics	BeAProgrammar — Developer Articles	en	technology-and-computing	robotsllmsaihumans	emailphone	none
langelp.net ↗	66 match 2 shared topics	lAngelP – Computer Science & Programming tutorials and curiosities	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
hippieinablazer.com ↗	66 match 2 shared topics	Hippie in a Blazer – Musings on life and programming	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
moodymakes.com ↗	65 match 2 shared topics	Andrew Moody Portfolio – Programmer	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
siddikhamim.com ↗	65 match 2 shared topics	Md Abu Bakkar Siddik Hamim — Programmer & Researcher	en	programming-languages	robotsllmsaihumans	emailphone	none
primarilysoftware.com ↗	64 match 2 shared topics	PrimarilySoftware \| A place to write about .NET, DDD, Functional Programming, Machine Learning, and whatever else may pique my interest	en	programming-languages	robotsllmsaihumans	emailphone	none
pragyanh.com ↗	64 match 2 shared topics	Pragyan Hazarika \| This is a personal blog of Pragyan Hazarika. I write about technology, programming, and other things that interest me.	en	programming-languages	robotsllmsaihumans	emailphone	none
computingcanon.com ↗	64 match 2 shared topics	Computing Canon	en	programming-languages	robotsllmsaihumans	emailphone	none
sidneys1.com ↗	64 match 2 shared topics	Sidneys1.com \| A home for all my ramblings on subjects such as programming, cybersecurity, photography, videography, video games, and whatever else I see fit.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mdornseif.io ↗	64 match 2 shared topics	Dr. Maximillian Dornseif - Exploring the World of Software Development	en	programming-languages	robotsllmsaihumans	emailphone	none
ctrpeach.io ↗	63 match 2 shared topics	Kevin Hartman	en	programming-languages	robotsllmsaihumans	emailphone	none
garagelabs.eu ↗	63 match 2 shared topics	ElvenProgrammer \| Welcome to Eugenio Favalli's personal website	European Union 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.