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mbi1955: learning some new stuff – RaspberryPi / Computer Vision / Sound-Processing with Python / Statistics / Signal Processing — 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
statisticalcomputing.org ↗	64 match 2 shared topics	SOCR: Statistics Online Computational Resource	en	technology-and-computing	robotsllmsaihumans	emailphone	none
statisticsresource.org ↗	64 match 2 shared topics	SOCR: Statistics Online Computational Resource	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mathtutor.solutions ↗	63 match 2 shared topics	Good News – I'm trying to learn some coding basics and data science principals. I post a weekly report discussing what I learned. Enjoy.	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
currentlycompiling.com ↗	63 match 2 shared topics	CurrentlyCompiling – Code Chronicles: Exploring Computer Science and Tech News	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	full · 12
andreaskapsalis.tech ↗	63 match 2 shared topics	Andreas Kapsalis \| Computer Engineering Student	Greece~ en	programming-languages	robotsllmsaihumans	emailphone	none
gangwang.org ↗	63 match 2 shared topics	Gang Wang – Digitalization \| Computational Science	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
deborahhaywood.com ↗	63 match 2 shared topics	bluebones.net – Adventures in Computer Programming – bakert@gmail.com	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
berksoftware.com ↗	63 match 2 shared topics	Berk Köprücü \| Distributed computing with Java and Kotlin	en	programming-languages	robotsllmsaihumans	emailphone	none
amitavadlamudi.net ↗	63 match 2 shared topics	Amita Vadlamudi \| Computer Programming Engineer	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
marc-richter.info ↗	62 match 2 shared topics	Marc Richter's personal site – About Linux, programming in Python and Music	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
woodyfolsom.net ↗	62 match 2 shared topics	Woody Folsom – Professional Profile	en	programming-languages	robotsllmsaihumans	emailphone	none
cslib.io ↗	62 match 2 shared topics	A Focused Effort on Formalizing Computer Science in Lean	en	technology-and-computing	robotsllmsaihumans	emailphone	none
getsetproject.com ↗	62 match 2 shared topics	A Gateway to Computer Science Projects	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ndacm.dev ↗	62 match 2 shared topics	Notre Dame Computer Club (ACM Student Chapter)	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
alexvilvert.net ↗	62 match 2 shared topics	Alex Vilvert - Computer Science Professor	en	technology-and-computing	robotsllmsaihumans	emailphone	none
fayreforest.net ↗	62 match 2 shared topics	My Bloody Blog! – Random stuff about my strange world	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
neas.dev ↗	62 match 2 shared topics	Always Learning \| Perpetual Learning	en	programming-languages	robotsllmsaihumans	emailphone	none
andrewsrobinson.com ↗	62 match 2 shared topics	Andrew Robinson - Computer Engineer	en	programming-languages	robotsllmsaihumans	email phone	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.