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Boston Statics: Dedicated to the Science and Art of How Data Moves. — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
why.degree ↗	64 match 2 shared topics	why.degree \| Articles on the struggle to move from theory to practice, on the new and the old in Computer Science.	en	programming-languages	robotsllmsaihumans	emailphone	none
addithurston.com ↗	64 match 2 shared topics	Addison Thurston — Computer Science, SLU	en	technology-and-computing	robotsllmsaihumans	emailphone	none
currentlycompiling.com ↗	64 match 2 shared topics	CurrentlyCompiling – Code Chronicles: Exploring Computer Science and Tech News	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	full · 12
deepnet42.com ↗	64 match 2 shared topics	Explore computer science, the universe, and everything! \| DeepNet42	en	technology-and-computing	robotsllmsaihumans	emailphone	none
getsetproject.com ↗	64 match 2 shared topics	A Gateway to Computer Science Projects	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0not.net ↗	63 match 2 shared topics	0not -- Programming, hacking, making, and science.	en	programming-languages	robotsllmsaihumans	emailphone	none
mactagg.art ↗	63 match 2 shared topics	Welcom to the Lounge	en	technology-and-computing	robotsllmsaihumans	emailphone	none
starplot.dev ↗	63 match 2 shared topics	Star Charts and Maps of the Sky in Python - Starplot	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kipstrace.com ↗	63 match 2 shared topics	Kip's Trace \| Science, Engineering, and Vroom Vroom	en	technology-and-computing WordPress	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
cslib.io ↗	63 match 2 shared topics	A Focused Effort on Formalizing Computer Science in Lean	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alexvilvert.net ↗	63 match 2 shared topics	Alex Vilvert - Computer Science Professor	en	technology-and-computing	robotsllmsaihumans	emailphone	none
deancov.com ↗	63 match 2 shared topics	Dean Covrigaru \| Computer Science Portfolio	en	programming-languages	robotsllmsaihumans	emailphone	none
alexhorner.cc ↗	63 match 2 shared topics	Alex Horner – Breaker of code, fixer of the same code and writer of even more code	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
squidy.dev ↗	63 match 2 shared topics	Squidy.dev - Software developer exploring systems, reverse engineering, and the art of performant code.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
gangwang.org ↗	63 match 2 shared topics	Gang Wang – Digitalization \| Computational Science	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
kolarclub.com ↗	63 match 2 shared topics	A Blog about Programming and Life Beyond the Screen	en	programming-languages	robotsllmsaihumans	emailphone	none
4dpiecharts.com ↗	62 match 2 shared topics	4D Pie Charts \| Scientific computing, data viz and general geekery, with examples in R and MATLAB.	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.