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Dan Marsden – Theoretical computer scientist and lover of of monads and string diagrams — 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
deepnet42.com ↗	67 match 2 shared topics	Explore computer science, the universe, and everything! \| DeepNet42	en	technology-and-computing	robotsllmsaihumans	emailphone	none
currentlycompiling.com ↗	67 match 2 shared topics	CurrentlyCompiling – Code Chronicles: Exploring Computer Science and Tech News	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	full · 12
cslib.io ↗	66 match 2 shared topics	A Focused Effort on Formalizing Computer Science in Lean	en	technology-and-computing	robotsllmsaihumans	emailphone	none
d9rick.org ↗	66 match 2 shared topics	Derick Walker — Software Engineer \| USC Computer Science	en	programming-languages	robotsllmsaihumans	emailphone	none
cscrunch.com ↗	66 match 2 shared topics	CS Crunch \| The mad ramblings of a Computer Scientist bent on world domination...	en	programming-languages Drupal	robotsllmsaihumans	emailphone	none
dougturnbull.org ↗	65 match 2 shared topics	Doug Turnbull – Professor of Computer Science at Ithaca College	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
getsetproject.com ↗	65 match 2 shared topics	A Gateway to Computer Science Projects	en	technology-and-computing	robotsllmsaihumans	emailphone	none
addithurston.com ↗	65 match 2 shared topics	Addison Thurston — Computer Science, SLU	en	technology-and-computing	robotsllmsaihumans	emailphone	none
4dpiecharts.com ↗	65 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
datajazzdave.com ↗	65 match 2 shared topics	Data Scientist \| Dave Ramsey \| PHL \| blog	en	technology-and-computing Wix	robots llmsaihumans	emailphone	none
daveramseymusic.com ↗	65 match 2 shared topics	Data Scientist \| Dave Ramsey \| PHL \| blog	en	technology-and-computing Wix	robots llmsaihumans	emailphone	none
deancov.com ↗	65 match 2 shared topics	Dean Covrigaru \| Computer Science Portfolio	en	programming-languages	robotsllmsaihumans	emailphone	none
dnbff.com ↗	65 match 2 shared topics	CodeReclaimers, LLC · Scientific computing, computational geometry, neuroevolution	United States~ en	programming-languages	robotsllmsaihumans	emailphone	none
zhangineer.com ↗	64 match 2 shared topics	Sascha´s Thoughts – Student and aspiring software engineer sharing projects, systems thinking, and reflections on building.	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alexander-komar.pro ↗	64 match 2 shared topics	Alexander Komar - PhD Computer Graphics Expert \| Freelance Developer	en	programming-languages Spree Commerce	robotsllmsaihumans	emailphone	none
1mon.fun ↗	64 match 2 shared topics	1 – mon	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
deborahhaywood.com ↗	64 match 2 shared topics	bluebones.net – Adventures in Computer Programming – bakert@gmail.com	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
codecogs.com ↗	64 match 2 shared topics	CodeCogs \| Open Source Scientific Library (C/C++, .NET, Excel)	en	programming-languages	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.