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Chas Mathis - Programmer, Physicist, and Photographer — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ebababi.net ↗	65 match 2 shared topics	ebababi \| Mutters about programming et cetera	en	technology-and-computing	robotsllmsaihumans	emailphone	none
yusufaktan.com ↗	65 match 2 shared topics	Yusuf Aktan \| Exploring topics in data science, machine learning, backend development, and whatever else.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
afonsowrites.dev ↗	65 match 2 shared topics	afonso's little corner - backend, cryptography & ml	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
yulonglong.com ↗	64 match 2 shared topics	Steven Kester Yuwono - National University of Singapore	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
idlabs.app ↗	64 match 2 shared topics	IDlabs - AI Accountability, Programming Guides & Developer Career Advice	en	technology-and-computing	robotsllmsaihumans	emailphone	none
zaerl.com ↗	64 match 2 shared topics	Defeating AIs with a screwdriver – I am a father, a programmer, a lover of languages, and a hacker	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
trivialorwrong.com ↗	64 match 2 shared topics	Trivial or Wrong	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
robertofarias.com ↗	64 match 2 shared topics	Roberto Farías	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trailblazergarage.com ↗	64 match 2 shared topics	Home \| Trailblazer Garage - AI, Data, and Automation Insights	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
laconicml.com ↗	64 match 2 shared topics	Laconicml Home \| Laconic Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
hiddenlayers.tech ↗	64 match 2 shared topics	hiddenlayers.tech - Exploring AI, archaeology, and the layers between.	en	artificial-intelligence Snipcart	robotsllmsaihumans	emailphone	none
christopherpinkston.com ↗	64 match 2 shared topics	Christopher Pinkston	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
kylekaufmanaiml.com ↗	64 match 2 shared topics	Kyle Kaufman - Data Scientist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
futureaiplanet.com ↗	63 match 2 shared topics	Future AI Planet - Latest AI, Tech, and Innovation News	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
fyzion.com ↗	63 match 2 shared topics	Fyzion - Product Discovery Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kute-themes.com ↗	63 match 2 shared topics	SERP Directory of Products and Resources	en	technology-and-computing	robotsllmsaihumans	emailphone	none
l3analytics.com ↗	63 match 2 shared topics	SERP Directory of Products and Resources	en	technology-and-computing	robotsllmsaihumans	emailphone	none
365-thoughts.com ↗	63 match 2 shared topics	Scott Roller – This is my home base to discuss all things Microsoft Dynamics 365 and Power Platform.	en	technology-and-computing 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.