similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to mariobaxter.com

Mariobaxter alternatives & similar sites

Mario Baxter | Computer Scientist — 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
mariobarraza.com ↗	75 match 1 shared topics	Mario Barraza	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cshdevs.org ↗	72 match 1 shared topics	Computer Science Hub \| CSH	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sjccomputerscience.org ↗	72 match 1 shared topics	Computer Science Club	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jamesdstevens.com ↗	71 match 1 shared topics	James Stevens, Ph.D. \| Researcher \| Computer Scientist \| Applied Mathematician \| Retail Investor at large	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cscs.dev ↗	71 match 1 shared topics	College Station Computer Science	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cschamp.com ↗	70 match 1 shared topics	Master computer science step by step	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
cyberia.club ↗	70 match 1 shared topics	Cyberia Computer Club	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jarradgillespie.com ↗	70 match 1 shared topics	Jarrad Gillespie — Computer Scientist, Entrepreneur & Healing Advocate	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csse-journal.org ↗	70 match 1 shared topics	International Journal of Computer Systems Science and Engineering	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csiseverywhere.org ↗	70 match 1 shared topics	csiseverywhere (@csiseverywhere) \| Computer Science is Everywhere	en	technology-and-computing	robots llmsaihumans	emailphone	none
webcomputertech.com ↗	69 match 1 shared topics	Welcome to Web Computer Tech	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
webcomputerworld.com ↗	69 match 1 shared topics	Welcome to Web Computer World	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jasiek.me ↗	69 match 1 shared topics	journal of recreational computer science	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bowseranalytics.com ↗	69 match 1 shared topics	Stephen Bowser \| Data Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jashaphillips.com ↗	69 match 1 shared topics	Jasha Phillips - Computer Science Graduate	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jamesvaisman.com ↗	69 match 1 shared topics	James Vaisman - Computer Science Portfolio	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ctang.dev ↗	69 match 1 shared topics	Charles Tang \| Software Engineer & Computer Science Student	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
jaswanthmadiya.dev ↗	68 match 1 shared topics	Jaswanth Madiya \| Computer Science Student & Space Technology Enthusiast	India~ en	technology-and-computing	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.