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 mtburnes.dev

Mtburnes alternatives & similar sites

Michael Burnes | Computer Science — 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
sjccomputerscience.org ↗	74 match 1 shared topics	Computer Science Club	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cshdevs.org ↗	73 match 1 shared topics	Computer Science Hub \| CSH	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cscs.dev ↗	72 match 1 shared topics	College Station Computer Science	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mariobaxter.com ↗	72 match 1 shared topics	Mario Baxter \| Computer Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cschamp.com ↗	71 match 1 shared topics	Master computer science step by step	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jasiek.me ↗	70 match 1 shared topics	journal of recreational computer science	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jashaphillips.com ↗	70 match 1 shared topics	Jasha Phillips - Computer Science Graduate	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jamesvaisman.com ↗	70 match 1 shared topics	James Vaisman - Computer Science Portfolio	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mburkhardt.dev ↗	69 match 1 shared topics	Michael Burkhardt	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csetx.org ↗	69 match 1 shared topics	Computer Science and Engineering Transactions	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csiseverywhere.org ↗	69 match 1 shared topics	csiseverywhere (@csiseverywhere) \| Computer Science is Everywhere	en	technology-and-computing	robots llmsaihumans	emailphone	none
jacquescohen.net ↗	68 match 1 shared topics	Jacques Cohen – Professor Emeritus of Computer Science	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
csitcp.org ↗	68 match 1 shared topics	COMPUTER SCIENCE & INFORMATION TECHNOLOGY (CS & IT)	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csitcp.net ↗	68 match 1 shared topics	COMPUTER SCIENCE & INFORMATION TECHNOLOGY (CS & IT)	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ctang.dev ↗	68 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
jaswanthmadiya.app ↗	68 match 1 shared topics	Jaswanth Madiya \| Computer Science Student & Space Technology Enthusiast	India~ en	technology-and-computing	robotsllmsaihumans	emailphone	none
meacse.org ↗	67 match 1 shared topics	MEACSE - Middle East Association of Computer Science and Engineering	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.