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Micalgenus | GyeongSu Han's Github Pages — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
huangqian.org 65 match
1 shared topics
Michael Wong en programming-languages robotsllmsaihumans emailphone none
nelavan.com 64 match
1 shared topics
Nelavan's Personal Portfolio en programming-languages robotsllmsaihumans emailphone none
asticode.com 64 match
1 shared topics
Quentin Renard | Freelance Senior Video Developer (GO & C) en programming-languages robotsllmsaihumans emailphone none
dotnettips.com 64 match
1 shared topics
dotNetTips.com – Improving Code Quality… One Developer at a Time en programming-languagesWordPressWooCommerce robotsllmsaihumans emailphone none
vpankaj.com 63 match
1 shared topics
V Pankaj en programming-languages robotsllmsaihumans emailphone none
vsparrow.com 63 match
1 shared topics
vSPARROW en programming-languagesWordPress robotsllmsaihumans emailphone none
doxmin.com 63 match
1 shared topics
doxmin | Personal Site en programming-languages robotsllmsaihumans emailphone none
gcodesender.com 63 match
1 shared topics
Browser GCode Sender | browserGcodeSender en programming-languages robotsllmsaihumans emailphone none
net2java.com 63 match
1 shared topics
.NET to Java – Java, Kotlin and .NET for recovering .NET Developers en programming-languagesWordPress robotsllmsaihumans emailphone none
siwachter.com 63 match
1 shared topics
Simon Wachter en programming-languages robotsllmsaihumans emailphone none
garyhan.com 63 match
1 shared topics
Home | Gary Han en programming-languagesDrupal robotsllmsaihumans emailphone none
lizziesiegle.com 63 match
1 shared topics
Lizzie Siegle en programming-languages robotsllmsaihumans emailphone partial · 8
skewpixel.com 63 match
1 shared topics
Home | skewpixel en programming-languagesGrav robotsllmsaihumans emailphone none
ertu.dev 62 match
1 shared topics
Ertu's Blog en programming-languages robotsllmsaihumans emailphone none
integrisweb.com 62 match
1 shared topics
Doing It Wrong – learn in public en programming-languagesWordPress robotsllmsaihumans emailphone none
cttm.io 62 match
1 shared topics
Code to the Moon en programming-languages robotsllmsaihumans emailphone none
hypercrypt.com 62 match
1 shared topics
Klaus' thoughts on iOS en programming-languagesGhost robotsllmsaihumans emailphone none
hypercrypt.net 62 match
1 shared topics
Klaus' thoughts on iOS en programming-languagesGhost 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:

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.