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Harry Li | 李裕康 — 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
mcli.dev 65 match
2 shared topics
Michael Li | Home en technology-and-computingGatsby robotsllmsaihumans emailphone none
mkumaran.net 64 match
2 shared topics
M Kumaran - Less text, more code en technology-and-computing robotsllmsaihumans emailphone none
kartikarora.me 63 match
2 shared topics
Kartik Arora | Home en technology-and-computing robotsllmsaihumans emailphone partial · 8
mzikmund.dev 63 match
2 shared topics
Martin Zikmund — Open-source Developer, Speaker en programming-languagesWordPress robotsllmsaihumans emailphone none
mzikmund.com 63 match
2 shared topics
Martin Zikmund — Open-source Developer, Speaker en programming-languagesWordPress robotsllmsaihumans emailphone none
nextgen.dev 63 match
2 shared topics
Next Gen Dev en technology-and-computing robotsllmsaihumans emailphone none
0xadb.net 63 match
2 shared topics
0xADB — Aaron Barton en programming-languages robotsllmsaihumans emailphone none
mylifeindev.com 63 match
2 shared topics
My Life in Dev en technology-and-computing robotsllmsaihumans emailphone none
mytechtoday.com 63 match
2 shared topics
Mytechtoday en technology-and-computingReaction Commerce robotsllmsaihumans emailphone none
simonharrer.com 63 match
2 shared topics
Simon Harrer Germany~ en technology-and-computing robotsllmsaihumans emailphone none
mehrdad.me 63 match
2 shared topics
Mehrdad Afshari | mehr.dad en programming-languages robotsllmsaihumans emailphone none
kailashsblogs.com 63 match
2 shared topics
KAILASH'S BLOGS en technology-and-computing robotsllmsaihumans emailphone none
centanomics.dev 63 match
2 shared topics
Portfolio | Centanomics en programming-languages robotsllmsaihumans emailphone none
singhajit.com 63 match
2 shared topics
Ajit Singh - Software Engineering Blog en programming-languagesSitecore robotsllmsaihumans emailphone none
nathanbutler.dev 63 match
2 shared topics
Nathan Butler - .NET & C# Software Engineer en technology-and-computing robotsllmsaihumans emailphone none
jzhang.dev 63 match
2 shared topics
Jerry Zhang en programming-languages robotsllmsaihumans emailphone none
kendall-kelly.com 63 match
2 shared topics
Kendall’s Dev Journal | A recent computer science graduate’s journey into building production-ready multi-tier applications. Documenting lessons learned, architectural decisions, and real-world development challenges as I grow from theory to practice. en technology-and-computing robotsllmsaihumans emailphone none
3bbas.dev 63 match
2 shared topics
Ahmed Abbas - Portfolio en programming-languages robotsllmsaihumans emailphone partial · 8

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.