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Home - Bora Bey Admin · ranked by category · tech stack · backlink co-citation
86match
aquibmahmood.com
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2 co-citations3 shared tech1 shared categoryweb-development
86match
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85match
joelvargas.dev
Joel Vargas
2 co-citations3 shared tech1 shared categoryweb-development
85match
joemeus.dev
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2 co-citations3 shared tech1 shared categoryweb-development
85match
joemcilroy.com
Joe Mcilroy
2 co-citations3 shared tech1 shared categoryweb-development
85match
joeshields.dev
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85match
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Juliano Coutinho - Full-Stack Developer & Marketing Specialist
2 co-citations3 shared tech1 shared categoryweb-development
85match
kelvindemamiel.com
Kelvin de Mamiel - Software Developer & Designer
2 co-citations3 shared tech1 shared categoryweb-development
85match
kenkiblee.com
Kenny Lee
2 co-citations3 shared tech1 shared categoryweb-development
85match
kennedymaombi.com
Kennedy Maombi
2 co-citations3 shared tech1 shared categoryweb-development
85match
kennethaidoo.com
Kenneth Aidoo | Software Engineer
2 co-citations3 shared tech1 shared categoryweb-development
85match
kennethhau.com
Kenneth Hau / Full-Stack Web Developer
2 co-citations3 shared tech1 shared categoryweb-development
85match
kenzthedev.com
Kenzy
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85match
kentauchi.com
Ken Tauchi - Software Developer
2 co-citations3 shared tech1 shared categoryweb-development
85match
kyawminaung.com
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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.