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50match
kenthropic.com
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0 co-citations4 shared tech1 shared categorysoftware-and-applications
50match
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50match
gretelarcia.com
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50match
baptest.com
baptest
0 co-citations4 shared tech1 shared categorysoftware-and-applications
50match
cbayquen.com
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0 co-citations4 shared tech1 shared categorytechnology-and-computing
50match
diegoulloa.dev
Diego Ulloa - Fullstack Developer
0 co-citations4 shared tech1 shared categoryweb-development
44match
boian.dev
Home page | Boian.Dev
0 co-citations3 shared tech1 shared categorytechnology-and-computing
44match
kellengary.com
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0 co-citations4 shared tech1 shared categorytechnology-and-computing
44match
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44match
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43match
filekit.dev
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0 co-citations3 shared tech1 shared categorytechnology-and-computing
42match
kevinmayo.com
Kevin Mayo
0 co-citations3 shared tech1 shared categorytechnology-and-computing
42match
mangano.dev
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0 co-citations3 shared tech1 shared categorytechnology-and-computing
42match
jacobhatfield.com
Home - Jake Hatfield
0 co-citations3 shared tech1 shared categorytechnology-and-computing
42match
jake-hatfield.com
Home - Jake Hatfield
0 co-citations3 shared tech1 shared categorytechnology-and-computing
42match
jeffreyjose.com
Jeffrey Jose
0 co-citations3 shared tech1 shared categorytechnology-and-computing
42match
jobaadewumi.com
Joba Adewumi's Portfolio - Home
0 co-citations3 shared tech1 shared categorytechnology-and-computing
42match
joaogomes.dev
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0 co-citations3 shared tech1 shared categoryweb-development

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.