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Web & Mobile Development · ranked by category · tech stack · backlink co-citation
74match
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68match
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67match
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2 co-citations2 shared tech1 shared categoryweb-development
66match
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2 co-citations3 shared tech1 shared categoryweb-development
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65match
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2 co-citations2 shared tech1 shared categoryweb-development
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kevinold.com
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2 co-citations3 shared tech1 shared categoryweb-development
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devizard.com
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63match
kenurata.com
Ken Urata - Front-end Engineer
2 co-citations2 shared tech1 shared categoryweb-development
63match
jemsonsayre.com
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2 co-citations2 shared tech1 shared categoryweb-development
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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.