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50match
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50match
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50match
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50match
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50match
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50match
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50match
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35match
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35match
kyroworks-solutions.com
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35match
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35match
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35match
maktabi-ec.com
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35match
jackyd.com
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35match
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0 co-citations0 shared tech1 shared categoryweb-development
35match
hatami.io
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35match
haubeil.com
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35match
hoffmann-software.dev
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0 co-citations1 shared tech1 shared categoryweb-development
35match
aen-media.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.