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50match
appytimeforlearning.com
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1 co-citations2 shared tech1 shared categoryeducation
49match
bahamianmathematics.com
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1 co-citations2 shared tech2 shared categoryeducation
45match
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44match
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2 co-citations2 shared tech1 shared categoryeducation
42match
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2 co-citations2 shared tech1 shared categoryeducation
41match
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1 co-citations2 shared tech1 shared categoryeducation
39match
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1 co-citations1 shared tech1 shared categoryeducation
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1 co-citations2 shared tech1 shared categoryeducation
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1 co-citations2 shared tech1 shared categorysecondary-education
37match
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37match
kenkhalouf.com
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37match
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37match
makinibeck.com
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0 co-citations2 shared tech1 shared categoryeducation
37match
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37match
jamielongazel.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.