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Revision History - Track Student Writing in Google Docs & Slides · ranked by category · tech stack · backlink co-citation
47match
corely.ai
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1 co-citations3 shared tech2 shared categoryonline-education
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differentiatorapp.com
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genedusa.com
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apexstudies.com
APEX STUDIES
1 co-citations3 shared tech2 shared categoryonline-education
40match
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booklumora.com
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38match
juliereneeryan.com
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1 co-citations1 shared tech2 shared categoryeducation
38match
kjohnsonawomoyi.com
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1 co-citations1 shared tech2 shared categoryeducation
38match
iwacudriveprep.com
IWACU Drive Prep
1 co-citations1 shared tech2 shared categoryonline-education
38match
jasonsiko.com
Jason Paul Siko
1 co-citations1 shared tech2 shared categoryeducation
38match
aperturemindcamp.com
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38match
corinneobryan.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.