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红包小说网_书友最值得收藏的网络小说阅读网_新红包小说网 · ranked by category · tech stack · backlink co-citation
97match
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3 co-citations2 shared tech2 shared categoryfiction
96match
hcamdc.com
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3 co-citations2 shared tech2 shared categorybooks-and-literature
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diba9.com
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3 co-citations2 shared tech2 shared categorybooks-and-literature
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0vib.com
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3 co-citations2 shared tech2 shared categoryfiction
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2ngon.com
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3 co-citations2 shared tech2 shared categoryfiction
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jiuling8.com
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3 co-citations2 shared tech2 shared categoryfiction
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3mlaq.com
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3 co-citations2 shared tech2 shared categoryfiction
89match
jinshu9.com
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3 co-citations2 shared tech2 shared categoryfiction
88match
maoqi8.com
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3 co-citations2 shared tech2 shared categoryfiction
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caxao.com
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3 co-citations2 shared tech2 shared categoryfiction
80match
aoyue9.com
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3 co-citations2 shared tech2 shared categoryfiction
79match
jianshi8.com
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3 co-citations2 shared tech2 shared categoryfiction
78match
ccccenergy.com
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3 co-citations1 shared tech2 shared categoryfiction
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kejian8.com
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3 co-citations2 shared tech1 shared categoryfiction
62match
fengye6.com
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0 co-citations2 shared tech2 shared categorybooks-and-literature
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2mumu.com
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0 co-citations2 shared tech2 shared categoryfiction
61match
jiangjinjiucom.com
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0 co-citations2 shared tech2 shared categorybooks-and-literature
61match
kejidaima.com
腐书网_书友最值得收藏的网络小说阅读网!
0 co-citations2 shared tech2 shared categoryfiction

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.