Piperic Business Intelligence
similar sites
‹ profile

Sites similar to boxescn.com

多点箱共享科技(宁波)有限公司 · ranked by category · tech stack · backlink co-citation
92match
ahhaoniu.com
必呼信息科技(上海)有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
91match
cdxam.com
常道喜健康科技(杭州)有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
91match
jehay.com
深圳极海科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
aodacnc.com
东莞奥大机械科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
cdheng-an.com
成都亨安科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
jilinyuneng.com
吉林省誉能科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
jiayoudz.com
佛山市友电子科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
hbyugu.com
河北昱谷科技发展有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
hezejg.com
禾泽精工机械(广州)有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
aibaimei.com
常德艾康生物科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
deyangmy.com
广东得阳门业科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
hf-eso.com
合肥益山禾电子科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
ahtoten.com
安徽爱利讯电子科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
90match
dglantou.com
东莞市蓝拓电子科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
89match
kekangclean.com
科康清洁设备(沧州)有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
89match
aoisz.com
深圳市汉兴自动化科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
89match
fbhuanjing.com
富武汉邦通达环境科技有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards
89match
malidenture.com
浙江玛立义齿有限公司
2 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

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.