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38match
janda.io
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0 co-citations3 shared tech0 shared categoryartificial-intelligence
38match
bb-unity.com
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0 co-citations3 shared tech0 shared categorysoftware-and-applications
38match
sozial-und-digital.de 🇩🇪
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0 co-citations3 shared tech0 shared categoryinformation-and-network-security
33match
gemeinsam-nicht-einsam.de 🇩🇪
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32match
eltradec.com
Handel - Unsere Linecard
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32match
forstradio.de 🇩🇪
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0 co-citations2 shared tech1 shared categoryconsumer-electronics
32match
nfc-protect.de 🇩🇪
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0 co-citations2 shared tech1 shared categoryconsumer-electronics
30match
dfm-audio.com
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30match
kosmetikstudio-nagelstudio-software.de 🇩🇪
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30match
sinclair-software.de 🇩🇪
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28match
medien-und-unterricht.de 🇩🇪
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0 co-citations3 shared tech0 shared categorysoftware-and-applications
28match
renonetwork.de 🇩🇪
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0 co-citations3 shared tech0 shared categoryweb-design-and-html
26match
diamond-intelligence.com
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0 co-citations3 shared tech0 shared categorytechnology-and-computing
25match
alldaq.com
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0 co-citations0 shared tech1 shared categoryconsumer-electronics
25match
autolackierungen.com
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0 co-citations0 shared tech1 shared categoryconsumer-electronics
25match
bc-acoustique.com
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0 co-citations0 shared tech1 shared categorydigital-audio
25match
ftl-engineering.de 🇩🇪
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0 co-citations0 shared tech1 shared categoryconsumer-electronics
25match
fun-board.de 🇩🇪
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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.