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65match
devucont.com
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0 co-citations4 shared tech2 shared categorypower-and-energy-industry
65match
gevenorion.com
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59match
baidstructures.com
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0 co-citations4 shared tech2 shared categorypower-and-energy-industry
55match
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0 co-citations4 shared tech2 shared categorymechanical-and-industrial-engineering-industry
55match
mecatrohm.com
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mecanizadosrovasa.com
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0 co-citations4 shared tech1 shared categorymechanical-and-industrial-engineering-industry
55match
ivycorpsolar.com
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0 co-citations4 shared tech1 shared categorygreen-solutions
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hangulit.com
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greensaltbatteries.com
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0 co-citations4 shared tech1 shared categorygreen-solutions
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greensparkph.com
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greenswats.com
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0 co-citations4 shared tech1 shared categorypower-and-energy-industry
55match
greenwireengineering.com
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0 co-citations4 shared tech1 shared categorypower-and-energy-industry
55match
3beq.com
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0 co-citations4 shared tech1 shared categorypower-and-energy-industry
55match
apbsupply.com
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0 co-citations4 shared tech1 shared categorymechanical-and-industrial-engineering-industry
55match
bagproequip.com
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0 co-citations4 shared tech1 shared categorymanufacturing-industry
55match
bajaturecibo.com
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0 co-citations4 shared tech1 shared categorypower-and-energy-industry
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coreaxiseng.com
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0 co-citations4 shared tech1 shared categorymechanical-and-industrial-engineering-industry

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.