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Score Trajectory Dataset · ranked by shared content topics & relevance
61match
roboticsandenergy.com
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robietherobot.com
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gregneedel.com
Robogreg.com – Projects and Perspectives of Greg Needel
2 shared topicstechnology-and-computing
61match
nevonprojects.com
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2 shared topicstechnology-and-computing
61match
robonutprojects.com
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61match
roboarmblog.com
Simeon Oluwafunmilore Adebola – Hacker. Designer. Researcher
2 shared topicstechnology-and-computing
61match
robogreg.com
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2 shared topicstechnology-and-computing
60match
alexfranchuk.com
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2 shared topicsrobotics
60match
alexkaplan.net
AlexKaplan.com
2 shared topicstechnology-and-computing
60match
alexf.tech
About Me | Alex Franchuk
2 shared topicsrobotics
60match
alfred-polycarpe.com
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2 shared topicsrobotics
60match
andyrofl.net
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2 shared topicsrobotics
60match
abdulelahmulla.org
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2 shared topicstechnology-and-computing
60match
abenstirling.com
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2 shared topicstechnology-and-computing
60match
ben-stringer.dev
Ben Stringer | Autonomy Engineer / Robotics Developer
2 shared topicsrobotics
60match
ben-stringer-engineer.com
Ben Stringer | Autonomy Engineer / Robotics Developer
2 shared topicsrobotics
60match
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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.