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Home - BaSyC — 11 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Biological Sciences →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
molecularmachinelearning.com 25 match
1 shared topics
Home - Molecular Machine Learning nl biological-sciencesWordPress robotsllmsaihumans emailphone none
futuresreframed.com 22 match
1 shared topics
Home | Futures Reframed Foundation nl scienceWix robotsllmsaihumans emailphone none
herpsymposium.org 21 match
1 shared topics
Herpsymposium - Biodiversity of Reptiles and Amphibians - Stichting Herpetofauna nl biological-sciences robotsllmsaihumans emailphone none
adelbertvenray.org 20 match
1 shared topics
⌂ Adelbert Venray nl scienceWordPressSpree Commerce robotsllmsaihumans emailphone none
adrianmularczyk.com 20 match
1 shared topics
Adrian Mularczyk nl scienceWordPress robotsllmsaihumans emailphone none
basharing.com 20 match
1 shared topics
Bas Haring nl science robotsllmsaihumans emailphone none
charlotteegger.com 20 match
1 shared topics
Charlotte Egger – Wetenschapscommunicatie nl scienceWordPress robotsllmsaihumans emailphone none
ikbenrobin.com 20 match
1 shared topics
Nacht van de Wetenschap nl science robotsllmsaihumans emailphone none
lab-dsign.com 20 match
1 shared topics
Lab-Dsign - Experts in labontwerp, veiligheid en installaties nl scienceWordPressWooCommerce robotsllmsaihumans emailphone none
adrian-urban.net 15 match
1 shared topics
Adrian Urban nl physicsWordPress robotsllmsaihumans emailphone none
ronaldbierings.com 15 match
1 shared topics
Ronald Bierings nl scienceWordPress robotsllmsaihumans emailphone none

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.