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Nikolai Weibull on Wax and Silicone — 12 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
bergsoe.net ↗	60 match 2 shared topics	Vilhelm Bergsøe - Home	sv	technology-and-computing	robotsllmsaihumans	emailphone	none
johankanngard.net ↗	31 match 1 shared topics	Johan Känngård – Running, coding and mind dumps	sv	technology-and-computing Weebly	robotsllmsaihumans	emailphone	none
kebni.com ↗	30 match 1 shared topics	Kebni - Stabilizing technologies for critical applications - Kebni	sv	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
erikkarlsson.net ↗	21 match 1 shared topics	Erik Karlsson IT AB – Android developer consultant	sv	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
johanhermansson.net ↗	20 match 1 shared topics	Johan Hermansson – Web developer who says random things	sv	web-development WordPress	robotsllmsaihumans	emailphone	none
aplusstats.com ↗	20 match 1 shared topics	Login to SmarterStats - SmarterStats	sv	software-and-applications	robotsllmsaihumans	emailphone	none
danieleriksen.com ↗	20 match 1 shared topics	Daniel Eriksen \| Daniel	sv	technology-and-computing	robotsllmsaihumans	emailphone	none
hemrin.com ↗	20 match 1 shared topics	Henrik Hemrin personal website - Hemrin	sv	technology-and-computing Joomla	robotsllmsaihumans	emailphone	none
omarogaili.com ↗	20 match 1 shared topics	Systemutvecklare – en central term för din yrkesroll	sv	programming-languages WordPress	robots llmsaihumans	emailphone	none
omarzum.com ↗	20 match 1 shared topics	omarzum	sv	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
johanlund.dev ↗	15 match 1 shared topics	Johan Lund · Portfölj	sv	technology-and-computing	robotsllmsaihumans	emailphone	none
hemistrian.com ↗	12 match 1 shared topics	Home \| hemistrian.com	sv	technology-and-computing	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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.