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Mischiefgadgets alternatives & similar sites

Mischief Gadgets — 18 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
expertennetz-sicherheit.at ↗	61 match 2 shared topics	OES – Österreichisches Expertennetz für Sicherheit	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
i-cognize.net ↗	61 match 2 shared topics	iCOGNIZE GmbH - Biometrische Zutrittskontrolle mittels Handvene	Germany~ de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
i-cognize.org ↗	61 match 2 shared topics	iCOGNIZE GmbH - Biometrische Zutrittskontrolle mittels Handvene	Germany~ de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
red-omega-systems.gmbh ↗	60 match 2 shared topics	IT-Services - Videoüberwachung - Alarmanlagen mit Smarthome - Red Omega Systems	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
magnum-security-agency.eu ↗	60 match 2 shared topics	MagnuM Security Agency \| Ihr Partner für Ihre Sicherheit!	European Union de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nilsfleischhacker.de ↗	32 match 1 shared topics	Nils Fleischhacker	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
mbfingermetrica.com ↗	31 match 1 shared topics	MBfingerMetrica - Innovative Biometrische Sicherheitstechnik	de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
unitedsecurity.at ↗	31 match 1 shared topics	UnitedSecurity.at - Oesterreichische Sicherheitsplattform	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
atis-kba.com ↗	31 match 1 shared topics	Lawful Interception, Big Data, IT-Forensik und Biometrische Analyse	Germany~ de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
atis-systems.com ↗	31 match 1 shared topics	Lawful Interception, Big Data, IT-Forensik und Biometrische Analyse	Germany~ de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
atissystems.com ↗	31 match 1 shared topics	Lawful Interception, Big Data, IT-Forensik und Biometrische Analyse	Germany~ de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cybersecuritycouncil.eu ↗	30 match 1 shared topics	Cybersicherheitsrat Deutschland – Willkommen auf der Seite des Cybersicherheitsrat Deutschland e.V.	European Union de	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
qgroup.net ↗	30 match 1 shared topics	QGroup Cybersicherheit	de	information-and-network-security	robotsllmsaihumans	email phone	none
qrguard.io ↗	30 match 1 shared topics	QRGuard	de	information-and-network-security	robotsllmsaihumans	emailphone	none
qrlab.biz ↗	30 match 1 shared topics	...	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qrlab.info ↗	30 match 1 shared topics	...	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qrlab.net ↗	30 match 1 shared topics	...	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qroniton.net ↗	30 match 1 shared topics	QRONITON	de	information-and-network-security	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.