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Mind Shift alternatives & similar sites

Mijo Barbaric | Technologie · Strategie · Mensch — 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 Technology Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sritec.de ↗	65 match 2 shared topics	SRITec \| Technology in heart, innovation in mind	Germany de	technology-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
spirto.de ↗	65 match 2 shared topics	Christoph Kasmeridis \| Technologie, Produkt, Business und Führung	Germany de	technology-industry	robotsllmsaihumans	emailphone	none
works.technology ↗	64 match 2 shared topics	works technology and innovation consultant	de	management-consulting-industry	robotsllmsaihumans	email phone	none
evolutionplan.at ↗	61 match 2 shared topics	Healthy Growth for the IT and Tech Industry \| evolutionplan®	Austria de	management-consulting-industry HubSpot	robotsllmsaihumans	emailphone	none
delongtec.com ↗	61 match 2 shared topics	DeLong Tec GmbH	de	management-consulting-industry	robots llmsaihumans	emailphone	none
naef.digital ↗	60 match 2 shared topics	Näf Digital — Digitalisierungsberatung für Schweizer Industrie-KMU	de	management-consulting-industry	robots llmsaihumans	emailphone	none
nanoconsult.org ↗	60 match 2 shared topics	Über uns	de	management-consulting-industry Weebly	robotsllmsaihumans	emailphone	none
d-centurio.net ↗	60 match 2 shared topics	Digitale Transformation \| Wir führen durch die digitale Transformation	de	technology-industry WordPress	robotsllmsaihumans	emailphone	none
st4i.de ↗	60 match 2 shared topics	Smart Solutions for Industry AG - Gemeinsam in das digitale Zeitalter	Germany de	technology-industry WordPress	robotsllmsaihumans	emailphone	none
neoverv.org ↗	60 match 2 shared topics	neoverv - Innovation durch Beratung.	de	management-consulting-industry WordPress	robotsllmsaihumans	email phone	none
bauhammerpartner.at ↗	60 match 2 shared topics	Bauhammer & Partner \| Point for Development	Austria de	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
babka-konsult.at ↗	60 match 2 shared topics	Babka-Konsult	Austria de	management-consulting-industry Squarespace	robotsllmsaihumans	email phone	none
bauhammer-partner.at ↗	60 match 2 shared topics	Bauhammer & Partner \| Point for Development	Austria de	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
digital-purity.com ↗	60 match 2 shared topics	digip consulting GmbH	de	management-consulting-industry	robotsllmsaihumans	emailphone	partial · 8
digital-h.net ↗	60 match 2 shared topics	About me - Thomas Hamacher \| Agile Leader \| Business-Coach \| Software Engineer \| Hamburg	de	management-consulting-industry Jimdo	robotsllmsaihumans	email phone	none
digitalhoch4.com ↗	60 match 2 shared topics	Digitalisierung einfach machen!	de	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
ct-f.net ↗	44 match 2 shared topics	consulting & technology felgentreu	de	technology-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
derelefantimraum.com ↗	42 match 2 shared topics	Der Elefant im Raum in der Customer Journey – Revenue Growth durch People, Process & Technology	de	business WordPress WooCommerce	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.