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Entwickler. Von Menschen, Ideen & Systemen - Lars Tiedermann — 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
strassenaufsicht.at ↗	67 match 1 shared topics	gemba.austria - Menschen- und Organisationsentwicklung	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
entwickler-akademie.de ↗	66 match 1 shared topics	entwickler.de Akademie	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rechnungswesencoach.de ↗	64 match 1 shared topics	Coaching by MM Unterricht und Unternehmensberatung	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
econvolution.de ↗	64 match 1 shared topics	Personalentwicklung, IT Schulungen & IT Projekte	Germany de	vocational-training	robotsllmsaihumans	email phone	none
aufzumziel.at ↗	64 match 1 shared topics	Willkommen - Auf zum Ziel!	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
stimme-und-sprechen.at ↗	64 match 1 shared topics	Sprechtraining Wien - Zentrum für Stimme & Sprechen	Austria de	vocational-training WordPress	robotsllmsaihumans	email phone	none
mein-kaleidoskop.net ↗	64 match 1 shared topics	Willkommen ◇ Training, Coaching und Moderation für Sie persönlich oder für Teams und Gruppen, systemisch, mit der Symbolon-Methode©.	de	vocational-training	robotsllmsaihumans	emailphone	none
praxis-bittermann.de ↗	64 match 1 shared topics	praxis-bittermann – systemisches Berufscoaching	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
toptraining.com ↗	64 match 1 shared topics	TopTraining - Training, Entwicklung & Coaching	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
radhotel-ruhr.de ↗	64 match 1 shared topics	Training bei den Open-Source’lern - Linuxhotel	Germany de	vocational-training WordPress	robotsllmsaihumans	email phone	none
etz-aalen.de ↗	64 match 1 shared topics	etz Aalen - Bildung mit System	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
onteamz.com ↗	64 match 1 shared topics	Azubi Entwicklung	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aevo.education ↗	63 match 1 shared topics	AEVO AusbilderEntwicklung vor Ort	de	vocational-training	robotsllmsaihumans	emailphone	none
pwlh.de ↗	63 match 1 shared topics	Pidinger Werkstätten - Arbeitsplatz für Menschen mit Behinderung	Germany de	vocational-training WordPress	robotsllmsaihumans	email phone	none
coachingplus.at ↗	63 match 1 shared topics	Coaching Ausbildung für Österreich \| Coachingplus \| Training und Empowerment	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
embeddedclub.de ↗	63 match 1 shared topics	MicroConsult \| Embedded Trainings & Coaching	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
embedded-training-consulting.de ↗	63 match 1 shared topics	MicroConsult \| Embedded Trainings & Coaching	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
embedded-coaching.de ↗	63 match 1 shared topics	MicroConsult \| Embedded Trainings & Coaching	Germany de	vocational-training 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.