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Hs Uni alternatives & similar sites

Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg — 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 College Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
fu-berlin.com ↗	69 match 1 shared topics	Freie Universität Berlin: Startseite	de	college-education	robotsllmsaihumans	emailphone	none
hochschulen-berlin.net ↗	68 match 1 shared topics	Hochschulen und Universitäten in Berlin	de	college-education Drupal	robotsllmsaihumans	emailphone	none
tu-ilmenau.com ↗	67 match 1 shared topics	Startseite \| Technische Universität Ilmenau	de	college-education TYPO3	robotsllmsaihumans	emailphone	none
fsjura.com ↗	67 match 1 shared topics	Fachschaft Jura der Universität Mannheim	de	college-education	robotsllmsaihumans	emailphone	none
clinicalpharmacy.me ↗	67 match 1 shared topics	Prof. Dr. Thorsten Lehr \| Universität des Saarlandes	de	college-education TYPO3	robotsllmsaihumans	emailphone	none
hci-studieren.de ↗	66 match 1 shared topics	Universität Siegen	DE de	college-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
career-international.de ↗	66 match 1 shared topics	Career International \| Universität Trier	DE de	college-education TYPO3	robotsllmsaihumans	emailphone	none
tu-ilmenau-transfer.com ↗	65 match 1 shared topics	TU Ilmenau Transfer GmbH \| Technische Universität Ilmenau	de	college-education TYPO3	robotsllmsaihumans	emailphone	none
haw-hamburg.de ↗	65 match 1 shared topics	HAW-Hamburg: HAW Hamburg	DE de	college-education TYPO3	robotsllmsaihumans	emailphone	none
campus-run.de ↗	64 match 1 shared topics	Campus Run und Lauftraining \| Active Campus Konstanz \| more than just sports \| Hochschulsport Konstanz \| AAIA Teilbereiche \| Universitätsverwaltung \| Universität Konstanz	DE de	college-education TYPO3	robotsllmsaihumans	emailphone	none
hochschule-muenchen.com ↗	63 match 1 shared topics	Hochschule München – University of Applied Sciences - Hochschule München	de	college-education	robotsllmsaihumans	emailphone	none
hochschule-muenchen.org ↗	63 match 1 shared topics	Hochschule München – University of Applied Sciences - Hochschule München	de	college-education	robotsllmsaihumans	emailphone	none
hochschulemuenchen.com ↗	63 match 1 shared topics	Hochschule München – University of Applied Sciences - Hochschule München	de	college-education	robotsllmsaihumans	emailphone	none
hochschulemuenchen.org ↗	63 match 1 shared topics	Hochschule München – University of Applied Sciences - Hochschule München	de	college-education	robotsllmsaihumans	emailphone	none
hawm.de ↗	63 match 1 shared topics	Hochschule München – University of Applied Sciences - Hochschule München	DE de	college-education	robotsllmsaihumans	emailphone	none
haw-muenchen.de ↗	63 match 1 shared topics	Hochschule München – University of Applied Sciences - Hochschule München	DE de	college-education	robotsllmsaihumans	emailphone	none
colognegamelab.de ↗	63 match 1 shared topics	Cologne Game Lab – University of Applied Sciences Cologne	DE de	college-education WordPress	robotsllmsaihumans	emailphone	none
core-tum.de ↗	63 match 1 shared topics	Lehrstuhl für Bauprozessmanagement und Immobilienentwicklung - Technische Universität München	DE de	college-education	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.