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Max Zeitler | Portfolio: Data Science, AI & Software Engineering — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
danieltremer.de ↗	74 match 1 shared topics	Daniel Tremer - AI & Software Engineer	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
balazskocsis.de ↗	71 match 1 shared topics	Balazs Kocsis - Data Scientist & AI Engineer	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
distribooth.de ↗	68 match 1 shared topics	abatisens – Data Science and AI solutions	Germany de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
datenmarktplatz.de ↗	67 match 1 shared topics	Prof: Data Science and Text-based Information Systems (DATEXIS)	Germany de	artificial-intelligence TYPO3	robotsllmsaihumans	emailphone	none
devcamp-wuerzburg.de ↗	66 match 1 shared topics	Mayflower – AI & Data Experts für moderne Softwareentwicklung	Germany de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
dentsplyimplants.de ↗	66 match 1 shared topics	Robert Eisele • Digitization and pragmatic software solutions	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
datennutzen.de ↗	66 match 1 shared topics	Data Science & KI Beratung und Lösungen \| eoda	Germany de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	email phone	none
analytischer-reifegrad.de ↗	66 match 1 shared topics	Data Science & KI Beratung und Lösungen \| eoda	Germany de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	email phone	none
andrekoenig.de ↗	65 match 1 shared topics	André König · Agentic Engineering	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
netzkunst.ch ↗	65 match 1 shared topics	netzkunst.ch · KI-Beratung & Engineering	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
marketingtrainer.ch ↗	65 match 1 shared topics	iNando - KI Experte & Prompt Engineering	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
dasudian.de ↗	65 match 1 shared topics	Dasudian \| Big Data & AI Engine 大数点	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
ironate-tranengineering.ch ↗	65 match 1 shared topics	Ironate · Tran Engineering — AI & Machine Learning Consultant	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
projekte-mias.ch ↗	65 match 1 shared topics	Mias Ehrensperger \| Projektportfolio	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
darkmaxg.de ↗	64 match 1 shared topics	Mark Göricke — Software Developer & AI Explorer	Germany de	artificial-intelligence	robotsllmsaihumans	email phone	none
dennis-pfisterer.de ↗	64 match 1 shared topics	Dennis Pfisterer · Professor und Studiengangsleiter für Data Science und Künstliche Intelligenz	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
vpathai.com ↗	64 match 1 shared topics	VPATH AI: KI-Plattform für Engineering, FMEA & SysML \| VPATH AI	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
danielstaps.de ↗	64 match 1 shared topics	Daniel Staps – AI Engineer	Germany de	artificial-intelligence	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.