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Mind Stack alternatives & similar sites

MindStack — KI-Engineering aus München — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
espero.tech ↗	69 match 2 shared topics	KI-Agenten & Agentic Engineering für Unternehmen \| EsperoTech München	Germany~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
doom.me ↗	68 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
hochfit.net ↗	68 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
katalisator.com ↗	68 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
ahrefs.de ↗	68 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
bietcoin.de ↗	68 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
autosoft-engineering.de ↗	67 match 2 shared topics	Autosoft Engineering - KI-gestützte Softwarelösungen innovativ	Germany de	software-and-applications Weebly	robotsllmsaihumans	emailphone	none
deeplearning.partners ↗	65 match 2 shared topics	hsec – Helmut Hauschild Software Engineering and Consulting	de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bischoff-ventures.ch ↗	65 match 2 shared topics	Bischoff Ventures - Software-Beratung & AI Engineering \| Schweiz	Switzerland de	software-and-applications	robotsllmsaihumans	emailphone	none
campus-itconsulting.de ↗	65 match 2 shared topics	App Agentur München - KI-Prototyp zur App ab 5.000 EUR \| Campus IT	Germany de	software-and-applications	robots llmsaihumans	email phone	none
bastianstrauss.digital ↗	65 match 2 shared topics	Bastian Strauss \| Macher in der Digitalisierung	de	artificial-intelligence	robots llmsaihumans	email phone	none
hephatron.com ↗	65 match 2 shared topics	Hephatron — KI für das Handwerk	de	software-and-applications	robotsllmsaihumans	emailphone	none
appcodeone.de ↗	65 match 2 shared topics	appCode1 — KI-Automatisierung & App-Entwickler Berlin	Germany de	software-and-applications	robotsllmsaihumans	emailphone	none
robert-systems.com ↗	64 match 2 shared topics	Robert Dörries - KI-Einführung & Automatisierung	de	software-and-applications	robotsllmsaihumans	email phone	none
c4rtwork.de ↗	64 match 2 shared topics	Freelance Full-Stack Developer \| Christoph Brucksch	Germany de	software-and-applications	robotsllmsaihumans	email phone	none
rightpointit.com ↗	64 match 2 shared topics	Right Point – Unsere Kompetenz in Software- und KI-Entwicklung für Ihr digitales Wachstum	de	software-and-applications	robotsllmsaihumans	email phone	none
cleva.ch ↗	64 match 2 shared topics	cleva — KI-Agentur Zürich · Massgeschneiderte Software für Schweizer KMU	Switzerland de	software-and-applications	robots llmsaihumans	email phone	none
kawai-labs.com ↗	64 match 2 shared topics	Kawai Labs — KI & Automatisierung für E-Commerce \| Kawai Labs	Germany~ de	software-and-applications	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.