Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to nurkert.de

Niko Burkert | Full Stack Developer, Creative & Drone Operator in Ulm · ranked by shared content topics & relevance
69match
pikcode.de 🇩🇪
Mikayil - Full-Stack Developer | Portfolio and Blog
1 shared topicsweb-development
68match
hit-services.app
Hüller IT-Services – Consulting & Full Stack Development
1 shared topicsweb-development
68match
a-complex-world.com
A Complex World — Full Stack Development
1 shared topicsweb-development
67match
ta-software-solutions.de 🇩🇪
Tobias Andraschko - Full-Stack Web Developer & Software Engineer
1 shared topicsweb-development
67match
rieger-networks.de 🇩🇪
Pixel Empire - Ihr Fullstack Developer aus Wasserburg am Inn
1 shared topicsweb-development
66match
netcodev.de 🇩🇪
netcodev.de | Digital Architect & Fullstack Developer
1 shared topicsweb-development
66match
sfalter.de 🇩🇪
Sebastian Falter – Software Developer
1 shared topicsweb-development
66match
nbartnick.de 🇩🇪
Nils Bartnick - Software Developer
1 shared topicsweb-development
66match
phillipconrad.de 🇩🇪
Developer Portfolio
1 shared topicsweb-development
66match
quizpoker.de 🇩🇪
Dominik Zoyke - Interactive Developer
1 shared topicsweb-development
66match
seo-essen.de 🇩🇪
SEO-Tool Developer: Daniel Abromeit {Portfolio}
1 shared topicsweb-development
66match
seo-koeln.de 🇩🇪
SEO-Tool Developer: Daniel Abromeit {Portfolio}
1 shared topicsweb-development
65match
root-itsolutions.de 🇩🇪
Jens Uwe Becker | Full Stack Entwickler
1 shared topicsweb-development
65match
servrox-solutions.de 🇩🇪
servrox solutions - Full Service Web3 Development
1 shared topicsweb-development
65match
titusnachtwey.de 🇩🇪
Titus Nachtwey – Full Stack Entwickler
1 shared topicsweb-development
65match
a-salama.dev
Abdelrahman Salama – Software Developer
1 shared topicsweb-development
65match
softstack.de 🇩🇪
softstack - Your Trusted Web3 Service Partner
1 shared topicsweb-development
65match
openweb-berlin.de 🇩🇪
Ruby on Rails developer
1 shared topicsweb-development

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:

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.