Piperic Business Intelligence
similar sites
‹ profile

Sites similar to cornelius.dev

Cornelius Ukena · ranked by category · tech stack · backlink co-citation
100match
cornelius.io
Cornelius Ukena
4 co-citations1 shared tech2 shared categoryweb-development
64match
boldurean.com
Hi there — I'm Vasilii
2 co-citations1 shared tech2 shared categoryweb-development
59match
kyawthet.com
Kyaw Thet Naing - Full Stack Developer
1 co-citations1 shared tech2 shared categoryweb-development
59match
ivobos.com
My Personal Page
1 co-citations1 shared tech2 shared categoryweb-design-and-html
59match
hayubidowu.com
Hayub Idowu — Blog
1 co-citations1 shared tech2 shared categoryweb-design-and-html
59match
marcolucci.dev
Marco Lucci
1 co-citations1 shared tech2 shared categoryweb-development
58match
cbergen.com
Cornelius Bergen
0 co-citations1 shared tech2 shared categoryweb-development
58match
jakearchibald.com
Blog - JakeArchibald.com
2 co-citations1 shared tech2 shared categorytechnology-and-computing
58match
bambiui.com
bambiui - Source-distributed UI components
2 co-citations1 shared tech1 shared categorysoftware-and-applications
57match
guideline-journey.com
An Interactive Web Accessibility Experience
1 co-citations1 shared tech2 shared categoryweb-design-and-html
56match
hazecss.com
Home | HazeCSS
1 co-citations1 shared tech2 shared categoryweb-design-and-html
56match
gulalan.com
atagulalan
1 co-citations1 shared tech2 shared categoryweb-development
56match
adityachandoo.com
Aditya K. Chandoo
1 co-citations1 shared tech2 shared categoryweb-design-and-html
55match
iyadh.dev
Mohamed Gallah - Portfolio
1 co-citations1 shared tech2 shared categoryweb-design-and-html
55match
jeffreyfei.com
Jeffrey's Homepage
1 co-citations1 shared tech2 shared categoryweb-design-and-html
55match
jggarcon.com
Hi, I'm JG Garçon! 🇧🇷 🇨🇦 | Notion
1 co-citations1 shared tech2 shared categoryweb-design-and-html
55match
deziddon.com
DezIddon.com • Still not better than Jesus
1 co-citations1 shared tech2 shared categoryweb-design-and-html
54match
cesque.com
Daniel James
1 co-citations1 shared tech2 shared categoryweb-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.