Piperic Business Intelligence
similar sites
‹ profile

Sites similar to declear.dev

declear.io · ranked by category · tech stack · backlink co-citation
42match
joemaffei.dev
About - Joe Maffei
0 co-citations3 shared tech3 shared categoryweb-development
42match
kangmichael.com
Home | Michael Kang
0 co-citations3 shared tech3 shared categorytechnology-and-computing
42match
kennethtrang.com
kennethtrang
0 co-citations3 shared tech3 shared categoryweb-development
42match
jackvd.com
Jack Vo | Software Engineer
0 co-citations3 shared tech3 shared categorytechnology-and-computing
42match
jacobdaddario.com
Jacob Daddario - Software designer, founder, and amateur astronaut
0 co-citations3 shared tech3 shared categoryprogramming-languages
42match
jaims.dev
James Harrell
0 co-citations3 shared tech3 shared categoryprogramming-languages
42match
joaoterroa.dev
João Terroa
0 co-citations3 shared tech3 shared categorytechnology-and-computing
42match
joebiz.dev
Joe Duchnowski
0 co-citations3 shared tech3 shared categoryprogramming-languages
42match
joeduchnowski.com
Joe Duchnowski
0 co-citations3 shared tech3 shared categoryprogramming-languages
42match
hibaw.dev
Home
0 co-citations3 shared tech3 shared categoryweb-development
42match
hugoalexandremf.com
Hugo Fernandes - Software Engineer
0 co-citations3 shared tech3 shared categoryweb-development
42match
adiii.dev
Aditya 🚀
0 co-citations3 shared tech3 shared categorytechnology-and-computing
42match
adil-hussain.com
Adil Hussain | Portfolio
0 co-citations3 shared tech3 shared categoryweb-development
42match
elifnurkarakoc.com
Blog
0 co-citations3 shared tech3 shared categoryweb-development
42match
fc-codeworks.com
Fanourios Chatziathanasiou
0 co-citations3 shared tech3 shared categorytechnology-and-computing
42match
felixyeung.dev
Felix Yeung
0 co-citations3 shared tech3 shared categoryprogramming-languages
42match
georgebemrose.com
George Bemrose
0 co-citations3 shared tech3 shared categoryweb-development
42match
germanjablo.com
German's blog
0 co-citations3 shared tech3 shared categoryprogramming-languages

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.