Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jaricheta.com

Jason Aricheta · ranked by category · tech stack · backlink co-citation
65match
haydencho.com
Hayden Cho Web Portfolio
3 co-citations2 shared tech1 shared categoryweb-development
65match
mattmalane.dev
Matthew Malane
3 co-citations2 shared tech1 shared categorytechnology-and-computing
63match
hamzabekkaoui.com
Hamza Bekkaoui
2 co-citations2 shared tech2 shared categoryweb-development
63match
devondcl.com
Devon Portfolio
2 co-citations2 shared tech2 shared categoryweb-development
58match
kejingli.com
Kejing Li · Full-Stack Engineer
2 co-citations2 shared tech2 shared categoryweb-development
58match
jacob-deaton.com
Jacob Deaton's Portfolio
2 co-citations2 shared tech2 shared categoryprogramming-languages
58match
jasminealabi.com
Jasmine's Portfolio Website
2 co-citations2 shared tech2 shared categoryprogramming-languages
58match
jmespana.dev
Jorge España - Portfolio
2 co-citations2 shared tech2 shared categorytechnology-and-computing
58match
canaangifford.com
Canaan Gifford
2 co-citations2 shared tech2 shared categoryweb-development
58match
geodow.com
Portfolio Website
2 co-citations2 shared tech2 shared categorytechnology-and-computing
58match
geoffjay.com
geoffjay - personal sites
2 co-citations2 shared tech2 shared categoryweb-development
58match
anumeya.com
Anumeya Sehgal
3 co-citations2 shared tech2 shared categorytechnology-and-computing
58match
jasonmanzara.com
Jason Manzara
2 co-citations2 shared tech1 shared categoryweb-development
56match
jasonpedder.com
Jason Pedder
1 co-citations2 shared tech2 shared categoryweb-development
55match
joeri.dev
Joeri Smits
2 co-citations2 shared tech2 shared categorytechnology-and-computing
55match
felissedano.com
Felis Sedano - About Me
2 co-citations2 shared tech2 shared categorytechnology-and-computing
55match
georgeo.dev
George | Software Developer
2 co-citations2 shared tech2 shared categoryweb-development
55match
kylewchang.com
Kyle Chang
3 co-citations0 shared tech2 shared categorytechnology-and-computing

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.