Piperic Business Intelligence
similar sites
‹ profile

Sites similar to bradwight.com

Home | Brad Wight · ranked by category · tech stack · backlink co-citation
82match
malak.dev
Home | Malak Tayeh
1 co-citations3 shared tech1 shared categoryweb-development
78match
jirifriedrich.com
Jiri Friedrich - My personal blog
1 co-citations3 shared tech1 shared categoryweb-development
73match
fcamatti.com
Home | Gatsby Default Starter
1 co-citations2 shared tech1 shared categoryweb-development
70match
elidrin.com
Home | Elidrin
1 co-citations3 shared tech0 shared categorysoftware-and-applications
69match
juliacatalano.com
Home | Julia Catalano
1 co-citations3 shared tech0 shared categoryprogramming-languages
68match
eleanormurguia.com
Eleanor Murguia | Eleanor Murguia
1 co-citations3 shared tech1 shared categorytechnology-and-computing
65match
joabundis.com
Jorge Abundis
1 co-citations3 shared tech0 shared categorytechnology-and-computing
56match
hitarthasrani.com
All posts | Hitarth Asrani
1 co-citations2 shared tech0 shared categorycloud-computing
56match
hksay.com
Home | SAY
0 co-citations3 shared tech1 shared categoryweb-development
56match
bazor.dev
Home | bazor.dev
0 co-citations3 shared tech1 shared categoryweb-development
55match
bchachaj.com
Home | Ben Chachaj
1 co-citations2 shared tech0 shared categorytechnology-and-computing
55match
fikajs.com
Home | FikaJS
0 co-citations3 shared tech1 shared categoryweb-development
55match
elierhernandez.com
Home | Elier H.
0 co-citations3 shared tech1 shared categoryweb-development
54match
kelseyyim.com
Home | Kelsey Yim
0 co-citations3 shared tech1 shared categoryprogramming-languages
54match
joesams.com
Home | Joseph Sams
0 co-citations3 shared tech1 shared categoryweb-development
54match
allclassweb.com
Home | All Class Web
0 co-citations3 shared tech1 shared categoryweb-development
53match
hnafar.com
All posts | Hamid Nafar's Blog
1 co-citations2 shared tech1 shared categorytechnology-and-computing
53match
filippolivorno.com
Filippo Livorno Portfolio
1 co-citations3 shared tech1 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.