Piperic Business Intelligence
similar sites
‹ profile

Sites similar to knivets.com

Dima Knivets · ranked by category · tech stack · backlink co-citation
55match
mattburman.com
Matt Burman
2 co-citations3 shared tech1 shared categorycloud-computing
54match
hendi.io
hendi's blog
2 co-citations2 shared tech1 shared categoryprogramming-languages
52match
celsoft.com
Sean O'Dell
1 co-citations4 shared tech1 shared categoryartificial-intelligence
48match
costapiy.com
Costa Piy
1 co-citations5 shared tech0 shared categoryprogramming-languages
46match
gregbrant.com
Greg Brant
1 co-citations4 shared tech1 shared categorytechnology-and-computing
46match
kenbinlab.com
KenBinLab - Homelab and Life's Journey
1 co-citations3 shared tech1 shared categoryartificial-intelligence
46match
lapitsky.com
Point of Indifference
1 co-citations3 shared tech1 shared categoryinformation-and-network-security
46match
manualandmethod.com
Manual & Method
1 co-citations3 shared tech1 shared categorytechnology-and-computing
46match
jaimevillela.com
Jaime Villela
1 co-citations3 shared tech1 shared categoryartificial-intelligence
46match
jianshiapp.com
All-Weather Media
1 co-citations3 shared tech1 shared categorytechnology-and-computing
46match
hobbiesboards.com
Virtual Artifact
2 co-citations3 shared tech1 shared categorycloud-computing
46match
hogmetrics.com
TrackIT Blog
1 co-citations3 shared tech1 shared categorytechnology-and-computing
46match
corrinely.com
Corrinely
1 co-citations3 shared tech1 shared categorytechnology-and-computing
45match
mangadex.dev
MangaDex DevBlog
2 co-citations2 shared tech1 shared categorytechnology-and-computing
45match
manuelviera.com
Manuel Viera
2 co-citations3 shared tech1 shared categorytechnology-and-computing
45match
jhear.com
Jhear
2 co-citations4 shared tech1 shared categorytechnology-and-computing
43match
joelduncan.io
Joel Duncan
1 co-citations5 shared tech1 shared categoryinformation-and-network-security
43match
medlund.com
Michael Edlund
1 co-citations4 shared tech1 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.