Piperic Business Intelligence
similar sites
‹ profile

Sites similar to kylepotts.com

Kyle Potts · ranked by category · tech stack · backlink co-citation
63match
hamzahissa.com
Hamzah Issa | Software Engineering Student
2 co-citations2 shared tech1 shared categorycareers
63match
fedianine.com
Victor Fedianine - CV
2 co-citations2 shared tech1 shared categorycareers
60match
bonaya.com
Bonaya Mudda
3 co-citations2 shared tech1 shared categorycareers
60match
gettechvisa.com
Tech Visa Guide - Compare Global Tech Visa Options
3 co-citations2 shared tech1 shared categorycareers
58match
healthwaze.com
Physician Jobs | Physician Recruiter | Healthwaze
2 co-citations2 shared tech1 shared categorycareers
55match
marcovie.com
Marco Vieira
3 co-citations2 shared tech1 shared categorycareers
53match
devvcat.com
Stanislav Stoyanov
2 co-citations2 shared tech1 shared categorycareers
51match
dieidelores.com
Delores Diei
3 co-citations2 shared tech1 shared categorycareers
50match
hetelek.io
Stergios Hetelekides
3 co-citations1 shared tech0 shared categoryresume-writing-and-advice
50match
fendenow.com
Learn Frontend Development Now
3 co-citations1 shared tech1 shared categorycareers
48match
jhowd.com
Albino Tonnina - Staff Engineering Lead at ASOS - London
2 co-citations2 shared tech1 shared categorycareers
48match
juliajakubczak.com
Julia Jakubczak
3 co-citations2 shared tech1 shared categorycareers
48match
jisrecruitment.com
Jobs In Science: Science Jobs | Temporary & Contract Recruitment
2 co-citations2 shared tech1 shared categoryjob-search
48match
jobsinscience.com
Jobs In Science: Science Jobs | Temporary & Contract Recruitment
2 co-citations2 shared tech1 shared categoryjob-search
47match
jennhsu.com
Projects
3 co-citations1 shared tech2 shared categorycareers
47match
hoavho.com
Hoa Ho’s Site | Thanks for visiting my Site.
3 co-citations2 shared tech0 shared categoryresume-writing-and-advice
46match
javiermino.com
My Resume
3 co-citations2 shared tech1 shared categorycareers
46match
hamzaahmed.dev
Resume
3 co-citations2 shared tech1 shared categorycareers

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.