Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jeffirvine.dev

Very Hireable · ranked by category · tech stack · backlink co-citation
54match
devhirepros.com
Dev Hire
0 co-citations1 shared tech1 shared categorycareers
50match
julienpfa.ai
JulienPFA Assistant
0 co-citations1 shared tech1 shared categorycareers
50match
julienpfa.com
JulienPFA Assistant
0 co-citations1 shared tech1 shared categorycareers
50match
iwinosa.dev
Igbinosa Iwinosa Godsfavour | Get to know Iwinosa
0 co-citations1 shared tech1 shared categorycareers
50match
jacobasmith.com
Jacob's Site
0 co-citations1 shared tech1 shared categorycareers
50match
jamiekitson.com
Jamie Kitson's CV
0 co-citations1 shared tech1 shared categorycareers
50match
jayjhamb.com
Jay Jhamb - Portfolio
0 co-citations1 shared tech1 shared categorycareers
50match
jobo-job.com
Spotify Career Opportunity - Exclusive Positions
0 co-citations1 shared tech1 shared categoryjob-search
50match
jobsoffsite.com
Jobs - Track Your Offsite Workers
0 co-citations1 shared tech1 shared categoryjob-search
50match
automation-lab.dev
Rohit Kumar Gautam | SDET & QA Engineer
0 co-citations1 shared tech1 shared categorycareers
50match
0xjac.com
0xjac
0 co-citations1 shared tech1 shared categorycareers
50match
aaconnecto.com
USA Part-Time Talent Platform
0 co-citations1 shared tech1 shared categoryjob-search
50match
aakankshajaiswal.com
Aakanksha Jaiswal - Backend Engineer | Software Engineer
0 co-citations1 shared tech1 shared categorycareers
50match
applicationplayforfree.com
Freelancer Progression Hub
0 co-citations1 shared tech1 shared categorycareers
50match
bangawebdev.com
Jagdeep Singh - Senior Laravel & E-commerce Developer | Remote Worldwide
0 co-citations1 shared tech1 shared categorycareers
50match
cfafoothill.com
Chick-fil-A Foothill Ranch
0 co-citations1 shared tech1 shared categorycareers
50match
chancesquires.com
Chance Squires
0 co-citations1 shared tech1 shared categorycareers
50match
devluka.com
Luka Tsiklauri — Full-Stack Engineer
0 co-citations1 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.