Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jobapplytracker.com

JobTrack — Land your next role without the spreadsheet. · ranked by category · tech stack · backlink co-citation
63match
applywize.net
ApplyWize - AI Job Application Generator
2 co-citations3 shared tech1 shared categoryjob-search
61match
kevinmuniz.dev
Kevin Muniz — Software Engineer
2 co-citations2 shared tech1 shared categorycareers
60match
baqqari.com
Alberto Baqqari | Interactive CV
2 co-citations2 shared tech1 shared categorycareers
60match
job-sphere.com
JobSphere — Place where Career takes the Shape
2 co-citations3 shared tech2 shared categoryjob-search
58match
hambardzumian.com
Senior Full Stack & Mobile Developer - Open To Work |…
2 co-citations3 shared tech1 shared categorycareers
58match
kylegomez.com
Kyle Gomez — Project Manager
2 co-citations2 shared tech1 shared categorycareers
57match
jacob-ball.com
Jacob Ball | Graduate Student & Aspiring Data Scientist
2 co-citations2 shared tech1 shared categorycareers
57match
jansoriano.dev
Jan Vincent Soriano | Software Developer
2 co-citations2 shared tech1 shared categorycareers
57match
jareddev.com
Jared Malcolm · Frontend Engineering
2 co-citations2 shared tech1 shared categorycareers
57match
jiahaoliu.com
Jiahao's Portfolio
2 co-citations2 shared tech1 shared categorycareers
57match
joanmanrubia.com
Joan Manrubia | Senior Frontend Engineer
2 co-citations2 shared tech1 shared categorycareers
57match
bbuccolo.com
Belen
2 co-citations2 shared tech1 shared categorycareers
57match
devkev.dev
Kevin Deveau
2 co-citations2 shared tech1 shared categorycareers
56match
felipekm.dev
Felipe Kautzmann
2 co-citations3 shared tech2 shared categoryjob-search
55match
joelkong.com
Joel Kong Website Portfolio
2 co-citations2 shared tech1 shared categorycareers
55match
jemimatio.com
Bio
2 co-citations2 shared tech1 shared categorycareers
55match
hamzamrs.com
Home | Hamza Mars | Portfolio
2 co-citations2 shared tech1 shared categoryresume-writing-and-advice
55match
anuragkar.dev
Anurag Kar
2 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.