Piperic Business Intelligence
similar sites
‹ profile

Sites similar to janetye.com

Home | Janet Ye · ranked by category · tech stack · backlink co-citation
71match
balghaith.com
Bader Al Ghaith · Home
2 co-citations2 shared tech2 shared categorytechnology-and-computing
70match
jackwaterloo.com
Home | Jack's Site
2 co-citations3 shared tech1 shared categoryweb-development
69match
joelt.io
Home | Joel Tio
2 co-citations2 shared tech2 shared categorytechnology-and-computing
68match
devbudo.com
Home Page
2 co-citations2 shared tech1 shared categorytechnology-and-computing
67match
geoffgodwin.com
Geoff Godwin
2 co-citations2 shared tech2 shared categoryartificial-intelligence
67match
adnanemiri.com
Home | Adnane MIRI
2 co-citations1 shared tech2 shared categoryartificial-intelligence
65match
makiex.com
Muhammad Ali | AI, ML & Backend Engineer | Building Intelligent Systems
2 co-citations2 shared tech2 shared categoryartificial-intelligence
65match
jackgaletti.com
Jack Galetti
2 co-citations1 shared tech2 shared categoryartificial-intelligence
65match
jackie-studio.com
Jackie's Portfolio Site
2 co-citations2 shared tech2 shared categoryartificial-intelligence
65match
jmellado.dev
Joaquin Mellado | Product-minded Software Engineer
2 co-citations2 shared tech2 shared categorysoftware-and-applications
65match
hermanchanai.com
Herman Chan
2 co-citations2 shared tech1 shared categoryartificial-intelligence
65match
hoeltke.com
Fabian Hoeltke
2 co-citations1 shared tech2 shared categoryartificial-intelligence
65match
breidersantacruz.com
Breider Alexander Santacruz | Secure systems, scalable outcomes.
2 co-citations1 shared tech2 shared categoryartificial-intelligence
65match
caymangeiger.com
Cayman Geiger
2 co-citations2 shared tech2 shared categoryartificial-intelligence
65match
cooperkier.com
Cooper Kier
2 co-citations1 shared tech2 shared categoryartificial-intelligence
65match
filipstasinski.com
Filip Stasiński
2 co-citations2 shared tech1 shared categorytechnology-and-computing
64match
hayaa.dev
Home | Haya Mahmoud
2 co-citations2 shared tech1 shared categoryartificial-intelligence
64match
emadgohari.com
Emad | Machine Learning Developer
2 co-citations2 shared tech2 shared categoryartificial-intelligence

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.