Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to bilaltas.net

Bilal TAS | Team Leader, JavaScript Lover, Full-Stack Engineer · ranked by shared content topics & relevance
74match
alexandreakira.dev
Alexandre Akira - Senior Full-Stack Engineer
1 shared topicstechnology-and-computing
73match
andymcsherry.com
Andy McSherry | Mobile-Focused, Full-Stack Engineer
1 shared topicstechnology-and-computing
73match
softwareengineerportfolio.com
Ryan | Full-stack Engineer
1 shared topicstechnology-and-computing
72match
matovu-farid.com
Farid Matovu — Full-Stack Engineer
1 shared topicstechnology-and-computing
72match
bmteo.com
Benjamin Teo - Full-Stack Engineer
1 shared topicstechnology-and-computing
71match
a2n.dev
Alan Bouteiller - Product Engineer & Full-Stack Developer
1 shared topicstechnology-and-computing
70match
ashchristie.com
Ashton Christie — Full-Stack Software Engineer
1 shared topicstechnology-and-computing
70match
mattlaux.com
Matt Laux — Full-Stack Engineer & Technical Co-Founder
1 shared topicstechnology-and-computing
70match
kylerobins.com
Kyle Robins · DevOps & Full Stack Engineer
1 shared topicstechnology-and-computing
69match
kyrostack.com
KyroStack – Full-Stack Engineering & Business Solutions
1 shared topicstechnology-and-computing
69match
nfeld.com
Nikolay Feldman | Full-Stack Engineer
1 shared topicstechnology-and-computing
69match
alex-rios.me
Alejandro Rios — Full-Stack Engineer
1 shared topicstechnology-and-computing
69match
massafolio.dev
Massa Coulibaly — Full-Stack & Forward-Deployed Engineer
1 shared topicstechnology-and-computing
69match
alexpereira.dev
Alex Pereira - Senior Full-Stack Engineer
1 shared topicstechnology-and-computing
69match
andrewhouser.me
Front-end Engineering Leader
1 shared topicstechnology-and-computing
69match
kylealexbailey.com
Kyle Alexander Bailey | Full-Stack Engineer
1 shared topicstechnology-and-computing
68match
bentownsend.dev
Ben Townsend - Leadership, DevOps & Full-Stack Development
1 shared topicstechnology-and-computing
68match
alexflowers.org
Alejandro Flores Coronado | Full-Stack Engineer
1 shared topicstechnology-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.