Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to apash.tech

Aleksandr Pashchenko — Java Developer & Tech Lead · ranked by shared content topics & relevance
68match
matyikari.dev
Matyi Kari - Full Stack Developer
3 shared topicsweb-development
68match
7-views.com
7-Views - Developers Blog : 7-Views
3 shared topicsweb-development
68match
alexandrenunes.tech
Alexandre Nunes - Developer & Innovator
3 shared topicsweb-development
68match
fardinkhan.com
Farabi - Developer Portfolio
3 shared topicsprogramming-languages
68match
ionutgrad.com
Grad Ionut | Full Stack Developer
3 shared topicsweb-development
67match
ahmetky.dev
Ahmet Kaya — Full Stack Developer
3 shared topicsprogramming-languages
67match
aarohidixit.tech
Aarohi Dixit | CSE Student, Developer & Tech Content Creator
3 shared topicsprogramming-languages
67match
achris.me
A. Christian Toscano: Backend Team Leader & Fullstack Developer
3 shared topicsprogramming-languages
66match
pinestran.com
Pinestran – Java Development
3 shared topicsweb-development
66match
andrewmcodes.dev
Andrew Mason // Senior Full Stack Ruby Developer
3 shared topicsprogramming-languages
66match
asimatasert.dev
Asım Atasert — Developer
3 shared topicsweb-development
66match
ipiyush.com
Piyush Agrawal | A lazy developer on a mission to make life easy.
3 shared topicstechnology-and-computing
66match
adarshchaunal.com
Adarsh Chaunal - .NET Developer | adarshchaunal.com
3 shared topicsweb-development
66match
sofiasosa.dev
Sosa Sofía | FullStack Developer
3 shared topicsweb-development
66match
akshkhurana.com
Aksh Khurana | Full-Stack Developer
3 shared topicsweb-development
66match
roberdanial.com
Rober Danial | Software Developer
3 shared topicstechnology-and-computing
66match
djones-dev.com
Daniel Jones | Full Stack Developer
3 shared topicsweb-development
66match
gregfaaborg.com
Greg Faaborg — software engineer
3 shared topicsweb-development

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.