Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to akashlayal.dev

Akash Layal / Sherlock – Full Stack Developer · ranked by shared content topics & relevance
78match
sherertz.com
Ben Sherertz - Full Stack Developer
2 shared topicsweb-development
77match
sharjeelafzaal.com
Muhammad Sharjeel – Full Stack Developer
2 shared topicsweb-development
76match
moizhassan.dev
Moiz Hassan | Full Stack Developer
2 shared topicsweb-development
76match
maciejziemichod.com
Maciej Ziemichod - Full stack developer
2 shared topicsweb-development
75match
andrewzhuk.com
Andrew Zhuk - Full Stack Developer
2 shared topicsweb-development
75match
anirudrarayamajhi.com
AJ Rayamajhi — Full Stack Developer
2 shared topicsweb-development
75match
batureren.com
Batur Eren — Full Stack Developer
2 shared topicsweb-development
75match
magfar.com
Magfar - Full Stack Developer
2 shared topicsweb-development
75match
shivanandpatil.com
Home | Shivanand Patil - Full Stack Developer
2 shared topicsweb-development
75match
anirbansengupta.com
Anirban Sengupta | Full Stack Developer
2 shared topicsweb-development
75match
anirban.dev
Anirban Sengupta | Full Stack Developer
2 shared topicsweb-development
75match
suraniharsh.com
Surani - A Full Stack developer.
2 shared topicsweb-development
75match
anudeepgi.com
Anudeep | Full-Stack Developer
2 shared topicsweb-development
75match
richdeane.com
Rich Deane || Senior Full Stack Developer & Solutions Engineer
2 shared topicstechnology-and-computing
75match
richdeane.dev
Rich Deane || Senior Full Stack Developer & Solutions Engineer
2 shared topicstechnology-and-computing
75match
pnfdev.com
PNF Dev — Full-Stack Developer
2 shared topicstechnology-and-computing
74match
kobbyowen.com
Kobby Owen - Full Stack Developer
2 shared topicstechnology-and-computing
74match
isocked.com
Michael Wang — Senior Full Stack Developer
2 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.