Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to armancodes.com

Arman Ahmadi - Backend Engineer | Arman Ahmadi · ranked by shared content topics & relevance
100match
arman-ahmadi.com
Arman Ahmadi - Backend Engineer | Arman Ahmadi
2 shared topicstechnology-and-computing
72match
nikhilhegde.com
Nikhil Hegde | Backend Engineer
2 shared topicsprogramming-languages
68match
1xengineer.dev
1xEngineer
2 shared topicstechnology-and-computing
68match
borisi.com
Boris - Software Engineer
2 shared topicsprogramming-languages
68match
ismailmushraf.com
Ismail Musharaf | Software Engineer
2 shared topicstechnology-and-computing
67match
robalarcon.com
Roberto Alarcon - Senior Software Engineer
2 shared topicstechnology-and-computing
67match
softwareengineeringstandard.com
SES - Software Engineering Standard
2 shared topicstechnology-and-computing
67match
cloudperformancetest.com
The Performance Engineering Blog
2 shared topicsprogramming-languages
67match
iosifbulgaru.com
Iosif Bulgaru | Software Engineer
2 shared topicstechnology-and-computing
67match
nodexploit.com
Nodexploit.com | Software engineering stuff
2 shared topicstechnology-and-computing
67match
iosengineeringpro.com
iOS Engineering Pro
2 shared topicsprogramming-languages
67match
kyleedward.com
Software Engineer | Game Developer - Kyle Edward
2 shared topicstechnology-and-computing
67match
gregbak.com
Greg Bąk — Senior Software Engineer
2 shared topicstechnology-and-computing
67match
tomarrell.com
Tom Arrell, Software Engineer
2 shared topicsprogramming-languages
67match
roblao.com
A software engineer's blog by Rob Lao
2 shared topicstechnology-and-computing
67match
aniketray.me
Aniket Ray | Software Engineer
2 shared topicsprogramming-languages
66match
armaanbutt.com
Armaan Butt | From complex code to ancient history, this is my journey through the topics that fascinate me. Written by Armaan Butt, an engineer and curious traveler.
2 shared topicstechnology-and-computing
66match
bluequack.com
OverEngineeredIt
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.