Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to nairo.dev

Florian Voit - Software Developer, System Administrator · ranked by shared content topics & relevance
74match
andrewhuggins.com
Andrew Huggins - Software developer, and entrepreneur
1 shared topicstechnology-and-computing
74match
ethanmacleod.com
Ethan MacLeod - Software Developer
1 shared topicstechnology-and-computing
74match
amkdeveloper.com
Andrea Leoni - Software Developer
1 shared topicstechnology-and-computing
73match
makvit9.com
Majed Alhadeed — System Administrator
1 shared topicstechnology-and-computing
73match
adrianrus.net
Adrian Rus – Software Developer | Tech enthusiast
1 shared topicstechnology-and-computing
73match
andy-yao.com
Andy Yao | Capital Markets Software Developer
1 shared topicstechnology-and-computing
72match
adamwhitney.net
Adam Whitney - Software Developer, Philosopher, Intergalactic Explorer
1 shared topicstechnology-and-computing
72match
khemputhea.com
Khem Puthea - Software Developer, gamer, and content creator
1 shared topicstechnology-and-computing
72match
paulshaju.com
Paul Shaju — Software Developer
1 shared topicstechnology-and-computing
72match
advaitaamrit.tech
Advaita Amrit - Software Developer
1 shared topicstechnology-and-computing
72match
nachstedt.com
Timo Nachstedt – Developer, Software-Architect, Physicist
1 shared topicstechnology-and-computing
72match
evanarias.dev
Evan Arias | Software Developer Portfolio
1 shared topicstechnology-and-computing
71match
manasdutta.com
Manas Dutta – Software Developer
1 shared topicstechnology-and-computing
71match
naseraleisa.com
Naser Aleisa - Software developer and troubleshooter
1 shared topicstechnology-and-computing
71match
pauloancheta.com
Software Developer
1 shared topicstechnology-and-computing
71match
devx.com
DevX - Software Development News, Tutorials & Resources
1 shared topicstechnology-and-computing
71match
tepliakov.dev
Tepliakov Alexey | Software Development
1 shared topicstechnology-and-computing
71match
devchomp.com
DevChomp – Software Developer, Earth Observation novice, Boardgame Enthusiast
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.