Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to robertlluberes.com

Robert Lluberes | Software Engineer · ranked by shared content topics & relevance
76match
bluefeet.io
Bluefeet - Software Engineering
2 shared topicscloud-computing
76match
domenicodiruocco.com
Domenico Di Ruocco | Software Engineer
2 shared topicstechnology-and-computing
75match
matheofontaine.com
Matheo Fontaine — Software Engineer
2 shared topicscloud-computing
75match
mdobiecki.com
Michał Dobiecki - Senior Software Engineer
2 shared topicscloud-computing
74match
djedotech.com
Eldar Djedovic — Software Engineer
2 shared topicstechnology-and-computing
74match
arnavmazumder.com
Arnav Mazumder - Senior Software Engineer
2 shared topicscloud-computing
74match
farzadjahandar.com
Farzad Jahandar | Software Engineer & Builder
2 shared topicscloud-computing
74match
albertopastormr.com
Alberto Pastor Moreno — Senior Software Engineer
2 shared topicstechnology-and-computing
73match
aaronmurillo.dev
Aaron Murillo | Software Engineer — Data Engineering, DevOps & Full-Stack
2 shared topicscloud-computing
73match
ozytech.co.uk 🇬🇧
OzyTech Ltd — Software Engineering Consultancy | London
2 shared topicscloud-computing
73match
alexanderskrabl.com
Alexander Skrabl - Software Engineer
2 shared topicscloud-computing
73match
bogdan-vaduva.com
Bogdan Vaduva — Cloud Technical Lead & Software Engineer
2 shared topicscloud-computing
72match
matthewkogo.com
Mathew Kogo - Software Engineer
2 shared topicscloud-computing
72match
artur-ampilogov.com
Artur Ampilogov — Software Architect & Senior Full-Stack Engineer
2 shared topicstechnology-and-computing
72match
maxclavel.com
Maxime Clavel (Max Clavel) - Software Engineer
2 shared topicscloud-computing
72match
mattintech.com
Matt Hills | Solution Engineer
2 shared topicstechnology-and-computing
72match
fanonx.com
FanonX — Senior Software Engineer & Founder
2 shared topicstechnology-and-computing
72match
dngioi.com
Gioi Doan | Backend-Focused Software Engineer & Cloud Architect
2 shared topicscloud-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.