Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to artcodes.dev

Arthur Strang - Software Developer · ranked by shared content topics & relevance
100match
arthurpenteado.com
Arthur Strang - Software Developer
1 shared topicstechnology-and-computing
78match
theoneamin.com
theoneamin - Software Developer
1 shared topicstechnology-and-computing
76match
mattrudder.com
Matt Rudder | Software Developer
1 shared topicstechnology-and-computing
76match
robcardy.com
Rob Cardy — Software Developer
1 shared topicstechnology-and-computing
76match
advaitaamrit.tech
Advaita Amrit - Software Developer
1 shared topicstechnology-and-computing
75match
rohanamjad.com
Rohan Amjad - Software Developer Portfolio
1 shared topicstechnology-and-computing
74match
adamcthompson.com
Adam C Thompson - Software Developer
1 shared topicstechnology-and-computing
74match
djenriquez.dev
Dexter Jethro Enriquez — Software Developer
1 shared topicstechnology-and-computing
73match
bobconlon.com
Bob Conlon - Lead Software Developer
1 shared topicstechnology-and-computing
73match
adampisula.tech
Adam Pisula | Software Developer
1 shared topicstechnology-and-computing
73match
adrianrus.net
Adrian Rus – Software Developer | Tech enthusiast
1 shared topicstechnology-and-computing
73match
roser.dev
Jonas Roser - Senior Software Developer & MedTech Specialist
1 shared topicstechnology-and-computing
73match
softdevlead.com
Developers Zone | Software Development Lead
1 shared topicstechnology-and-computing
73match
kulina.dev
broken-bytes | Marcel Kulina — Software Developer
1 shared topicstechnology-and-computing
72match
algocodingexperts.com
Algo Coding Experts | Your Software Development partner
1 shared topicstechnology-and-computing
72match
sohagmalik.com
Sohag Malik | Software Developer & Trader
1 shared topicstechnology-and-computing
72match
robertohuertas.com
Software Development | Roberto Huertas
1 shared topicstechnology-and-computing
72match
alexanderschroeder.net
Highly passionate software developer in Oslo, Norway | Alexander Krivács Schrøder
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.