Piperic
similar sites
‹ profileTools

Sites similar to carmi.dev

floatingpointer (Jason Carmi) · GitHub · ranked by shared content topics & relevance
68match
kodanux.com
judebeans (James) · GitHub
2 shared topicstechnology-and-computing
67match
gaminggeek.dev
GamingGeek (Jake Ward) · GitHub
2 shared topicstechnology-and-computing
66match
rinarin.dev
Senarin (Harukaze Kotone) · GitHub
2 shared topicstechnology-and-computing
66match
ethanmeier.com
icarus-child (Ethan Meier) · GitHub
2 shared topicstechnology-and-computing
66match
cailen-h.dev
Cailen-H (Cailen Harrap) · GitHub
2 shared topicstechnology-and-computing
66match
gavindistaso.com
GavinDistaso (Gavin Distaso) · GitHub
2 shared topicstechnology-and-computing
66match
rodriados.com
rodriados (Rodrigo Siqueira) · GitHub
2 shared topicstechnology-and-computing
66match
dinukabandara.com
dinukasaminda (Dinuka Bandara) · GitHub
2 shared topicsprogramming-languages
65match
callius.dev
GitHub - callius/target-kt: Target - Functional domain modeling in Kotlin · GitHub
2 shared topicsprogramming-languages
65match
computacious.com
GitHub - oboechick/pyfanfic: OH: This is just python 2.7 fanfic isn't it? · GitHub
2 shared topicsprogramming-languages
64match
monolisa.io
Home | MonoLISA
2 shared topicstechnology-and-computing
63match
commercialhaskell.com
GitHub - commercialhaskell/commercialhaskell: A special interest group for companies and individuals interested in commercial usage of Haskell · GitHub
2 shared topicstechnology-and-computing
62match
hichamelhammouchi.com
Hicham El Hammouchi
2 shared topicstechnology-and-computing
62match
robotlikes.com
jasonrclark.com
2 shared topicsprogramming-languages
62match
symmetism.com
Symmetism · Verify
2 shared topicstechnology-and-computing
62match
roeper.com
Doug Roeper - Converting tea into code
2 shared topicsprogramming-languages
62match
dimiterpetrov.com
Dimiter Petrov
2 shared topicsprogramming-languages
62match
platformruntime.digital
Platform Runtime · Programming Consulting from Manila
2 shared topicsprogramming-languages

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.