Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to mbogel.com

Matthew Bogel – Full Stack Developer with a Specialty in Python and Linux · ranked by shared content topics & relevance
66match
ronjwheeler.com
Ron Wheeler – Python, Technology, and Life
1 shared topicsprogramming-languages
66match
andrewgarcia.tech
Andrew Garcia – Programmer & Developer Advocate
1 shared topicsprogramming-languages
66match
arthurraposo.com
Arthur Raposo – Senior Java Developer
1 shared topicsprogramming-languages
66match
rolin.dev
Rolin Bos – Developer | Teacher | Entrepreneur
1 shared topicsprogramming-languages
65match
guber.dev
Michael Guber | .NET & Python Developer
1 shared topicsprogramming-languages
65match
guberdev.com
Michael Guber | .NET & Python Developer
1 shared topicsprogramming-languages
65match
247python.com
247Python – The Python Ecosystem
1 shared topicsprogramming-languages
65match
advancedpython.dev
Advanced Python Development
1 shared topicsprogramming-languages
65match
cmdlinetips.com
Python and R Tips - Learn Data Science with Python and R
1 shared topicsprogramming-languages
65match
software-development.co.uk 🇬🇧
Software Development – Behind the scenes
1 shared topicsprogramming-languages
64match
iolevel.com
iolevel – Next Level Technologies
1 shared topicsprogramming-languages
64match
nevadastart.com
Nevada Start | I’m a software developer and sometimes musician, working mainly with Ruby and Javascript.
1 shared topicsprogramming-languages
64match
agedata.cfd
ETL with Python
1 shared topicsprogramming-languages
64match
iostutorialjunction.com
iOSTutorialJunction – Hub of iOS app development tutorials
1 shared topicsprogramming-languages
64match
dogtrainingskills.com
1000sheets.com – A big roll full of fun
1 shared topicsprogramming-languages
64match
krook.dev
Robert Krook - Haskell Developer in Gothenburg
1 shared topicsprogramming-languages
64match
beginpy.org
Python starts here! – Begin Python
1 shared topicsprogramming-languages
64match
ksingde.com
Karan Singde – Developer Evolution
1 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.