Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to romiller.com

romiller.com | Program Manager on the .NET team at Microsoft · ranked by shared content topics & relevance
66match
matthicks.com
MattHicks.com – Programming on the Edge
2 shared topicsprogramming-languages
66match
maxhex.com
ProgramMax
2 shared topicsprogramming-languages
65match
thelaziestprogrammer.com
The Laziest Programmer
2 shared topicsprogramming-languages
65match
matlabcoding.com
MATLAB Programming
2 shared topicsprogramming-languages
65match
softwaresailorgames.com
Port Programming
2 shared topicstechnology-and-computing
65match
adnug.net
Adelaide .NET User Group
2 shared topicsprogramming-languages
64match
aboutprogrammers.org
About programmers
2 shared topicstechnology-and-computing
64match
behindthetechz.live
behind the TechZ — Tech & Programming Blog
2 shared topicstechnology-and-computing
64match
theprogrammingbutler.com
The Programming Butler
2 shared topicsprogramming-languages
64match
0not.net
0not -- Programming, hacking, making, and science.
2 shared topicsprogramming-languages
64match
gregors-computer-lab.com
Gregor’s Computer Lab | On this website I talk a bit about computers, programming, tech and much more.
2 shared topicstechnology-and-computing
64match
biologicalspeculation.blog
Tom — There are several blogs on the internet but you're look...
2 shared topicsprogramming-languages
64match
farhanaliqureshi.com
Farhan Ali Qureshi - Programmer, Maker, Techie, Foodie
2 shared topicsprogramming-languages
64match
iprog.dev
Introvert Programmer
2 shared topicsprogramming-languages
64match
andrewbinstock.com
Andrew Binstock | Programmer & Author
2 shared topicsprogramming-languages
64match
robskelly.com
robskelly.com – Programming and GIS
2 shared topicstechnology-and-computing
64match
mobiletechtracker.co.uk 🇬🇧
Home - Scientific Programmer
2 shared topicsprogramming-languages
64match
domslee.com
Dom’s Tech blog | A blog for my programming projects and findings
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.