Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to mscottford.com

M. Scott Ford - Software mender, legacy code whisperer, speaker, instructor. · ranked by shared content topics & relevance
67match
acabello.io
Alejandro Cabello Jiménez | Staff Software Engineer & Python Speaker
2 shared topicsprogramming-languages
66match
jsonobject.com
Taehyeong Lee | Software Engineer
2 shared topicsprogramming-languages
66match
byseansingh.com
Sean Singh — Software Engineer
2 shared topicsprogramming-languages
66match
brucemelo.com
Bruce Melo - Software Engineer
2 shared topicstechnology-and-computing
66match
singhajit.com
Ajit Singh - Software Engineering Blog
2 shared topicsprogramming-languages
66match
justinplane.com
Justin Plane - Software Engineer
2 shared topicstechnology-and-computing
66match
simshaun.com
Shaun - Software Engineer
2 shared topicstechnology-and-computing
66match
the-boris.com
Boris Testov | Senior Software Engineer
2 shared topicstechnology-and-computing
66match
aniketray.me
Aniket Ray | Software Engineer
2 shared topicsprogramming-languages
66match
bugraeren.com
Bugra Eren — Software Engineer
2 shared topicsprogramming-languages
65match
muhfaris.com
Muh Faris — Software Engineer
2 shared topicstechnology-and-computing
65match
techfortalk.uk 🇬🇧
Tech For Talk – A Tech Site for Software Professionals
2 shared topicstechnology-and-computing
65match
techfortalk.co.uk 🇬🇧
Tech For Talk – A Tech Site for Software Professionals
2 shared topicstechnology-and-computing
65match
julianalouback.com
Juliana Louback, software eng.
2 shared topicstechnology-and-computing
65match
builtbyanthony.com
Technical Blog for Software Development and Problem Solving | BuiltByAnthony
2 shared topicsprogramming-languages
65match
businessofcode.tech
Business of Code - Exploring Technology and Software Engineering
2 shared topicsprogramming-languages
65match
albionba.me
A. Bame - Demystifying Software Development
2 shared topicstechnology-and-computing
65match
ahmedelgendy.tech
Ahmed El Gendy - Software Engineer & Android Developer
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.