Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to jsatt.com

Jeremy Satterfield · ranked by shared content topics & relevance
66match
jsmoog.com
Jeremy Sanmoogan — Systems Programmer
1 shared topicsprogramming-languages
64match
calebwatters.com
calebwatters
1 shared topicsprogramming-languages
63match
7php.com
7PHP - The PHPeople Matters
1 shared topicsprogramming-languages
62match
refactoringguru.com
Refactoring and Design Patterns
1 shared topicsprogramming-languages
62match
juancarlos.io
All posts | Scattered Functional Thoughts
1 shared topicsprogramming-languages
62match
justinvp.com
Justin Van Patten
1 shared topicsprogramming-languages
61match
bun-and-butter.dev
Bun & Butter | Bun and TypeScript code, patterns, and snippets
1 shared topicsprogramming-languages
61match
bugfreejs.com
Home - Bugfree Programming
1 shared topicsprogramming-languages
61match
byteink.net
JonahGao's personal website
1 shared topicsprogramming-languages
61match
bryanbugyi.com
A Tech Blog by Bryan Bugyi
1 shared topicsprogramming-languages
61match
andrewsoteriou.net
AndrewLS — Software Engineer | C++, Flutter & Python
1 shared topicsprogramming-languages
61match
andrewls.dev
AndrewLS — Software Engineer | C++, Flutter & Python
1 shared topicsprogramming-languages
61match
andrewls.org
AndrewLS — Software Engineer | C++, Flutter & Python
1 shared topicsprogramming-languages
61match
andrewls.net
AndrewLS — Software Engineer | C++, Flutter & Python
1 shared topicsprogramming-languages
61match
simpleandfunlife.com
My SimpleandFunLife Site – Life as a junior coder
1 shared topicsprogramming-languages
61match
loyalcoderz.com
LoyalCoderZ | #1 Kids Coding & STEM Academy in East Brunswick, NJ
1 shared topicsprogramming-languages
60match
alanquatermain.me
AQBlog | Pseudo-random mumblings of an at least partially sane 26-year Apple developer & musician.
1 shared topicsprogramming-languages
60match
technoninjas.co.uk 🇬🇧
Techno Ninjas – We run coding clubs on a Saturday (term-time) and half-term holiday clubs playing the popular game Minecraft
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.