Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to parkerself.com

J Parker Self – Developer & Entrepreneur · ranked by shared content topics & relevance
76match
gabastino.com
GABASTINO - Developer & Entrepreneur
2 shared topicsweb-development
75match
thebrianbouchard.com
Brian Bouchard — Developer & Entrepreneur
2 shared topicstechnology-and-computing
74match
abdirahman.net
Abdirahman Ahmed - Full-Stack Developer & Entrepreneur
2 shared topicstechnology-and-computing
71match
buddhirangana.com
Buddhi Rangana | Entrepreneur & Full-Stack Developer
2 shared topicsweb-development
70match
kackalack.com
Jack Parker — Developer
2 shared topicsweb-development
70match
ad22.dev
Adrien Demassieux - Developer & Engineer
2 shared topicsweb-development
70match
adamsewell.me
Adam Sewell - Sysadmin, WordPress Developer and Entrepreneur
2 shared topicstechnology-and-computing
70match
mstrum.com
Matt Strum. Developer, Entrepreneur, Lover of Change.
2 shared topicsweb-development
69match
acecerio.dev
Ace Cerio - Full Stack Developer & Tech Lead
2 shared topicstechnology-and-computing
68match
sindrema.com
Sindre — Full-stack Developer & self-hoster
2 shared topicsweb-development
68match
luke-dev.com
Luke Parker — AWS Serverless Contract Developer
2 shared topicsweb-development
68match
lukastran.com
Lukas Tran — Developer & Creator
2 shared topicsweb-development
68match
andrewpauluhn.dev
AWP Developer Blog
2 shared topicsweb-development
68match
andynenth.dev
Full-Stack Developer | Andy
2 shared topicsweb-development
68match
buntod.com
Orion — Full Stack Developer & Tech Blog
2 shared topicstechnology-and-computing
68match
ozkancimenli.com
Ozkan Cimenli | Full-Stack Developer & Web Developer
2 shared topicsweb-development
68match
alexandercherry.com
Alexander Cherry — Developer & Consultant
2 shared topicstechnology-and-computing
68match
0xlevy.software
Levy Wanyonyi - Full Stack Developer & Software Engineer
2 shared topicsweb-development

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.