Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to regularbones.com

Zach Spears – Happiness Engineer and Solo Developer · ranked by shared content topics & relevance
72match
mugenzero.com
crazed – Web developer and dragonboat paddler
1 shared topicstechnology-and-computing
70match
a2n.dev
Alan Bouteiller - Product Engineer & Full-Stack Developer
1 shared topicstechnology-and-computing
70match
9developers.tech
9 Developers
1 shared topicstechnology-and-computing
70match
9dev.tech
9 Developers
1 shared topicstechnology-and-computing
70match
1mydress.com
Jay Bharat 9844542127 Software Engineer and Model
1 shared topicstechnology-and-computing
70match
andrewkramer.dev
Build Artifacts with Andrew – Resources for DevOps and Software Engineers
1 shared topicstechnology-and-computing
69match
adwait.dev
Adwait Abhyankar - Engineering Leader & Developer
1 shared topicstechnology-and-computing
69match
alexspear.net
Alex Spear - Developer, Software Engineer
1 shared topicstechnology-and-computing
69match
justinabaum.com
Justin Baum – Software Engineer at Yuzu Health
1 shared topicstechnology-and-computing
69match
adamh.me
Adam Heimowitz - Engineering Leader & Software Developer
1 shared topicstechnology-and-computing
69match
atilaguler.com
ATILAGULER – XR Developer / FullStack Dev
1 shared topicstechnology-and-computing
68match
angrydev.net
angrydev blog | the life and crisis of a c# developer
1 shared topicstechnology-and-computing
68match
byanofsky.com
Brandon Yanofsky – Software Engineer
1 shared topicstechnology-and-computing
68match
sinanbir.com
Sinan Bir Blog - Developer Soul
1 shared topicstechnology-and-computing
68match
luminadrift.com
John Durcan | Personal Portfolio, Mobile MVP Developer & iOS Engineer
1 shared topicstechnology-and-computing
68match
textlegend.com
Text Legend - Text Tools for Writers and Developers
1 shared topicstechnology-and-computing
68match
alexsablan.info
AlexSablan.info | Interactive Media Designer and SalesForce Commerce Cloud Developer
1 shared topicstechnology-and-computing
68match
1percent.dev
1% Developer
1 shared topicstechnology-and-computing

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.