Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to dev-ssh.com

Dev Sharma · ranked by shared content topics & relevance
70match
mukulrajsharma.com
Mukul Raj Sharma
2 shared topicsartificial-intelligence
66match
asyncthinking.com
Async Thinking | Naresh Sharma | Substack
2 shared topicstechnology-and-computing
66match
lut4.com
Deepak Sharda
2 shared topicstechnology-and-computing
66match
msharsha.com
Harsha Sridhar (MS Harsha) — Senior Software Engineer & Agentic AI
2 shared topicsartificial-intelligence
66match
atrum.dev
Atrum
2 shared topicsartificial-intelligence
65match
ashwynsharma.me
ASHWYN SHARMA | from Ashwyn.Sharma import love.for.AI
2 shared topicsartificial-intelligence
65match
sipine.com
SiPine
2 shared topicsartificial-intelligence
65match
lucas-shadoyan.com
Lucas Shadoyan
2 shared topicsartificial-intelligence
65match
lunalogs.com
lunalogs
2 shared topicsartificial-intelligence
65match
aanshshah.com
Aansh Shah
2 shared topicsartificial-intelligence
64match
lukeshawket.com
Luke Shawket
2 shared topicstechnology-and-computing
64match
anirudh.me
Anirudh Sharma — Inventor, Researcher, Engineer
2 shared topicstechnology-and-computing
64match
lonepine.ai
Lone Pine
2 shared topicstechnology-and-computing
64match
kalavadiya.dev
Dev Kalavadiya
2 shared topicsartificial-intelligence
64match
thebrianliou.com
Brian H. Liou
2 shared topicsartificial-intelligence
64match
panya.io
Panya | Shape Tomorrow
2 shared topicsartificial-intelligence
64match
fullproductdev.com
Full Product Dev - Modern Product Development Blog
2 shared topicstechnology-and-computing
64match
julianfalk.dev
Julian Falk - AI Specialist, Full-Stack Engineer & Team Lead
2 shared topicsartificial-intelligence

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.