Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to ashley.dev

Ashley Willis - Developer Relations Leader, Former GDE, Keynote Speaker · ranked by shared content topics & relevance
69match
pichardo.io
Angel Pichardo - Developer Relations Engineer
1 shared topicstechnology-and-computing
67match
nidhinakrani.com
Nidhi Nakrani | Developer Relations and Blockchain Developer
1 shared topicstechnology-and-computing
67match
andrewmadson.com
Andrew Madson | Founding Head of Developer Relations at Fivetran
1 shared topicstechnology-and-computing
67match
alexmercedcoder.dev
Alex Merced | Head of Developer Relations & Data Lakehouse Expert
1 shared topicstechnology-and-computing
67match
alexmerced.tech
Alex Merced | Head of Developer Relations & Data Lakehouse Expert
1 shared topicstechnology-and-computing
66match
adambecker.info
Adam Becker - Leader, Developer, Gamer, Maker
1 shared topicstechnology-and-computing
66match
andrewensley.com
Andrew Ensley | Leader / Developer / Musician
1 shared topicstechnology-and-computing
66match
alexspear.net
Alex Spear - Developer, Software Engineer
1 shared topicstechnology-and-computing
66match
benalman.net
Ben Alman — Developer & Engineering Leader
1 shared topicstechnology-and-computing
66match
benalman.me
Ben Alman — Developer & Engineering Leader
1 shared topicstechnology-and-computing
65match
solomontsao.com
Solomon Tsao - Developer Blog
1 shared topicstechnology-and-computing
65match
mateohela.com
Mateo Hela - Developer & Writer
1 shared topicstechnology-and-computing
65match
matiasvad.com
Matias Vad - Developer
1 shared topicstechnology-and-computing
65match
ronisl.com
[ TERMINAL ] - Developer Profile
1 shared topicstechnology-and-computing
65match
arikko.dev
Arik Chakma - Developer, creator.
1 shared topicstechnology-and-computing
65match
codycardarella.com
Cody Cardarella — Integrations Developer
1 shared topicstechnology-and-computing
65match
guillemhermidarivera.com
Guillem Hermida Rivera - Developer
1 shared topicstechnology-and-computing
65match
alexhagbarth.com
Alex Hagbarth - 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.