Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to chengdai.dev

Cheng Dai — Product Engineer · ranked by shared content topics & relevance
80match
devmiguel.com
Miguel Caetano — Product Engineer
1 shared topicstechnology-and-computing
79match
andrewjmcgehee.com
Andrew McGehee — Product Engineer
1 shared topicstechnology-and-computing
78match
ethangorman.com
Ethan Gorman — Product Engineer
1 shared topicstechnology-and-computing
74match
anass.dev
Anass Seghiar — Product & Platform Engineer
1 shared topicstechnology-and-computing
74match
chetalab.com
Chetalab | Product engineering studio.
1 shared topicstechnology-and-computing
74match
andrapra.dev
Andra Pradana - Engineer & Product Builder
1 shared topicstechnology-and-computing
74match
nate-for-tech.com
Nathan Pennington — End-To-End Full-Stack Product Engineer
1 shared topicstechnology-and-computing
72match
aniltalla.com
Product and Engineering Leader - Anil Talla
1 shared topicstechnology-and-computing
72match
arkhalid.tech
AR Khalid — Product Architect & Systems Engineer
1 shared topicstechnology-and-computing
72match
annageller.com
Anna Geller — Product Lead & Data Engineering Expert
1 shared topicstechnology-and-computing
72match
a2n.dev
Alan Bouteiller - Product Engineer & Full-Stack Developer
1 shared topicstechnology-and-computing
71match
kindrail.com
Kindrail — Product Studio
1 shared topicstechnology-and-computing
71match
alekforgrowth.com
Alek Darr — Product Manager & Builder
1 shared topicstechnology-and-computing
71match
evannicoles.com
Evan Nicoles - Engineering & Product Leader
1 shared topicstechnology-and-computing
71match
paulrehmet.com
Paul Rehmet | Product Manager, Software Engineer, Digital Marketer
1 shared topicstechnology-and-computing
70match
adarsh.app
Adarsh Mishra — Software Engineer
1 shared topicstechnology-and-computing
70match
alansaldivar.dev
Saldivar Studio — Engineering Leadership & Product Development
1 shared topicstechnology-and-computing
70match
ankitphondani.com
Ankit Phondani – Backend Engineer
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.