Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to alexmcc.dev

Alex McConnell — Full Stack Engineer · ranked by shared content topics & relevance
75match
rohitrane.com
Rohit Rane | Senior Full Stack Engineer
1 shared topicsartificial-intelligence
75match
adamamzar.my
Adam Amzar | Full Stack AI Engineer
1 shared topicsartificial-intelligence
74match
softwarestacked.com
Aakash S. | AI-native Full Stack Engineer
1 shared topicsartificial-intelligence
73match
adamlacasse.dev
Adam LaCasse | Full-Stack Engineer
1 shared topicsartificial-intelligence
73match
arinkarabulut.com
Arin Karabulut | Full Stack & AI Engineer
1 shared topicsartificial-intelligence
73match
agentsathvik.dev
Sathvik N G — Senior Full Stack AI Engineer
1 shared topicsartificial-intelligence
72match
abed-al-rahman.tech
Abed Al Rahman | AI & Full-Stack Engineer
1 shared topicsartificial-intelligence
72match
akulgokaram.dev
Akul Gokaram | Full Stack Software Engineer
1 shared topicsartificial-intelligence
72match
abhishekkhandelwal.tech
Abhishek Khandelwal — AI/ML Engineer & Full Stack Developer
1 shared topicsartificial-intelligence
72match
felipet.io
Felipe Vieira — Fullstack engineer for climate & AI
1 shared topicsartificial-intelligence
71match
ahmadaziz.tech
Ahmad Aziz — Full-Stack Engineer building AI-native products
1 shared topicsartificial-intelligence
71match
bodifyo.com
Bodifyo — Full-Stack & AI Engineering
1 shared topicsartificial-intelligence
71match
andymbryant.com
Andy Bryant | Full Stack Machine Learning Engineer
1 shared topicsartificial-intelligence
71match
soludity.com
Soludity | Prime Full-Stack Engineering
1 shared topicsartificial-intelligence
71match
alexjensen.me
Alex Jensen — AI Engineer
1 shared topicsartificial-intelligence
71match
dixitbavu.com
Dixit Bavu - Fullstack Engineer & AI Developer
1 shared topicsartificial-intelligence
70match
angelozhang.dev
Angelo Zhang — Full-Stack Engineer · AI Product Architecture & 0-to-1 Delivery
1 shared topicsartificial-intelligence
70match
arjostyle.com
Arjo Magno — Full-Stack Developer, AI Engineer & Tattoo Artist
1 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.