Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to amaj.dev

Amaj — Applied AI, engineered to ship. · ranked by shared content topics & relevance
77match
masongalusha.com
Mason Galusha — Applied AI Engineer
1 shared topicsartificial-intelligence
76match
adivardi.tech
Adi Vardi — Applied AI Engineer
1 shared topicsartificial-intelligence
74match
fedyanov.dev
Stepan Fedyanov — Applied AI Engineer
1 shared topicsartificial-intelligence
74match
abhinavdev24.com
Abhinav Kumar — Applied AI Software Engineer
1 shared topicsartificial-intelligence
73match
rohanbuilds.com
Rohan Kumar - Applied AI Engineer
1 shared topicsartificial-intelligence
72match
arnavvyas.com
Arnav Vyas | Applied AI Engineer
1 shared topicsartificial-intelligence
72match
aci.dev
ACI.dev — Applied AI Lab
1 shared topicsartificial-intelligence
71match
a8z.com
Alec Dewitz — Applied AI
1 shared topicsartificial-intelligence
71match
ahmedbilal.org
Ahmed Bilal — AI Engineer
1 shared topicsartificial-intelligence
71match
kunalachintya.com
AI Systems Consultant | Applied ML Engineer
1 shared topicsartificial-intelligence
70match
abhishekmanyam.com
Abhishek M — AI Engineer
1 shared topicsartificial-intelligence
70match
solharsh.com
Harsh Solanki — Lead, Applied AI
1 shared topicsartificial-intelligence
70match
cloudninetechnological.com
cloudNine Technological — Applied research & engineering
1 shared topicsartificial-intelligence
70match
soniceyeventures.com
Sonic Eye Ventures — Applied AI & Data Consulting
1 shared topicsartificial-intelligence
70match
askdavidc.ai
Ask David C — Eco-Engineered AI
1 shared topicsartificial-intelligence
70match
7spire.com
7Spire — Applied AI Research for Decision Intelligence
1 shared topicsartificial-intelligence
70match
fednaresearch.com
Fedna Research — Advancing Applied AI
1 shared topicsartificial-intelligence
70match
alexjensen.me
Alex Jensen — AI Engineer
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.