Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to detariz.com

Detariz — Applied AI & Data Science Studio · ranked by shared content topics & relevance
74match
adityago.tech
Aditya Raj | AI & Data Science Student @ IIT Jodhpur
1 shared topicsartificial-intelligence
74match
research-reflection.com
Reflection — AI & Data Science for Healthcare
1 shared topicsartificial-intelligence
72match
artemf.dev
Artem Frolov | AI Systems & Data Science
1 shared topicsartificial-intelligence
72match
paseos.ai
Paseos AI — Applied Data Science for Support and Reliability
1 shared topicsartificial-intelligence
72match
adivardi.tech
Adi Vardi — Applied AI Engineer
1 shared topicsartificial-intelligence
72match
andrewrost.com
Andrew Rost — Data Scientist & Applied AI Engineer
1 shared topicsartificial-intelligence
72match
gohumanagency.com
AE Studio: Applied AI and Alignment Research
1 shared topicsartificial-intelligence
71match
mandrago.com
Mandrago — Applied AI & Machine Learning
1 shared topicsartificial-intelligence
71match
aci.dev
ACI.dev — Applied AI Lab
1 shared topicsartificial-intelligence
71match
a8z.com
Alec Dewitz — Applied AI
1 shared topicsartificial-intelligence
71match
charukagunawardhane.com
Charuka Gunawardhane — AI Engineer & Data Scientist
1 shared topicsartificial-intelligence
71match
7spire.com
7Spire — Applied AI Research for Decision Intelligence
1 shared topicsartificial-intelligence
71match
deuzavarela.com
Deuza Varela – Responsible AI & Data Science
1 shared topicsartificial-intelligence
71match
teoclerici.com
Teo Clerici Jurado | AI & Data Science Specialist
1 shared topicsartificial-intelligence
71match
skafahad.com
SK Ahammad Fahad - AI Researcher & Data Science Leader
1 shared topicsartificial-intelligence
70match
thatai.dev
Francesco Orozco — AI Engineer & Data Scientist
1 shared topicsartificial-intelligence
70match
akshit.app
Akshit Salgundi — Data Science & ML
1 shared topicsartificial-intelligence
70match
arnavs.tech
Arnav Srivastav — CS & Data Science
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.