Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to krasakis.com

Antonios Minas Krasakis | University of Amsterdam · ranked by shared content topics & relevance
76match
hengyueliu.com
Hengyue (Henry) Liu | UCR
1 shared topicsartificial-intelligence
68match
ancastal.com
Antonio Castaldo - PhD in AI & Machine Translation | University of Pisa
1 shared topicsartificial-intelligence
68match
lzclink.com
Zuchen Li | University of Michigan, Ann Arbor
1 shared topicsartificial-intelligence
68match
poduniversity.com
POD University
1 shared topicsartificial-intelligence
67match
nyaihackathon.com
Cornell University AI Hackathon
1 shared topicsartificial-intelligence
66match
antoniomacaluso.com
Antonio Macaluso
1 shared topicsartificial-intelligence
65match
anjanidhrangadhariya.com
Anjani Dhrangadhariya - Switzerland, F. Hoffmann-La Roche AG, University of Geneva, PhD | about.me
1 shared topicsartificial-intelligence
65match
helloday.ai
HelloDay.ai - AI Orientation Assistant | University & Corporate Onboarding
1 shared topicsartificial-intelligence
65match
gautamdasarathy.com
Gautam Dasarathy | Arizona State University
1 shared topicsartificial-intelligence
65match
koomaru.com
Nguyễn Vương Thùy Ngân — Lecturer, University of Science, VNU-HCM
1 shared topicsartificial-intelligence
65match
eth-oxford.com
ETH Oxford 2026 | 3-Day Hackathon at Oxford University
1 shared topicsartificial-intelligence
65match
antonioannamele.com
Antonio Anna Mele
1 shared topicsartificial-intelligence
65match
garciasevilla.com
Antonio@GarcíaSevilla
1 shared topicsartificial-intelligence
65match
obsicat.com
Xingnan Zhou | Concordia University
1 shared topicsartificial-intelligence
65match
mohanwugupta.com
Mohan W. Gupta | Princeton University
1 shared topicsartificial-intelligence
65match
antoniounick.com
Nick Antoniou
1 shared topicsartificial-intelligence
65match
shibashintaro.com
Shintaro Shiba
1 shared topicsartificial-intelligence
64match
antihertz.com
Sebastian Hübner - TZI / Universität Bremen (alumnus)
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.