Piperic Business Intelligence
similar sites
‹ profile

Sites similar to arpitak.com

arpitak / home · ranked by category · tech stack · backlink co-citation
62match
ivanfouilloux.com
Iván Fouilloux
3 co-citations3 shared tech2 shared categoryartificial-intelligence
62match
jackpuccini.com
Jack Puccini
3 co-citations3 shared tech2 shared categoryartificial-intelligence
62match
hettech.org
Clean Code Principles • HETTECH — The House of Technology
3 co-citations3 shared tech2 shared categoryartificial-intelligence
62match
anuragbasant.com
Anurag Basant
3 co-citations3 shared tech2 shared categoryartificial-intelligence
62match
baptistecolle.com
Baptiste Colle's Blog
3 co-citations3 shared tech2 shared categoryartificial-intelligence
60match
ivantim.dev
ivantim.dev — Ivan Tim Lab
3 co-citations3 shared tech2 shared categoryweb-development
60match
arpitgahlot.com
Arpit Gahlot
2 co-citations3 shared tech2 shared categorytechnology-and-computing
60match
kentandrian.com
Kenrick Tandrian
3 co-citations3 shared tech2 shared categorycloud-computing
60match
hiddeh.com
Hidde Heijnen
3 co-citations3 shared tech2 shared categoryartificial-intelligence
60match
bbabiker.com
Babiker | Software Engineer
3 co-citations3 shared tech2 shared categoryartificial-intelligence
60match
dhannarula.com
Dhan Narula — Builder, CS @ UofT
3 co-citations3 shared tech2 shared categorytechnology-and-computing
60match
fertrevino.com
Home
2 co-citations3 shared tech2 shared categorysoftware-and-applications
60match
georgeakor.com
George Akor - Personal Website
3 co-citations3 shared tech2 shared categorytechnology-and-computing
59match
arpansethi.com
Arpan Sethi - AI Engineer
3 co-citations3 shared tech2 shared categoryartificial-intelligence
59match
april-chen.com
April Chen
4 co-citations3 shared tech2 shared categorytechnology-and-computing
58match
mannacharya.com
Mann Acharya
3 co-citations3 shared tech2 shared categoryartificial-intelligence
58match
kelma.ai
M. Shibl
2 co-citations3 shared tech2 shared categoryartificial-intelligence
58match
jayashruthi.com
Jayashruthi Rajesh Babu | Portfolio
2 co-citations3 shared tech2 shared categoryartificial-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.