Piperic Business Intelligence
similar sites
‹ profile

Sites similar to getmailsift.com

mailsift - Cold-email personalization API · ranked by category · tech stack · backlink co-citation
65match
kylekaufmanaiml.com
Kyle Kaufman - Data Scientist
2 co-citations3 shared tech0 shared categoryartificial-intelligence
65match
aljandali.dev
Karim Aljandali | Freelance React Developer
2 co-citations3 shared tech0 shared categoryweb-development
65match
cedricsportfolio.com
Cedric Jean-Philippe
2 co-citations3 shared tech0 shared categorysoftware-and-applications
56match
keleenkibet.com
Keleen | Personal Portfolio
2 co-citations3 shared tech0 shared categoryweb-development
55match
matijavulic.com
Matija Vulic - Portfolio
2 co-citations2 shared tech0 shared categoryweb-development
53match
kenilvora.dev
Kenil's Portfolio
2 co-citations3 shared tech0 shared categoryweb-development
53match
japindernarula.com
Japinder's Portfolio
2 co-citations3 shared tech0 shared categorytechnology-and-computing
53match
jeffgarris.com
Jeff Garris: Frontend Web Developer
2 co-citations3 shared tech0 shared categoryweb-development
53match
joaquindelvecchio.com
Joaquín Del Vecchio
2 co-citations3 shared tech0 shared categorysoftware-and-applications
53match
hawulethu.com
Hawulethu Ndlovu - Portfolio
2 co-citations3 shared tech0 shared categoryartificial-intelligence
53match
heyanas.dev
Anas | Frontend Developer
2 co-citations3 shared tech0 shared categoryweb-development
53match
0xade.dev
Ade's Portfolio
2 co-citations3 shared tech0 shared categoryweb-development
53match
aaabrham.com
Abraham Alemayehu | Portfolio Website
2 co-citations3 shared tech0 shared categoryweb-development
53match
adithyakashyap.com
Adithya's Portfolio
2 co-citations3 shared tech0 shared categoryweb-development
53match
admildomanuel.com
Admildo Manuel - Software Engineer
2 co-citations3 shared tech0 shared categoryartificial-intelligence
53match
bahareh.dev
Bahareh Foroughi
2 co-citations3 shared tech0 shared categorysoftware-and-applications
53match
feliveira.com
Feliveira
2 co-citations3 shared tech0 shared categoryweb-development
53match
femiojeyemi.com
Femi's Porfolio
2 co-citations3 shared tech0 shared categoryweb-development

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.