Piperic Business Intelligence

similar sites

Sites similar to allanregush.com

Home · ranked by category · tech stack · backlink co-citation

1 co-citations2 shared tech2 shared categorycomputing

Our Guidelines | Hexium

1 co-citations2 shared tech2 shared categorytechnology-and-computing

Welcome to BakeIT | 🍰 BakeIT

1 co-citations2 shared tech2 shared categorytechnology-and-computing

Brian Alexander - Software engineer

1 co-citations2 shared tech2 shared categoryprogramming-languages

margacampos.com

2 co-citations1 shared tech2 shared categoryprogramming-languages

1 co-citations2 shared tech2 shared categoryweb-development

Blog - Filipe Dev

1 co-citations2 shared tech2 shared categoryprogramming-languages

1 co-citations2 shared tech2 shared categorytechnology-and-computing

joelgiovinazzo.com

Joel Giovinazzo

1 co-citations2 shared tech2 shared categorytechnology-and-computing

1 co-citations2 shared tech1 shared categoryprogramming-languages

1 co-citations2 shared tech1 shared categoryartificial-intelligence

Unstyled UI primitives for SolidJS

1 co-citations2 shared tech1 shared categorytechnology-and-computing

feedpipe — real-time feedback on localhost

1 co-citations2 shared tech1 shared categorytechnology-and-computing

Developer Portfolio

1 co-citations2 shared tech2 shared categoryweb-development

1 co-citations2 shared tech1 shared categorytechnology-and-computing

devopsteddy.com

Home — Teddy Kalp

1 co-citations2 shared tech1 shared categorytechnology-and-computing

1 co-citations2 shared tech1 shared categorytechnology-and-computing

Man Parvesh Singh Randhawa

1 co-citations2 shared tech1 shared categorytechnology-and-computing

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:

co-citations how often the same third-party websites link out to both — sites referenced together tend to serve the same world.
shared tech how much of their technology stack (CMS, e‑commerce, analytics, frameworks…) overlaps.
shared category whether they sit in the same business / industry category.
positioning how closely their titles and on‑page wording line up.

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.