Piperic Business Intelligence

similar sites

Sites similar to mattdfuchs.com

Matthew's Blog · ranked by category · tech stack · backlink co-citation

De l'élégance nait l'architecture - Portfolio

2 co-citations2 shared tech1 shared categoryinformation-and-network-security

felipenovais.com

2 co-citations2 shared tech1 shared categoryinformation-and-network-security

arraialepico.com

2 co-citations2 shared tech1 shared categorysoftware-and-applications

2 co-citations2 shared tech1 shared categoryinformation-and-network-security

One of those days - A place where everything could go wrong, shall go wrong - Edsel Murphy's Law

2 co-citations2 shared tech1 shared categoryinformation-and-network-security

homebrewedhacker.com

HomeBrewedHacker

2 co-citations1 shared tech1 shared categoryinformation-and-network-security

adindrabkin.com

2 co-citations2 shared tech1 shared categoryinformation-and-network-security

1 co-citations2 shared tech1 shared categoryinformation-and-network-security

corpsechasm.com

2 co-citations1 shared tech1 shared categoryinformation-and-network-security

censored-state.com

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

hfacs-cyber.com

HFACS-Cyber - HFACS-Cyber

2 co-citations1 shared tech1 shared categoryinformation-and-network-security

2 co-citations2 shared tech0 shared categoryprogramming-languages

bowandarmor.com

1 co-citations2 shared tech1 shared categoryinformation-and-network-security

Geoff Corey's Blog

2 co-citations2 shared tech0 shared categoryartificial-intelligence

2 co-citations1 shared tech1 shared categoryinformation-and-network-security

Dev Nuggets Blog

2 co-citations2 shared tech0 shared categorytechnology-and-computing

Christopher Puschmann's Blog

2 co-citations2 shared tech0 shared categorydata-storage-and-warehousing

Home of John Doe 👋 - Fabrizio Di Carlo

2 co-citations2 shared tech1 shared categoryinformation-and-network-security

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.