Piperic Business Intelligence

similar sites

Sites similar to matpisk.com

matpisk07 (Mattia PISCHEDDA) · GitHub · ranked by category · tech stack · backlink co-citation

byteflamesoftware.com

mrpowe07 (Matt Powers) · GitHub

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

byjarno (Jarno) · GitHub

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

meckbaig · GitHub

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

bjartesola (Bjarte Sola) · GitHub

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

liadraz (Liad Raz) · GitHub

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

GranderStark (Lev) · GitHub

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

emmanuelcasillas.com

ec-builds (Emmanuel) · GitHub

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

romanklimov.com

RomanKlimov (Roman) · GitHub

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

jfmercer (John Mercer) · GitHub

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

quasemago (Bruno Ronning) · GitHub

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

rolimans (Eduardo Amaral) · GitHub

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

leoddmartini.com

leoddmartini (Leonardo de Martini) · GitHub

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

roshaanahmad.com

RoshaanAhmad (روشان أحمد) · GitHub

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

nikkelma (Matt Nikkel) · GitHub

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

corona10 (Donghee Na) · GitHub

6 co-citations2 shared tech1 shared categoryartificial-intelligence

Jepebu (Matthew Bragg) · GitHub

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

ddragula (Dawid Draguła) · GitHub

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

igorskyx86 · GitHub

6 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.