Piperic Business Intelligence

similar sites

Sites similar to fedlin.com

Security Engineering for vCISOs, MSPs & Advisors | FEDLIN · ranked by category · tech stack · backlink co-citation

Jeff Hidalgo — Security Engineer

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

HeyChets | Network, Cybersecurity & Cloud Portfolio

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

Joel Wisdom — DevOps, Cloud, and Cybersecurity Engineer

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

Balpars Cyber Journey

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

2 co-citations2 shared tech1 shared categoryartificial-intelligence

Hawshemi | Rasoul Hashemi - IT Specialist & Cybersecurity Consultant

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

Home | Devin Boodoo

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

Julián Gómez · Offensive security engineer

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

Fernando Rabasco · Security & Software Engineer

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

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

bountexlabs.com

BountEx Labs | Cybersecurity, OSINT, Crypto Investigations

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

Welcome to Hawkpass | HawkPass

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

ivrodriguez.com

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

fernandotucci.com

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

MalwarePad's Website

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

Hassnat Ahmad | Senior Cloud, DevSecOps & Automation Engineer

2 co-citations1 shared tech1 shared categorycloud-computing

Andrew Boyd | Lead Network & Cloud Security Architect

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

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.