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Sites similar to pineappledrops.com

IBMi iSeries Administration and cybersecurity professional · ranked by shared content topics & relevance

dominicmetz.com

Dominic Metz | Cybersecurity Professional

1 shared topicsinformation-and-network-security

intersystechnology.com

Intersys | Cybersecurity Professional

1 shared topicsinformation-and-network-security

Kyma Uwa — Cybersecurity Professional

1 shared topicsinformation-and-network-security

Kyle Barbre | Cybersecurity Professional

1 shared topicsinformation-and-network-security

Adil Monu - Cybersecurity Professional | Digital Guardian

1 shared topicsinformation-and-network-security

Kyle Messer | Cybersecurity Professional

1 shared topicsinformation-and-network-security

Melvin Cousin | Cybersecurity Professional

1 shared topicsinformation-and-network-security

bobbyacricybersecurity.com

Bobby Acri | Winnetka, IL Cybersecurity Professional

1 shared topicsinformation-and-network-security

ACSCP — African Council for Cybersecurity Professionals

1 shared topicsinformation-and-network-security

dominicalegrete.com

Dominic Alegrete - SOC Analyst & Cybersecurity Professional

1 shared topicsinformation-and-network-security

birminghamconsulting.net

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1 shared topicsinformation-and-network-security

fedresources.com

Cybersecurity Solutions & Professional Services - FRC

1 shared topicsinformation-and-network-security

mattaaronjames.com

Matt James - Cybersecurity Professional

1 shared topicsinformation-and-network-security

CyberSecurity professional | Founder of Ravenwill

1 shared topicsinformation-and-network-security

SIEM and Cybersecurity Solutions | Abatis 365

1 shared topicsinformation-and-network-security

Alan James — Cybersecurity Professional

1 shared topicsinformation-and-network-security

arrowsyncsolutions.com

Digital IT strategy, Cybersecurity Solutions | NJ NY PA

1 shared topicsinformation-and-network-security

Muhammad Al-Baqir - Cybersecurity Professional

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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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.