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Mohamed Zrouga — Platform Engineer & Python/Go Developer | London, UK — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
0-x.dev ↗	68 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
farhoudtalebi.com ↗	68 match 2 shared topics	Farhoud Talebi - Software Engineer	en	technology-and-computing	robotsllmsaihumans	email phone	none
carterlasalle.com ↗	66 match 2 shared topics	Carter LaSalle - Security Researcher & Software Developer	en	information-and-network-security	robots llmsaihumans	emailphone	none
joshlapitan.com ↗	66 match 2 shared topics	Josh — Cybersecurity Analyst & Security Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
awinkler.dev ↗	66 match 2 shared topics	Alexander Winkler — Security Researcher & Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cwjensendesign.com ↗	66 match 2 shared topics	Chris Jensen - DevSecOps Software Engineer, HIPAA Security	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
base58.io ↗	66 match 2 shared topics	Base58 \| Blockchain Engineering & Smart Contract Security	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ayenson.com ↗	66 match 2 shared topics	Mika Ayenson - Husband / Father / Engineer 🥂	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useconverter.com ↗	65 match 2 shared topics	UseConverter – Free Online Developer & Utility Tools	en	technology-and-computing	robotsllmsaihumans	emailphone	none
suyogpatil.com ↗	65 match 2 shared topics	Suyog Patil (xspartian) - Product Security Engineer \| Penetration Tester \| Bug Bounty Hunter	IN~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
favourori.com ↗	65 match 2 shared topics	Favour Ori \| Senior Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
battlewithbytes.io ↗	65 match 2 shared topics	Battle With Bytes \| Cybersecurity, Embedded Hardware & Software Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberarmor.pro ↗	65 match 2 shared topics	Sean T. Tiernan - San Francisco, California, Cal Poly San Luis Obispo College of Engineering \| about.me	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avataracloud.com ↗	65 match 2 shared topics	The All-Inclusive IT Platform \| Avatara	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avataraplatform.com ↗	65 match 2 shared topics	The All-Inclusive IT Platform \| Avatara	en	information-and-network-security	robotsllmsaihumans	emailphone	none
axumsec.com ↗	64 match 2 shared topics	AXUM SEC \| Africa's Premier Bug Bounty & Penetration Testing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defensivethinking.io ↗	64 match 2 shared topics	DefensiveThinking.io — Development	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xdeadbeefjerky.com ↗	64 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none

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.