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Bartosz Wójcik — Software Protection & Reverse Engineering — 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
threathound.com ↗	71 match 1 shared topics	code auditing \| reverse engineering \| penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jakubvojvoda.com ↗	70 match 1 shared topics	Jakub Vojvoda - Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devianshigoyal.com ↗	70 match 1 shared topics	Devianshi Goyal \| Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jamesbullen.com ↗	70 match 1 shared topics	James Bullen — Detection & Response Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
markeldo.com ↗	70 match 1 shared topics	Mark Eldridge – Security, software engineering, and technology.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dinkeydongle.com ↗	69 match 1 shared topics	Digital Security Specialists \| Software Protection & Licensing, MFA, OTP, PKI and FIDO \| Microcosm	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dicesoft.net ↗	69 match 1 shared topics	Stephen Chavez - Red Team Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threlon.com ↗	69 match 1 shared topics	Threlon. Detection engineering for the middle.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jeffyounger.digital ↗	68 match 1 shared topics	Jeff Younger \| Software Engineering Executive	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jaimansharma.dev ↗	68 match 1 shared topics	Jaiman Sharma \| Cybersecurity + Software Engineering - Automation Focused	en	information-and-network-security	robotsllmsaihumans	emailphone	none
memcrypt.io ↗	68 match 1 shared topics	MemCrypt - Advanced Ransomware protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jasonshepherd.net ↗	68 match 1 shared topics	Secure Software Engineering – with Jason Shepherd	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0aloaltonetworks.com ↗	68 match 1 shared topics	Leader in Cybersecurity Protection & Software for the Modern Enterprises - Palo Alto Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
padoaltonetworks.com ↗	68 match 1 shared topics	Leader in Cybersecurity Protection & Software for the Modern Enterprises - Palo Alto Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
scornd.com ↗	67 match 1 shared topics	Scornd - AI Fraud Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nak.co ↗	67 match 1 shared topics	NAK Engineering \| Hardware Design & Secure Embedded Systems Architecture	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
singerean.digital ↗	67 match 1 shared topics	Tudor-Cristian Sîngerean - Cybersecurity Engineering Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dhirajjadhav.tech ↗	67 match 1 shared topics	Dhiraj Jadhav - Cybersecurity & Software Engineer	en	information-and-network-security	robotsllmsaihumans	email phone	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.