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Sites similar to engineeredentry.com

Engineeredentry alternatives & similar sites

Travis Weathers - Engineer, Physical Security Expert, & Offensive Security Leader — 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
kallanfraser.com ↗	69 match 2 shared topics	Kallan Fraser \| Backend & Security Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
0-x.dev ↗	69 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdeadbeefjerky.com ↗	69 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cedricmiller.dev ↗	69 match 2 shared topics	Cedric Miller \| DevSecOps & Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
igotroot.com ↗	68 match 2 shared topics	iGotRoot - Security Engineer & Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
daybreaksec.com ↗	68 match 2 shared topics	Daybreak \| Fractional security engineer for emerging tech	en	information-and-network-security	robots llmsaihumans	emailphone	none
mell0wx.tech ↗	68 match 2 shared topics	mell0wx — Cybersecurity Engineer Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mlbrain.cloud ↗	67 match 2 shared topics	Akshansh Jaiswal \| Lead Security Engineer & Bug Bounty Hunter	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cwjensendesign.com ↗	67 match 2 shared topics	Chris Jensen - DevSecOps Software Engineer, HIPAA Security	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
fobabs.com ↗	67 match 2 shared topics	FOBABS - Blockchain Engineer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kernelstub.dev ↗	67 match 2 shared topics	Georgios Prepakis \| Kernelstub \| Security Researcher	Germany~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
briacd.com ↗	67 match 2 shared topics	Developer Portfolio, Security Research and Engineering Blog \| Briac	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dackjempsey.com ↗	67 match 2 shared topics	Quantum Dempsey – Discussing software, engineering, cybersecurity, and quantum	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
3ziz.me ↗	67 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
meincke.org ↗	67 match 2 shared topics	Raymond Meincke \| DevOps & Cybersecurity Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
cybersecurityos.net ↗	67 match 2 shared topics	CybersecurityOS \| CybersecurityOS	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	none
k0g.com ↗	66 match 2 shared topics	K0G — Ethical Security Research Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhatlab.cfd ↗	66 match 2 shared topics	Cyber Security Lab	en	information-and-network-security	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.