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Sites similar to cedricmiller.dev

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Cedric Miller | DevSecOps & Security Engineer — 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
meincke.org ↗	75 match 2 shared topics	Raymond Meincke \| DevOps & Cybersecurity Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
kallanfraser.com ↗	74 match 2 shared topics	Kallan Fraser \| Backend & Security Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
0-x.dev ↗	73 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mell0wx.tech ↗	72 match 2 shared topics	mell0wx — Cybersecurity Engineer Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
daybreaksec.com ↗	70 match 2 shared topics	Daybreak \| Fractional security engineer for emerging tech	en	information-and-network-security	robots llmsaihumans	emailphone	none
mlbrain.cloud ↗	70 match 2 shared topics	Akshansh Jaiswal \| Lead Security Engineer & Bug Bounty Hunter	en	information-and-network-security	robotsllmsaihumans	emailphone	none
briacd.com ↗	69 match 2 shared topics	Developer Portfolio, Security Research and Engineering Blog \| Briac	en	technology-and-computing	robotsllmsaihumans	emailphone	none
iamrp.dev ↗	69 match 2 shared topics	RPDev \| Security Analyst & Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
preflexsol.com ↗	68 match 2 shared topics	Preflex Solutions \| DevSecOps Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
0xchiru.dev ↗	68 match 2 shared topics	Chiranjeevi Diviti — Cybersecurity Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
davegernon.co.uk ↗	68 match 2 shared topics	Dave-infintiy’s rough techblog \| A techblog from an infrastructure and security engineer working on Linuxy and Windows systems	United Kingdom en	technology-and-computing	robotsllmsaihumans	emailphone	none
0xdeadbeefjerky.com ↗	68 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	68 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lewisforrestbates.com ↗	68 match 2 shared topics	Lewis Forrest Bates \| Embedded Systems & Hardware Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zrouga.com ↗	67 match 2 shared topics	Mohamed Zrouga — Platform Engineer & Python/Go Developer \| London, UK	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sjvik.com ↗	67 match 2 shared topics	Steve Vik — Cybersecurity & DevOps	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	partial · 8
mdminhazulhaque.io ↗	67 match 2 shared topics	Md. Minhazul Haque \| Platform Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alysiatech.com ↗	67 match 2 shared topics	Smart Contract Architecture & Security \| Web3	en	information-and-network-security	robots llmsaihumans	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.