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deleteonerror | Experiment -> Fail -> Learn -> Repeat - Experiment -> Fail -> Learn -> Repeat — 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
csanchez.dev ↗	65 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ghostccamm.com ↗	64 match 2 shared topics	GhostCcamm's Cyber Misadventures	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
sslstuff.com ↗	63 match 2 shared topics	Tls \| Major Hayden	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alexjchapman.com ↗	63 match 2 shared topics	Alex Chapman’s Blog \| A tech blog about all things Bug Bounty, security and development.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0xkato.xyz ↗	63 match 2 shared topics	Home \| 0xkato	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xkato.xyz ↗	63 match 2 shared topics	Home \| 0xkato	en	information-and-network-security	robotsllmsaihumans	emailphone	none
naveenkannan.dev ↗	63 match 2 shared topics	Naveen Kannan	en	information-and-network-security	robotsllmsaihumans	emailphone	none
matcher.top ↗	62 match 2 shared topics	matcher.top - Explore engaging articles and thought-provoking content on matcher.top. Your trusted source for quality blog posts.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dylanfw.com ↗	62 match 2 shared topics	dylanfw	en	information-and-network-security Tumblr	robotsllmsaihumans	emailphone	partial · 11
ghostsre.com ↗	62 match 2 shared topics	GopherSRE - Musings on Golang, DevOps and everything in between	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
regily.com ↗	62 match 2 shared topics	Fast Identity Verification \| Superior User Experience – Checkin.com	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kenkantzer.com ↗	62 match 2 shared topics	Ken Kantzer's Blog - logging my thoughts on technology, security & management	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
stevenhostetler.com ↗	62 match 2 shared topics	Steven Hostetler \| Personal blog of Steven Hostetler. Writing about security, tech projects, and whatever else interests me.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alicebobandeve.org ↗	62 match 2 shared topics	AliceBob&Eve Blogposts \| AliceBobAndEve	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keyfeatureslab.com ↗	62 match 2 shared topics	Raffaele Chiaverini's own cybersecurity related blog \| Hope you enjoy it!	en	technology-and-computing	robotsllmsaihumans	emailphone	none
stacklikemind.io ↗	62 match 2 shared topics	stacklikemind - A blog about IT sec related stuff.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aaronchamberlain.me ↗	62 match 2 shared topics	Aaron Chamberlain	en	technology-and-computing	robotsllmsaihumans	emailphone	none
2dgsolutions.com ↗	62 match 2 shared topics	2DG Solutions – California Based Technology Experts	en	information-and-network-security Spree Commerce	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.