similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to ownitnow.org

Ownitnow alternatives & similar sites

OWNITNOW — Sovereign Systems Architecture — 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
vnsis.com ↗	68 match 2 shared topics	VNSIS Technologies — Systems. Infrastructure. Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpblog.dev ↗	66 match 2 shared topics	MCPBlog.dev — The MCP Ecosystem Blog	en	information-and-network-security	robots llmsaihumans	emailphone	none
concretedigitalhq.com ↗	66 match 2 shared topics	Concrete Digital \| Distributed Systems & Digital Infrastructure Research	en	technology-and-computing	robotsllmsaihumans	emailphone	none
eugeniabahit.com ↗	65 match 2 shared topics	Eugenia Bahit — Core Library Architect and Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
shrike-systems.com ↗	65 match 2 shared topics	Shrike Systems	en	technology-and-computing	robotsllmsaihumans	emailphone	none
chainsafe.io ↗	65 match 2 shared topics	ChainSafe Systems	en	technology-and-computing	robotsllmsaihumans	emailphone	none
heyema.dev ↗	65 match 2 shared topics	hey ema — Sign in	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1io.com ↗	64 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
pablohuertas.dev ↗	63 match 2 shared topics	Pablo Huertas - Cybersecurity & Infrastructure Notes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexproof.dev ↗	63 match 2 shared topics	⎔ hexproof \| Systems. Broken and measured.	en	technology-and-computing	robots llmsaihumans	emailphone	none
krishofer.com ↗	63 match 2 shared topics	Kris Hofer — Software Engineering Leader \| Infrastructure & Security	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mcp-scorecard.ai ↗	63 match 2 shared topics	MCP Scorecard — Trust Scores for Every MCP Server	en	technology-and-computing	robots llmsaihumans	emailphone	none
mcpscorecard.com ↗	63 match 2 shared topics	MCP Scorecard — Trust Scores for Every MCP Server	en	technology-and-computing	robots llmsaihumans	emailphone	none
0xmaruf.com ↗	63 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
blockchaincommons.com ↗	62 match 2 shared topics	Welcome to Blockchain Commons	en	technology-and-computing	robotsllmsaihumans	emailphone	none
vkafed.com ↗	62 match 2 shared topics	DevSecOps Journal - DevSecOps / SRE Notes	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ctfworld.org ↗	62 match 2 shared topics	FallWire CTF 2026 — The call of the fall	en	information-and-network-security	robotsllmsaihumans	emailphone	none
shoukan-labs.com ↗	62 match 2 shared topics	Shoukan Labs — We Summon Digital Power	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.