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 project-ra.com

Project Ra alternatives & similar sites

Projectra | Enterprise Software, QA & Cybersecurity Partner — 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
mell0wx.tech ↗	70 match 2 shared topics	mell0wx — Cybersecurity Engineer Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
meincke.org ↗	70 match 2 shared topics	Raymond Meincke \| DevOps & Cybersecurity Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
csenthusiast.com ↗	69 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xhabib.tech ↗	69 match 2 shared topics	0xHabib - Cybersecurity Learning Journey	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dbugging.com ↗	69 match 2 shared topics	Dbugging - CYBER SECURITY PLATFORM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityos.net ↗	68 match 2 shared topics	CybersecurityOS \| CybersecurityOS	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	none
cyze.ai ↗	68 match 2 shared topics	Cyze - Real-World Cybersecurity Guides & Community Knowledge	en	information-and-network-security	robotsllmsaihumans	emailphone	none
silverwisetech.com ↗	68 match 2 shared topics	SilverWiseTech - A cybersecurity blog	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
florianamette.com ↗	68 match 2 shared topics	Florian Amette (F4K) - Cybersecurity Entrepreneur	en	information-and-network-security	robotsllmsaihumans	emailphone	none
silencemayday.com ↗	68 match 2 shared topics	Silence Mayday – Cybersecurity & CTF Writeups	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cy-brush.com ↗	68 match 2 shared topics	Cybrush - Practical Cybersecurity for Everyone	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberfoundry.tech ↗	68 match 2 shared topics	CyberFoundry Project	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cwjensendesign.com ↗	68 match 2 shared topics	Chris Jensen - DevSecOps Software Engineer, HIPAA Security	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
idbriefing.com ↗	68 match 2 shared topics	Security Point Break \| Cybersecurity News & Analysis	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
id-briefing.com ↗	68 match 2 shared topics	Security Point Break \| Cybersecurity News & Analysis	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
cybersecurity.gripe ↗	68 match 2 shared topics	Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberhatlab.cfd ↗	68 match 2 shared topics	Cyber Security Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
productsecurityhub.com ↗	68 match 2 shared topics	Product Security Hub – Product Cybersecurity Management Platform	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.