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Sites similar to p2pcollab.org

P2Pcollab alternatives & similar sites

P2Pcollab — 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
hscollab.org ↗	74 match 1 shared topics	HSCollab	en	information-and-network-security Squarespace	robotsllmsaihumans	emailphone	none
cyberclub.london ↗	64 match 1 shared topics	CCL \| Learn, Collaborate, Invest.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
edge-edge.co.uk ↗	64 match 1 shared topics	Kerv Collaboration & Compliance \| Kerv	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
officeplus.cloud ↗	62 match 1 shared topics	Unified Communication and Collaboration \| UAE \| Oman \| Qatar	en	information-and-network-security	robotsllmsaihumans	emailphone	none
uaenip.com ↗	62 match 1 shared topics	Home • UAENIP-IT	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
assertionsv.com ↗	62 match 1 shared topics	Home - Assertion \| Securing Every Call To Collaborate Confidently	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybercollaborationcenter.org ↗	62 match 1 shared topics	Cyber Collaboration Center – Cybersecurity Training and Education	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cxsocialmadrid.org ↗	62 match 1 shared topics	CXSocial by Telesign \| Collaborating Madrid area CX & Product leaders	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
csper.io ↗	61 match 1 shared topics	Csper: Content Security Policy made easy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
guestsecure.com ↗	61 match 1 shared topics	GuestSecure - Secure Guest ID Collection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
shadowsecops.com ↗	61 match 1 shared topics	Shadow SecOps \| Cybersecurity Collective	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
1geekydad.com ↗	61 match 1 shared topics	Joshua Slabiak, CISSP \| Cybersecurity Leader	en	information-and-network-security	robotsllmsaihumans	email phone	none
cyphernova1337.com ↗	61 match 1 shared topics	CypherNova1337 - Elite Cybersecurity Collective	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nwsoc.ai ↗	61 match 1 shared topics	NetWatchAI \| Enterprise Security. SMB Budget.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
guardedvpn.com ↗	61 match 1 shared topics	Guarded Vpn Services – Your Privacy Matters !	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
computernetworksolutions.ca ↗	61 match 1 shared topics	Secure My SMB – Cyber Security is our Business	Canada en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bestvpnprovider.info ↗	61 match 1 shared topics	Best VPN 2026: 10 Services I Ranked After 1,176 Tests	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
cspwatch.com ↗	61 match 1 shared topics	CSPWatch - Simple Content Security Policy Monitoring	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.