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 hyperid.cloud

Hyperid alternatives & similar sites

Onboard Web 2.0 Users to Web3 Digital Identity — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
webcommodore.com ↗	66 match 2 shared topics	Web Commodore: Home of the Digital Proof Token	en	technology-and-computing	robotsllmsaihumans	emailphone	none
maritime-passport.com ↗	66 match 2 shared topics	Maritime Passport \| The Future of Seafarer Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1io.com ↗	66 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
digital-shokunin.net ↗	66 match 2 shared topics	Digital Shokunin	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bomberrie.com ↗	65 match 2 shared topics	Hyunbin / Dan — Digital Home	en	technology-and-computing	robotsllmsaihumans	emailphone	none
de-scriptions.org ↗	65 match 2 shared topics	de-scriptions.org – Decentralized Identity Inscription & Verification (Technical)	en	technology-and-computing	robotsllmsaihumans	emailphone	none
web3identity.com ↗	65 match 2 shared topics	Web3 Identity API \| 1708 Endpoints for ENS, Farcaster, Lens \| web3identity.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d-0g.com ↗	65 match 2 shared topics	d-0g.com — Digital Insights on Cybersecurity, AI & DevOps	en	technology-and-computing	robots llmsaihumans	emailphone	none
digitalant.guru ↗	65 match 2 shared topics	digital ant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalant.mobi ↗	65 match 2 shared topics	digital ant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalant.biz ↗	65 match 2 shared topics	digital ant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberchampions.my ↗	65 match 2 shared topics	Cyber Champions: Empowering Digital Security and Innovation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jamara.dev ↗	65 match 2 shared topics	Rashad Jamara — Auth & Identity Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agoraxinc.com ↗	64 match 2 shared topics	AGORA – Confidential RWA Auctions on Web3	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
csanchez.dev ↗	64 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
democruisemail.com ↗	64 match 2 shared topics	Rupt \| Know which users you can trust.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalreplica.org ↗	64 match 2 shared topics	DigitalReplica - DigitalReplica	en	technology-and-computing	robotsllmsaihumans	emailphone	none
hovis69.co.uk ↗	64 match 2 shared topics	Hovis69 – Digital Security & Forensics ~ Web Application & Cloud Testing	United Kingdom en	technology-and-computing WordPress	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.