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Qbit404 alternatives & similar sites

qbit404 — quantum threat intelligence — 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
cyberthreatintelpodcast.com ↗	74 match 2 shared topics	Cyber Threat Intelligence Podcast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
addressplus.chat ↗	68 match 2 shared topics	AddressPlus - Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spyonweb.net ↗	68 match 2 shared topics	SpyOnWeb — Domain Intelligence & Reverse Lookup Tool	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
en3.com ↗	68 match 2 shared topics	EN3 — Infrastructure Security & Cost Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
domscan.net ↗	67 match 2 shared topics	DomScan - Domain Intelligence API for Developers	en	information-and-network-security	robots llmsaihumans	emailphone	none
depoversight.com ↗	67 match 2 shared topics	DepOversight — Dependency intelligence before disclosure	en	information-and-network-security	robots llmsaihumans	emailphone	none
dependencylens.com ↗	67 match 2 shared topics	DependencyLens \| Dependency Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyfirma.com ↗	67 match 2 shared topics	Predictive Threat Intelligence \| Preemptive External Threat Landscape Management \| Cybersecurity Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
decyfir.io ↗	67 match 2 shared topics	Predictive Threat Intelligence \| Preemptive External Threat Landscape Management \| Cybersecurity Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
rogolabs.net ↗	67 match 2 shared topics	RogoLabs – Open Vulnerability Intelligence Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stackgraveyard.dev ↗	66 match 2 shared topics	Stack Graveyard - npm & Python Dependency Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0daysec.xyz ↗	66 match 2 shared topics	Zer0day Sec \| Web3 Security Intelligence & Audits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
episap.net ↗	65 match 2 shared topics	EpiSAP Quantum Vault — Post-Quantum Privacy & Attribution Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
riskbasedsecurity.com ↗	65 match 2 shared topics	Flashpoint Acquires Vulnerability Intelligence Leader Risk Based Security \| Flashpoint	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
root2sec.com ↗	65 match 2 shared topics	Root2Sec - Cybersecurity Intelligence - Cybersecurity Intelligence Blog	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
acquireaudit.xyz ↗	65 match 2 shared topics	gitcense \| Technical Due Diligence For SaaS Acquisitions	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cultofintellect.com ↗	65 match 2 shared topics	Cult of Intellect	en	technology-and-computing	robotsllmsaihumans	emailphone	none
gitcense.com ↗	65 match 2 shared topics	gitcense \| Technical Due Diligence For SaaS Acquisitions	en	technology-and-computing	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.