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Sites similar to deepresearch.cloud

Deepresearch alternatives & similar sites

Deep Research — 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
0ximu.dev ↗	70 match 2 shared topics	0ximu \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdkay.me ↗	69 match 2 shared topics	Dongkwan Kim \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberlab.biz ↗	68 match 2 shared topics	CyberLab — AI Security Research Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
medullainstitute.org ↗	68 match 2 shared topics	Medulla AI Security Research Institute	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
red4research.org ↗	67 match 2 shared topics	RED4 RESEARCH - THEORY → MECHANISM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
raoufabedini.dev ↗	67 match 2 shared topics	Mohammad Raouf Abedini \| AI Security Researcher	Australia~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
astroware.ai ↗	67 match 2 shared topics	Astroware Inc. - AI Alignment & Security Research	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
rdap.ai ↗	66 match 2 shared topics	RDAP.AI - Private, Secure Domain Research	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
asmaareda.com ↗	66 match 2 shared topics	Asmaa Omar \| Cybersecurity & AI Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kaustubhchude.com ↗	66 match 2 shared topics	Kaustubh Chude \| Research Engineer & Tech Consultant	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
gtrepo.com ↗	66 match 2 shared topics	GTRepo — Free Cybersecurity Tools & Zero Trust AI Research	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
phantom3cyber.com ↗	66 match 2 shared topics	Phantom3 Cyber - Cybersecurity Research & Consultancy	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
ekagrazi.com ↗	66 match 2 shared topics	Ekagra Gupta — Developer \| AI Engineer \| Security Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ractor.tech ↗	65 match 2 shared topics	Rohit Dongre — AI Security Researcher & Bug Hunter \| ractor.tech	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icarit.org ↗	65 match 2 shared topics	ICARIT2026 \| Applied Research & Information Technologies	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
guruvishal.com ↗	65 match 2 shared topics	Guru Vishal \| Software Engineer, AI Engineer & Cybersecurity Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
miguelbigueur.com ↗	65 match 2 shared topics	Decentralized Intelligence \| Innovate, Secure, Empower: AI and DLT Research	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ntr-kenya.org ↗	64 match 2 shared topics	NorthernTribe Research \| Enterprise AI, Cybersecurity, Research, And Product Platforms	en	artificial-intelligence	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.