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 jarredhunter.dev

Jarredhunter alternatives & similar sites

Jarred Hunter — AI Security & Platform Engineering — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jaramie.com ↗	73 match 2 shared topics	Jaramie — Cybersecurity & AI Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
jarwis.ai ↗	73 match 2 shared topics	JARWIS - AI Security Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0xhunter.io ↗	73 match 2 shared topics	0xHunter - Continous Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thiagogoncalves.com ↗	72 match 2 shared topics	Thiago Goncalves — Senior Engineer · AI Platform & Security · Builder-Operator	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentfence.ai ↗	72 match 2 shared topics	AgentFence - The AI Security & Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctrlsec.io ↗	71 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
webvisionrank.com ↗	71 match 2 shared topics	WebVisionRank — AI Powered. Security First. Elite Engineering.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
thexar.com ↗	71 match 2 shared topics	thexar — AI Security Evaluation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dhwanitpandya.com ↗	71 match 2 shared topics	Dhwanit Pandya \| Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jalvarezz13.com ↗	71 match 2 shared topics	Javier Álvarez Páramo — Cybersecurity & AI Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agenthacker.ai ↗	70 match 2 shared topics	AgentHacker \| AI Adversarial Research & Security Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentsics.com ↗	70 match 2 shared topics	AGENTSICS - AI Agent Security Platform \| CyberWolf AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tigouetheory.com ↗	70 match 2 shared topics	CoreDirective \| Security Engineering, AI Automation & Tactical Content	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
thorngrade.com ↗	70 match 2 shared topics	ThornGrade — AI Security Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meetcoramai.org ↗	70 match 2 shared topics	Coram: Unified Physical Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jaredlog.com ↗	70 match 2 shared topics	Jared Evans — Information Security & AI Practice	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thomasdevos.com ↗	69 match 2 shared topics	Thomas Talks AI: AI Agent Security, Claude Code & Production Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
discovernightfall.com ↗	69 match 2 shared topics	Nightfall: AI Data Security & Data Loss Prevention 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.