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 kawshik.dev

Kawshik alternatives & similar sites

Kawshik Ahmed Ornob — Security, AI & Full-Stack Engineer — 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
briangreunke.com ↗	71 match 2 shared topics	Brian Greunke — AI Security & Engineering	en	artificial-intelligence	robots llmsaihumans	emailphone	none
breachline.io ↗	70 match 2 shared topics	Breachline — Your AI Security Engineer	United Kingdom~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
dccyberlawyer.com ↗	69 match 2 shared topics	Cybersecurity, AI, and Privacy	United States~ en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
dcailaw.com ↗	69 match 2 shared topics	Cybersecurity, AI, and Privacy	United States~ en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
dcailawyer.com ↗	69 match 2 shared topics	Cybersecurity, AI, and Privacy	United States~ en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
mytecz.com ↗	69 match 2 shared topics	mytecz - AI & Cybersecurity Innovators	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sienaradvanced.com ↗	68 match 2 shared topics	Sienar Advanced Solutions \| Cybersecurity, AI & Digital Forensics	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
siegepal.com ↗	68 match 2 shared topics	SiegePal - Cybersecurity & AI Engineering for B2B	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberlab.biz ↗	68 match 2 shared topics	CyberLab — AI Security Research Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybrcon.com ↗	68 match 2 shared topics	Cybrcon — AI Governance & Cybersecurity Compliance Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepbrainvision.com ↗	68 match 2 shared topics	DeepBrainVision — AI Consulting & Cybersecurity	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
n2itsec.com ↗	68 match 2 shared topics	N2iT Security — Secure AI Adoption & Fractional CIO / CTO / CISO	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ianroth.io ↗	68 match 2 shared topics	Ian Roth — Security Product Leader & Founder	en	information-and-network-security	robotsllmsaihumans	emailphone	none
leonchu.com ↗	68 match 2 shared topics	Leon Chu \| AI Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
acecyberconsult.com ↗	68 match 2 shared topics	Acelogic Cyber Consulting LLC \| Security Reviews, Reverse Engineering & AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detecteng.ai ↗	68 match 2 shared topics	detecteng.ai — Security Coverage Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
alphametics.com ↗	67 match 2 shared topics	Alphametics Inc. – AI-Enabled Engineering for Secure Enterprises	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
btencyber.com ↗	67 match 2 shared topics	Brad Tenenholtz \| Cybersecurity, AI, and Geopolitics	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.