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 jaimansharma.dev

Jaimansharma alternatives & similar sites

Jaiman Sharma | Cybersecurity + Software Engineering - Automation Focused — 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
cyberlion.pro ↗	72 match 1 shared topics	Technical Localization for IT, Cybersecurity & Engineering \| CYBERL10N	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ahmed-hani.com ↗	72 match 1 shared topics	Ahmed Hani \| Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	email phone	none
dhirajjadhav.tech ↗	72 match 1 shared topics	Dhiraj Jadhav - Cybersecurity & Software Engineer	en	information-and-network-security	robotsllmsaihumans	email phone	none
ahmedrabeeah.com ↗	72 match 1 shared topics	Ahmed Rabeeah \| Cybersecurity Engineer II	en	information-and-network-security	robotsllmsaihumans	emailphone	none
singerean.digital ↗	71 match 1 shared topics	Tudor-Cristian Sîngerean - Cybersecurity Engineering Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jaedonchin.dev ↗	71 match 1 shared topics	Jaedon Chin \| Cybersecurity & Systems Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatdivision.com ↗	71 match 1 shared topics	ThreatDivision — Cybersecurity & Automation for Modern Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jackbenning.dev ↗	70 match 1 shared topics	Jack Benning - Software Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jasondgrob.com ↗	70 match 1 shared topics	Jason D. Grob \| System Security Engineering & Cybersecurity Leadership	en	information-and-network-security	robotsllmsaihumans	emailphone	none
javiddovlatov.com ↗	70 match 1 shared topics	Javid Dovlatov \| Cybersecurity & Network Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhubafrica.biz ↗	70 match 1 shared topics	CyberHub \| cybersecurity solutions	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
cyberhub.biz ↗	70 match 1 shared topics	CyberHub \| cybersecurity solutions	en	information-and-network-security Wix	robots llmsaihumans	emailphone	partial · 8
jasonshepherd.net ↗	70 match 1 shared topics	Secure Software Engineering – with Jason Shepherd	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jamesebiloma.com ↗	70 match 1 shared topics	James Ebiloma \| Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sbmtechsolutions.com ↗	70 match 1 shared topics	SBM Tech \| Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
csaalliance.io ↗	69 match 1 shared topics	CyberSecure Automation Alliance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jalaly.com ↗	69 match 1 shared topics	Mansour Jalaly — Security Engineering	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
markeldo.com ↗	69 match 1 shared topics	Mark Eldridge – Security, software engineering, and technology.	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.