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 simonlermen.com

Simonlermen alternatives & similar sites

Simon Lermen — 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
lampsec.dev ↗	64 match 2 shared topics	LAMPSEC — Autonomous AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aletheialabs.org ↗	63 match 2 shared topics	Aletheia — An applied research lab working on the epistemic safety of frontier AI systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
algorithmicresearchgroup.com ↗	63 match 2 shared topics	Algorithmic Research Group — Open infrastructure for AI security research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0ximu.dev ↗	62 match 2 shared topics	0ximu \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alecharris.info ↗	62 match 2 shared topics	Alec Harris	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0xdkay.me ↗	62 match 2 shared topics	Dongkwan Kim \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devrand.org ↗	62 match 2 shared topics	Gavin Black, PhD — AI/ML Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xbenzo.dev ↗	62 match 2 shared topics	Tushar Bisht \| 0xbenzo	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 7
diffsec.dev ↗	62 match 2 shared topics	diff sec — open source AI for product security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pol-acc.com ↗	62 match 2 shared topics	ControlAI - Automated AI GRC Compliance and Safety	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
clone-systems.eu ↗	62 match 2 shared topics	Home - Clone Systems CY	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
krcrichton.com ↗	62 match 2 shared topics	Kyle Crichton	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devharsh.me ↗	61 match 2 shared topics	Devharsh Trivedi - PhD, CISSP, Privacy & Cryptography	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vmsecops.com ↗	61 match 2 shared topics	VM SecOps — Vasu Melipaka \| Senior Pentester & AI Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
korpalis.com ↗	61 match 2 shared topics	Korpalis Build with AI. Ship with confidence.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hermest.com ↗	61 match 2 shared topics	Hermest AI \| AI Architecture - Cloud Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mordavid.com ↗	61 match 2 shared topics	MOR DAVID - Penetration Tester \| AI Cyber Operator \| Cyber Security Expert \| Team Leader \| Red Team	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcbse.org ↗	61 match 2 shared topics	MCBSE \| Smarter AI Memory. Safer AI Output.	en	artificial-intelligence	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.