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 krishnaneupane.com

Krishnaneupane alternatives & similar sites

Krishna Neupane — 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
vollo.dev ↗	65 match 2 shared topics	Matthew Vollo \| DevSecOps Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alexberndt.dev ↗	65 match 2 shared topics	Alex Berndt \| Senior Sales Engineer – Cloud-Native Security & CNAPP	Germany~ en	cloud-computing	robotsllmsaihumans	emailphone	partial · 6
lamdn.dev ↗	64 match 2 shared topics	DevSecOps Engineer & Security Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devsecopsinc.io ↗	64 match 2 shared topics	DevSecOps, Inc	en	cloud-computing	robotsllmsaihumans	emailphone	none
kouchaoui.com ↗	64 match 2 shared topics	KOUCHAOUI Mohamed - DevSecOps Engineer & Full-Stack Developer	en	cloud-computing	robots llmsaihumans	emailphone	none
moreno.io ↗	64 match 2 shared topics	Anthony Moreno - moreno.io	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csachapter.io ↗	63 match 2 shared topics	Find a CSA Chapter Near You \| CSA	en	information-and-network-security	robotsllmsaihumans	emailphone	none
365azureguy.com ↗	63 match 2 shared topics	Justin Burton — 365 Azure Guy	en	cloud-computing	robotsllmsaihumans	emailphone	none
sidsecops.com ↗	63 match 2 shared topics	SidSecOps \| AWS Security, CloudOps & Cost Optimization	en	cloud-computing	robotsllmsaihumans	email phone	none
2bsip.com ↗	63 match 2 shared topics	2bSIP - Security Improvement Program \| Cloud Security Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bazandbourke.com ↗	63 match 2 shared topics	Baz & Bourke — Architect OS	en	cloud-computing	robotsllmsaihumans	emailphone	none
alevsk.dev ↗	63 match 2 shared topics	Lenin Alevski - Professional Cloud Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alexchih.org ↗	63 match 2 shared topics	Alex Chih - Security Specialist Solutions Architect - Alex Chih	en	cloud-computing	robotsllmsaihumans	emailphone	none
vodospadgroup.com ↗	63 match 2 shared topics	VODOSPAD Group — IT Engineering, Cloud & Cybersecurity	en	cloud-computing	robotsllmsaihumans	emailphone	none
conditionalaccess.com ↗	63 match 2 shared topics	Conditional Access	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ethiopiandemena.com ↗	63 match 2 shared topics	Ethiopian Demena - DevSecOps Engineering & Secure Full Stack Development	en	cloud-computing	robotsllmsaihumans	email phone	none
heylu.com ↗	63 match 2 shared topics	Hybrid Multicloud App Security & Delivery for the AI Era \| F5	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
krsptech.com ↗	63 match 2 shared topics	KRSP Tech Solutions - Cloud Security & Compliance Experts	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.