similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 📇AI Crawler Database900+ AI user agents + robots.txt gen ⚖️AI Crawler ComparisonCompare two AI crawlers head-to-head 💰AI Licensing / Pay-Per-CrawlWho can charge AI crawlers — Pay-Per-Crawl 🎛️AI Robots.txt Policy BuilderGoal-based robots.txt (cite me, don't train)🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔎Similar Site SearchFind websites like any domain 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to divyashah.tech

Divyashah alternatives & similar sites

Divya Shah | Portfolio — 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
kevalvaria.com ↗	77 match 1 shared topics	Keval Varia \| Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
k0nnect.lol ↗	74 match 1 shared topics	personal portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aashutoshthakur.page ↗	74 match 1 shared topics	Aashutosh Thakur - Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ziuscyber.com ↗	74 match 1 shared topics	Aloysius Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
skedaddle.me ↗	74 match 1 shared topics	Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simonn.dev ↗	72 match 1 shared topics	SN portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
duncancyber.tech ↗	72 match 1 shared topics	Duncan Cyber · Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
julez.cat ↗	72 match 1 shared topics	Jules THIBAULT — Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fizno.info ↗	72 match 1 shared topics	Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mwen.dev ↗	72 match 1 shared topics	404@terminal — portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jvr2022.tech ↗	71 match 1 shared topics	Joshua van Rijswijk - Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nayon.me ↗	71 match 1 shared topics	Md. Mostofa Nayon - Portfolio	en	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
krutarthshah.site ↗	71 match 1 shared topics	Krutarth Shah - Cybersecurity & Software Developer \| Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ghazihaqim.com ↗	71 match 1 shared topics	Ghazi's portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
liamsec.blog ↗	70 match 1 shared topics	sec_portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
muztahidultanim.me ↗	70 match 1 shared topics	Personal Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kadiyansonal.info ↗	70 match 1 shared topics	CyberShield \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zisis.dev ↗	70 match 1 shared topics	Zisimos Amprazis \| Portfolio	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.