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 nivedraj.com

Nivedraj alternatives & similar sites

Nived Raj | Data Scientist — 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 Databases →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
adrianfrings.com ↗	74 match 1 shared topics	Adrian Frings \| Data Scientist	en	databases	robotsllmsaihumans	emailphone	partial · 8
kanishkachahar.info ↗	74 match 1 shared topics	Kanishka Chahar \| Data Scientist	en	databases	robotsllmsaihumans	emailphone	none
namudatascience.com ↗	71 match 1 shared topics	NAMU Data Science	en	databases	robotsllmsaihumans	emailphone	none
deeksh.com ↗	71 match 1 shared topics	Deekshita Sridhar — Data Scientist	en	databases	robotsllmsaihumans	emailphone	none
mehsan.tech ↗	70 match 1 shared topics	Muhammad Ehsan - Data Scientist Portfolio	en	databases	robotsllmsaihumans	emailphone	none
definedatascience.com ↗	70 match 1 shared topics	Home \| Define Data Science	en	databases Wix	robots llmsaihumans	emailphone	none
residentdatascientist.com ↗	70 match 1 shared topics	Home Version Six - Resident Data Scientist	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kulasooriya.online ↗	70 match 1 shared topics	Sanjana Nethmi — Data Scientist Portfolio	en	databases	robotsllmsaihumans	emailphone	none
adeebshaheed.com ↗	69 match 1 shared topics	Adeeb Shaheed - Data Analyst & Data Scientist	en	databases	robotsllmsaihumans	email phone	none
achrafmansari.com ↗	68 match 1 shared topics	Achraf Mansari \| Data Science Portfolio	en	databases	robotsllmsaihumans	emailphone	none
keyurdaswani.top ↗	68 match 1 shared topics	Keyur Daswani \| Data Science & Analytics	en	databases	robotsllmsaihumans	emailphone	none
my-cunymsds.com ↗	67 match 1 shared topics	MY CUNY Master Of Science In Data Science	en	databases	robotsllmsaihumans	emailphone	none
adssrn.org ↗	66 match 1 shared topics	Africa Data Science and Statistics Research Network	en	databases	robotsllmsaihumans	emailphone	none
knovatics.com ↗	66 match 1 shared topics	Knovatic Solutions – Data Science Engineering	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adhels.com ↗	66 match 1 shared topics	Adhel Siddique - Data Science & Analytics Analyst	en	databases	robotsllmsaihumans	emailphone	none
360datasystems.net ↗	66 match 1 shared topics	360 DATA SYSTEMS	en	databases	robotsllmsaihumans	emailphone	none
abhisheksyadav.com ↗	66 match 1 shared topics	Abhishek Subhash Yadav — Data Science & Analytics	en	databases	robotsllmsaihumans	emailphone	none
admeyo.com ↗	66 match 1 shared topics	Admeyo - Your gateway to the world of Data science !	en	databases WordPress	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.