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Sambit Parida - Social Worker and Philanthropist | Sambit Parida — 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 Non Profit Organizations →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
denisefraile.com ↗	72 match 1 shared topics	Denise Fraile \| Palm Beach Philanthropist	en	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
dennyamrithagiri.com ↗	71 match 1 shared topics	Denny Thomas Chempazha \| Social Entrepreneur & Philanthropist	en	non-profit-organizations Webflow	robotsllmsaihumans	emailphone	none
susanolde.com ↗	69 match 1 shared topics	Susan A. Olde OBE, Philanthropist, Mentor and Advocate	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
denaliimpact.com ↗	68 match 1 shared topics	Venture Philanthropy \| Denali Venture Philanthropy	en	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
crystalhayling.com ↗	68 match 1 shared topics	crystalhayling \| writings and images about the social sector, philanthropy, life…	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
drkfoundation.org ↗	68 match 1 shared topics	Global Venture Philanthropy for Social Entrepreneurs	en	non-profit-organizations WordPress	robots llmsaihumans	emailphone	none
deranaseebda.com ↗	68 match 1 shared topics	Paras Parivaar \| Social Service & Kundali by Paras Bhai	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
csphilanthropic.com ↗	68 match 1 shared topics	CS Philanthropic - CSPhilanthropic	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cwiponline.org ↗	67 match 1 shared topics	Chicago Women in Philanthropy \| Home	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
susanaureliagitelson.com ↗	67 match 1 shared topics	Guide to Ethical Giving and Philanthropy \| Susan Aurelia Gitelson	en	non-profit-organizations WordPress WooCommerce	robots llmsaihumans	emailphone	none
disabilityphilanthropy.org ↗	67 match 1 shared topics	Disability & Philanthropy Forum	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
100womenwhocareri.com ↗	67 match 1 shared topics	100 Women Who Care RI \| women in philanthropy	en	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
carolinegellatly.com ↗	67 match 1 shared topics	Caroline Gellatly – Philanthropy	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
swatianilkanherpatil.com ↗	67 match 1 shared topics	Swati Kanher Patil – Women Philanthropist from Buldhana, Maharashtra Empowering Communities \| Swati Anil Kanher Patil	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
carvakfoundation.com ↗	67 match 1 shared topics	Carvak Foundation Home Page	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
avrohomprager.com ↗	67 match 1 shared topics	Official Website of Avrohom Prager \| Discover and Support Community Initiatives	en	non-profit-organizations Squarespace Spree Commerce	robotsllmsaihumans	emailphone	none
cvgiving.org ↗	66 match 1 shared topics	CV Giving Day \| Coachella Valley Philanthropy & Giving	en	non-profit-organizations Ghost	robotsllmsaihumans	emailphone	none
4cards.org ↗	66 match 1 shared topics	4 Cards Foundation - Serving Ft. Liberty & Greater Fayetteville, NC \| 4 Cards Foundation	en	non-profit-organizations	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.