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Tulsiani-Trust – SHAPING LIVES & COMMUNITIES — 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
jeiwo.org ↗	70 match 1 shared topics	JEIWO – Empowering Communities, Transforming Lives	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
donnawickes.com ↗	70 match 1 shared topics	Donna Wickes – Building Communities. Transforming Lives.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
bofoundationglobal.org ↗	69 match 1 shared topics	B.O Foundation, Empowering Communities, Changing Lives	en	non-profit-organizations	robotsllmsaihumans	email phone	none
mcc-communities.org ↗	68 match 1 shared topics	MCC Communities - Home	en	non-profit-organizations Weebly	robotsllmsaihumans	emailphone	none
gurukulfoundation.com ↗	68 match 1 shared topics	Gurukul Foundation – Empowering Communities, Transforming Lives	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	email phone	none
raavanathalaigal.org ↗	68 match 1 shared topics	Raavana Thalaigal Trust NGO \| Empowering Communities	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
radasafi.org ↗	68 match 1 shared topics	Rada Safi - Empowering Communities, Transforming Lives	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
6stones.org ↗	68 match 1 shared topics	6 Stones \| Catalyst of Hope Transforming Lives and Communities - 6 STONES	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
quadcitiesfoundation.org ↗	68 match 1 shared topics	Quad Cities Community Foundation / Generosity lives here.	United States~ en	non-profit-organizations Squarespace	robotsllmsaihumans	email phone	none
tvkgermany.com ↗	68 match 1 shared topics	TVK Germany – Empowering Tamil & Indian Communities	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
2africa.org ↗	67 match 1 shared topics	Give to Africa – Smarter Giving. Stronger Communities	en	non-profit-organizations WordPress WooCommerce	robots llmsaihumans	emailphone	none
theinnovatefund.com ↗	67 match 1 shared topics	The Innovate Fund – Transforming Communities	United States~ en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
buildingstrongercommunitiespc.com ↗	67 match 1 shared topics	Building Stronger Communities PC	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
radhakishori.org ↗	67 match 1 shared topics	Radha Kishori Trust – Nourishing Lives with Love and Purpose	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
buildinghopecommunities.org ↗	67 match 1 shared topics	Building Hope Communities – Restorative Housing	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
building.community ↗	67 match 1 shared topics	Building Community	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
mckinneycommunityfoundation.com ↗	67 match 1 shared topics	Where Giving Thrives - Communities Foundation Of Texas	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
100whogive.com ↗	67 match 1 shared topics	100 Who Give – Building Local Philanthropic Communities	en	non-profit-organizations 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.