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Normisjon Bangladesh – Bringing hope and transformation to communities in Bangladesh. — 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
hrak.org ↗	70 match 1 shared topics	HRAK \| Supporting Communities in Bangladesh	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
donnawickes.com ↗	68 match 1 shared topics	Donna Wickes – Building Communities. Transforming Lives.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
proximitygap.com ↗	68 match 1 shared topics	Proximity Gap Network – Bringing Hope. Uniting Communities. Helping the One.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
skfoundationtrust.com ↗	68 match 1 shared topics	SK Foundation Trust – Empowering Communities in Lucknow & India	en	non-profit-organizations	robotsllmsaihumans	email phone	none
atulyacare.org ↗	67 match 1 shared topics	Transforming Rural Communities – Atulya Foundation’s Development Impact	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
gauchara.com ↗	67 match 1 shared topics	Gauchara - Empowering Communities, Transforming Lives	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
atltransformationalliance.org ↗	66 match 1 shared topics	ATL Transformational Alliance \| Leadership & Community Development	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	partial · 8
myhappyvillagecambodia.org ↗	66 match 1 shared topics	My Happy Village Cambodia – Bringing education, health and hope to the people in the Prey Chrouk Commune of Cambodia	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cred.org.uk ↗	66 match 1 shared topics	CRED Foundation – Transforming Lives	United Kingdom en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ctnglobalnetwork.org ↗	66 match 1 shared topics	Home - Care & Transformation network	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ekathvafoundation.org ↗	66 match 1 shared topics	Ekathva Foundation - Empowering Communities	en	non-profit-organizations	robotsllmsaihumans	email phone	none
siyapathafoundation.com ↗	66 match 1 shared topics	Empowering Communities – One Step at a Time	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ptpfoundation.com ↗	65 match 1 shared topics	PTP Foundation - Building Hope, Creating Impact, Transforming Lives	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
2mfoundation.org ↗	65 match 1 shared topics	2M Foundation \| Bringing people and technology together to create change	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
vrihnla.com ↗	65 match 1 shared topics	Vrihnla Foundation - Empowering the Transgender Community	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
100humanitarians.org ↗	65 match 1 shared topics	100 Humanitarians — Nonprofit Serving Communities in Kenya	en	non-profit-organizations	robots llmsaihumans	emailphone	none
atmlive.org ↗	65 match 1 shared topics	Alliance for Transformational Ministry \|	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
atwebembiregivinghandorganisation.com ↗	65 match 1 shared topics	Atwebembire Giving Hand — Empowering Communities	UG~ 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.