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TANRIKS – Baraza La Diaspora Watanzania Sweden — 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
elgondiaspora.org ↗	64 match 1 shared topics	Welcome To Elgon Diaspora	United States~ en	non-profit-organizations	robotsllmsaihumans	emailphone	none
eidfonline.org ↗	64 match 1 shared topics	Home - Egbokor in Diaspora Foundation	United States~ en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
au-community.org ↗	64 match 1 shared topics	African Unified Community – Empowering Africans in the Diaspora	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	email phone	none
volunteertanzaniahub.com ↗	64 match 1 shared topics	Volunteer Tanzania Hub – Volunteer in Tanzania & Create Real Impact	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
assomoronisahara.com ↗	64 match 1 shared topics	Association Diaspora des Jeunes de Moroni Sahara – Solidarité, Éducation, Projets	France~ en	non-profit-organizations	robotsllmsaihumans	emailphone	none
ekande.org ↗	63 match 1 shared topics	Ekande - Empowering Tanzania's Youth & Women	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
atsd-tz.org ↗	63 match 1 shared topics	ATSD Nonprofit \| Empowering Rural Tanzania to End Poverty & Inequality	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
mypersis.org ↗	62 match 1 shared topics	MyPERSIS – PERKESO	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
1tahanan.org ↗	62 match 1 shared topics	1TAHANAN – Be A Volunteer NOW	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
latlit.eu ↗	62 match 1 shared topics	Latvia-Lithuania Programme – Interreg VI-A Latvia-Lithuania Programme 2021–2027	European Union en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
donnawickes.com ↗	62 match 1 shared topics	Donna Wickes – Building Communities. Transforming Lives.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
attpioneers.org ↗	62 match 1 shared topics	AT&T Pioneers – A Volunteer Network	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
audaciousvoices.org ↗	62 match 1 shared topics	Audacious Voices – Inspire to empower	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
auroralb.org ↗	62 match 1 shared topics	Aurora Foundation – One Step Forward	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aurora-lb.org ↗	62 match 1 shared topics	Aurora Foundation – One Step Forward	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
activists.org.uk ↗	62 match 1 shared topics	Activists Without Borders – AWB Team	United Kingdom en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
3billionstories.com ↗	62 match 1 shared topics	3 Billion Stories – Track your Story	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
asteyaservices.com ↗	62 match 1 shared topics	Asteya Services – Build A credible & effective social sector.	en	non-profit-organizations WordPress	robotsllmsaihumans	email phone	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.