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Fundación Inti Phajsi – Cambiar el Mundo es posible – lo hacemos cada día — 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
mypositiveaction.org ↗	63 match 1 shared topics	Acción Positiva	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
100whocarecapeann.org ↗	63 match 1 shared topics	100 Women Who Care – Cape Ann – The Power of 100	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
intok.app ↗	63 match 1 shared topics	INTOK - Empoderando el Cambio Social	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
100wwcmadison.org ↗	63 match 1 shared topics	100+ Women Who Care – Madison – Local women. Local impact.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
livelihoodssolutionsinternational.com ↗	63 match 1 shared topics	LSI – Livelihoods Solutions International	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
przekrojfoundation.com ↗	63 match 1 shared topics	Przekrój.pl – Fundacja	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
catemvallarta.com ↗	62 match 1 shared topics	Catem Puerto Vallarta – Confederación Autónoma de Trabajadores y Empleados de México	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csrtree.com ↗	62 match 1 shared topics	CSR Tree – Capacity Building for NGOs	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
csrtree.org ↗	62 match 1 shared topics	CSR Tree – Capacity Building for NGOs	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
csi-kenya.org ↗	62 match 1 shared topics	Home - CSI – KENYA	en	non-profit-organizations WordPress	robots llmsaihumans	emailphone	none
auroramundi.org ↗	62 match 1 shared topics	Aurora Mundi – A Global Network for Social Entrepreneurship	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
horseshelpingchildren.org ↗	62 match 1 shared topics	Jesses Place Foundation – 501(c) (3)	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
houssianfoundation.org ↗	62 match 1 shared topics	The Houssian Foundation – The Houssian Foundation website – Committed to community, gender justice, climate and nature.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
100mensd.com ↗	62 match 1 shared topics	100 Men Who Care – San Diego – One Hour. One Cause. Real Change.	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
augustfamilyfoundation.com ↗	62 match 1 shared topics	August Family Foundation - Achieving The Impossible - Kelowna, BC	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
livelovemalawi.com ↗	62 match 1 shared topics	Live Love Malawi – Live Love Malawi	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2025.coop ↗	62 match 1 shared topics	UN International Year of Cooperatives 2025 – Cooperatives for a Better World	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ctfqba.com ↗	62 match 1 shared topics	加拿大多伦多福清商会 – CANADA TORONTO FUQING BUSINESS ASSOCATION	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.