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Make the world a better place | Caumit — 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
1fortheworld.org ↗	67 match 1 shared topics	One for the World	US~ en	non-profit-organizations Squarespace Magento	robotsllmsaihumans	emailphone	none
3etter.org ↗	67 match 1 shared topics	3etter \| A Permanent Fund for a Better World	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
samayenicoach.com ↗	66 match 1 shared topics	Home - A Better Outcome, Inc.	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
zwfoundation.com ↗	66 match 1 shared topics	ZW Foundation – For a better world, One human at a time	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
diasporabridge.org ↗	65 match 1 shared topics	Diaspora Bridge Inc. \| Connecting the World to Africa	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
azwaavolunteer.com ↗	65 match 1 shared topics	Azwa Volunteer Team \| Together We Build a Better Community	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
actionaid.org.au ↗	65 match 1 shared topics	ActionAid Australia \| Empower Women, Change the World	AU en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
1-percent-project.org ↗	65 match 1 shared topics	The one percent project – We devote 1% of our time and income to change the world for the better. Join us!	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
aawl.org.au ↗	64 match 1 shared topics	Australia Asia Worker Links – Workers change the world	AU en	non-profit-organizations WordPress	robotsllmsaihumans	email phone	none
2nd-street.org ↗	64 match 1 shared topics	2nd Street Second Chances \| Connecting with a better tomorrow	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
100fortomorrow.org ↗	64 match 1 shared topics	100 For Tomorrow - Building a better tomorrow, together.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
100fortomorrow.com ↗	64 match 1 shared topics	100 For Tomorrow - Building a better tomorrow, together.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
1dawomaninc.org ↗	64 match 1 shared topics	1DA Woman Inc – One Divinely Appointed Woman Can Change The World	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
banaifoundation.org ↗	64 match 1 shared topics	Banai Foundation – We help humanity have a better life	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
acumae.com ↗	64 match 1 shared topics	Acume \| Contextual experts for better development decisions	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
defiaqualunaire.org ↗	64 match 1 shared topics	Home \| Challenge Works	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
7bgives.org ↗	64 match 1 shared topics	All the 7B causes you care about. All in one place.	en	non-profit-organizations Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamkickworldmission.org ↗	64 match 1 shared topics	Dreamkick World Mission	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.