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Drkfoundation alternatives & similar sites

Global Venture Philanthropy for Social Entrepreneurs — 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
denaliimpact.com ↗	73 match 1 shared topics	Venture Philanthropy \| Denali Venture Philanthropy	en	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
dennyamrithagiri.com ↗	73 match 1 shared topics	Denny Thomas Chempazha \| Social Entrepreneur & Philanthropist	en	non-profit-organizations Webflow	robotsllmsaihumans	emailphone	none
cse-ms.org ↗	73 match 1 shared topics	Center for Social Entrepreneurship \| Home	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
svbasecamp.com ↗	70 match 1 shared topics	Silicon Valley Social Entrepreneur Basecamp	en	non-profit-organizations	robots llmsaihumans	emailphone	none
disabilityphilanthropy.org ↗	69 match 1 shared topics	Disability & Philanthropy Forum	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
bayanfamilyoffoundations.org ↗	69 match 1 shared topics	Bayan Family of Foundations \| Empowering Social Entrepreneurs & Impactful Community Development	PH~ en	non-profit-organizations	robots llmsaihumans	email phone	none
zwinafoundation.com ↗	69 match 1 shared topics	Zwina Foundation — Transforming Students into Social Entrepreneurs	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
saltirefoundation.com ↗	69 match 1 shared topics	Entrepreneurial Scotland	en	non-profit-organizations Craft CMS	robotsllmsaihumans	emailphone	none
100entrepreneurs.org ↗	68 match 1 shared topics	100 ENTREPRENEURS FOUNDATION - 100 Entrepreneurs Foundation	en	non-profit-organizations Weebly	robotsllmsaihumans	emailphone	none
digitalresilience.network ↗	68 match 1 shared topics	Global Network for Social Justice and Digital Resilience	en	non-profit-organizations WordPress WooCommerce	robots llmsaihumans	emailphone	none
dreamsindeed.org ↗	68 match 1 shared topics	Dreams InDeed International \| Strengthening Social Entrepreneurs	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sambitparida.com ↗	68 match 1 shared topics	Sambit Parida - Social Worker and Philanthropist \| Sambit Parida	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
carolinegellatly.com ↗	68 match 1 shared topics	Caroline Gellatly – Philanthropy	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
socialenterprise.org.uk ↗	68 match 1 shared topics	Home \| Social Enterprise UK	GB en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
culturalskies.org ↗	68 match 1 shared topics	The World of Social Entrepreneurship – Pooling global resources to effect change in the world ™	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
deshrk.com ↗	68 match 1 shared topics	Deshrk – Social Worker for Health, Education	en	non-profit-organizations WordPress	robots llmsaihumans	emailphone	none
crystalhayling.com ↗	67 match 1 shared topics	crystalhayling \| writings and images about the social sector, philanthropy, life…	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cultivatetraining.org ↗	67 match 1 shared topics	Cultivate - Training for Social Change	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	partial · 3

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.