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Sites similar to carolstanding.com

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Carol Standing | Founder & Investor | Health, Wellness Commercial Growth — 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 Venture Capital →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
3sverdinvest.com ↗	67 match 1 shared topics	Venture Capital \| 3 Sverd Invest \| Angel investor \| Seed Funding \| Investor	en	venture-capital Wix	robotsllmsaihumans	emailphone	none
jasonwong.co ↗	67 match 1 shared topics	Jason Wong — eCommerce Entrepreneur & Angel Investor	Colombia en	venture-capital	robotsllmsaihumans	emailphone	none
lakamsani.me ↗	67 match 1 shared topics	Krishna Lakamsani \| Serial Entrepreneur, Investor & Venture Studio Founder	en	venture-capital WordPress Reaction Commerce	robots llmsaihumans	emailphone	none
etcapital.com ↗	67 match 1 shared topics	ETCapital \| investor in high-growth technology businesses	en	venture-capital WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dhandhasathi.com ↗	66 match 1 shared topics	Dhandhasathi — Find Business Partners & Investors in India	en	venture-capital	robotsllmsaihumans	emailphone	none
mdfahimnewaz.com ↗	66 match 1 shared topics	Aspiring VC Investor \| Building the Future	en	venture-capital	robotsllmsaihumans	emailphone	none
catalyst.com ↗	66 match 1 shared topics	Catalyst Investors \| Growth Equity \| New York	United States~ en	venture-capital WordPress	robotsllmsaihumans	emailphone	none
karenrands.co ↗	66 match 1 shared topics	Create Wealth Investors & Entrepreneurs - Karen Rands - Compassionate Capitalist	Colombia en	venture-capital WordPress	robotsllmsaihumans	emailphone	none
kugarandcapitalholdings.co ↗	66 match 1 shared topics	Create Wealth Investors & Entrepreneurs - Karen Rands - Compassionate Capitalist	Colombia en	venture-capital WordPress	robotsllmsaihumans	emailphone	none
lantschirky.com ↗	66 match 1 shared topics	Lan Tô Tschirky · Entrepreneur & Impact Investor	Switzerland~ en	venture-capital	robots llmsaihumans	emailphone	none
sibapanda.com ↗	66 match 1 shared topics	SIBA PANDA \| Founder, Capital Strategist & Business Builder	en	venture-capital	robotsllmsaihumans	email phone	none
lafayettemittelstandcapital.com ↗	66 match 1 shared topics	Lafayette Mittelstand Capital \| Special Situations Investor in SMEs	Germany~ en	venture-capital	robots llmsaihumans	emailphone	none
1stsoul.com ↗	66 match 1 shared topics	1st Soul Ventures \| a company builder and investor for innovative tech ventures.	en	venture-capital Wix	robotsllmsaihumans	emailphone	none
hexagonvg.com ↗	66 match 1 shared topics	Hexagon Ventures Group - Investment and counselling \| Hexagon Ventures Group	en	venture-capital	robotsllmsaihumans	emailphone	none
kpventures.com ↗	66 match 1 shared topics	Kaiser Permanente Ventures - Healthcare Venture Investing	United States~ en	venture-capital WordPress	robotsllmsaihumans	emailphone	none
laminarflowventures.com ↗	65 match 1 shared topics	Laminar Flow Ventures — Frictionless Growth Capital	en	venture-capital	robotsllmsaihumans	emailphone	none
est-partners.com ↗	65 match 1 shared topics	Navigating Founder Succession	en	venture-capital Wix	robots llmsaihumans	emailphone	none
etalonvc.com ↗	65 match 1 shared topics	Etalon Ventures – Our mission is to invest in and support founders building ethical solutions	en	venture-capital WordPress WooCommerce	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.