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23andMe

Brands
Healthcare

The top 10 neighbors for 23andMe span tech personalities, health journalists, academics, and medical publications — with no single dominant pull and scores compressed tightly between 0.93 and 0.95. That flat distribution is the structural finding: this audience doesn't cluster around one kind of entity; it sits at the intersection of several.

The shape is driven by a mix of subcategories. Atul Gawande (0.95, Academics) and Eric Topol (0.94, Professionals) represent the health-science intellectual strand. Naval Ravikant (0.95) and Chamath Palihapitiya (0.94), both Tech Personalities, sit nearly as close. Ars Technica (0.95, Website) and MIT Technology Review (0.94, Magazine) anchor a tech-media thread. Tim Ferriss (0.94, Authors) and NPR Health News (0.94, News Publisher) round out the range. Tallying the top 10: five are Celebrities and Influencers (two Tech Personalities, one Academic, one Professional, one Author), four are Marketing Channels (two Websites, one Magazine, one News Publisher), and one is a Grocery & Food Retail brand — Trader Joe's (0.94), the most structurally unexpected entry in the set.

No other Healthcare brand appears in the top 10, meaning 23andMe's nearest audience shapes are defined almost entirely by tech-media and health-intellectual figures rather than by peer brands in its own subcategory.

The overall picture is an audience that reads across science, technology, and ideas — one that doesn't resolve neatly into any single content vertical.

Playground →Docs

Nearest neighbors by audience shape

Cosine similarity over Persona Live audience composition.
"Entities whose overall audience profile most closely matches this one — people who follow one tend to follow the other."

Raw data

Attention graph /similar sample results  (free):
{ "handle": "23andme", "title": "23andMe", "category": "Brands", "subcategory": "Healthcare", "resolved": "23andme", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "atul_gawande", "title": "Atul Gawande", "category": "Celebrities and Influencers", "subcategory": "Academics", "similarity": 0.9492, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "naval", "title": "Naval Ravikant", "category": "Celebrities and Influencers", "subcategory": "Tech Personalities", "similarity": 0.9461, "drivers": [ "G01", "A02", "G03", "A06", "J01" ] }, { "handle": "arstechnica", "title": "Ars Technica", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.9457, "drivers": [ "G01", "G03", "A02", "A06", "A03" ] }, { "handle": "erictopol", "title": "Eric Topol", "category": "Celebrities and Influencers", "subcategory": "Professionals", "similarity": 0.9431, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "tferriss", "title": "Tim Ferriss", "category": "Celebrities and Influencers", "subcategory": "Authors", "similarity": 0.9423, "drivers": [ "G01", "A02", "G03", "J01", "A01" ] }, { "handle": "chamath", "title": "Chamath Palihapitiya", "category": "Celebrities and Influencers", "subcategory": "Tech Personalities", "similarity": 0.9398, "drivers": [ "G01", "A02", "G03", "A06", "J01" ] }, { "handle": "nprhealth", "title": "NPR Health News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9392, "drivers": [ "G01", "A02", "G03", "J01", "A01" ] }, { "handle": "timoreilly", "title": "Tim O'Reilly", "category": "Celebrities and Influencers", "subcategory": "Tech Personalities", "similarity": 0.9376, "drivers": [ "G01", "A02", "G03", "A06", "J01" ] }, { "handle": "techreview", "title": "MIT Technology Review", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.9375, "drivers": [ "G01", "G03", "A02", "A06", "A03" ] }, { "handle": "harvardbiz", "title": "Harvard Business Review", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.9374, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: