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John Heilemann

Celebrities and Influencers
Journalists
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Seven of John Heilemann's ten nearest neighbors by audience shape are fellow journalists, with the remaining three drawn from adjacent political-commentary roles — an academic, a politician, and a government official. Similarity here measures how closely two entities' audiences resemble each other in composition; scores across the top 10 run from 0.98 at the high end down to 0.98 at the low end, a band so compressed it confirms the flat shape: no single neighbor dominates, and no meaningful gap separates them.

Stephanie Ruhle leads at 0.99, followed closely by Matthew Miller at 0.99 and Philip Rucker at 0.98. Joe Scarborough and Neal Katyal tie at 0.98, with Natasha Bertrand and John Harwood just behind. The three non-journalist neighbors — George Conway at 0.98, Norm Eisen at 0.98, and Jennifer Rubin at 0.98 — are all figures whose public presence centers on political and legal commentary, consistent with the broader cluster character. No entertainers, no brand accounts, and no athletes appear in the top 10; the neighbor set is tightly confined to political-media and commentary figures.

The flat shape and narrow score range together indicate an audience that is highly specific in its composition — one that tracks closely with a well-defined political-journalism and legal-commentary ecosystem rather than spilling into adjacent entertainment or general-interest audiences.

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": "jheil", "title": "John Heilemann", "category": "Celebrities and Influencers", "subcategory": "Journalists", "resolved": "jheil", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "sruhle", "title": "Stephanie Ruhle", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9876, "drivers": [ "A02", "J02", "G01", "A01", "J01" ] }, { "handle": "matthewamiller", "title": "Matthew Miller", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9865, "drivers": [ "A02", "J02", "G01", "A01", "J01" ] }, { "handle": "philiprucker", "title": "Philip Rucker", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9839, "drivers": [ "A02", "G01", "J02", "A01", "G03" ] }, { "handle": "joenbc", "title": "Joe Scarborough", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9829, "drivers": [ "A02", "J02", "A01", "G01", "J01" ] }, { "handle": "neal_katyal", "title": "Neal Katyal", "category": "Celebrities and Influencers", "subcategory": "Academics", "similarity": 0.9829, "drivers": [ "A02", "J02", "G01", "A01", "J01" ] }, { "handle": "natashabertrand", "title": "Natasha Bertrand", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9819, "drivers": [ "A02", "G01", "J02", "A01", "G03" ] }, { "handle": "johnjharwood", "title": "John Harwood", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9815, "drivers": [ "A02", "G01", "J02", "A01", "J01" ] }, { "handle": "gtconway3d", "title": "George Conway", "category": "Celebrities and Influencers", "subcategory": "Politicians", "similarity": 0.9805, "drivers": [ "A02", "J02", "A01", "G01", "J01" ] }, { "handle": "normeisen", "title": "Norm Eisen", "category": "Celebrities and Influencers", "subcategory": "Government Officials", "similarity": 0.9796, "drivers": [ "A02", "G01", "J02", "A01", "J01" ] }, { "handle": "jrubinblogger", "title": "Jennifer Rubin", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9791, "drivers": [ "A02", "A01", "J02", "G01", "J01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: