Ranked by positive engagement share

Share of each figure's interactions landing on positive posts, 24-48h window, all five networks.

Tim Cook

98%

Lisa Su

88%

Taylor Swift

72%

Satya Nadella

65%

SUNDAR PICHAI

63%

Mark Zuckerberg

53%

Sam Altman

41%

Elon Musk

37%

MrBeast

35%

Cathie Wood

35%

Jensen Huang

24%

Warren Buffett

21%

Jamie Dimon

15%

Andy Jassy

Jerome Powell

02 — PERSON vs COMPANY

The executive premium (and discount)

Same methodology on the person and on their company's ticker. A large gap either way is signal: the crowd is telling different stories about the leader and the business.

Person	Company topic	Person +	Company +	Gap
Lisa Su	Advanced Micro Devices, Inc.	88%	10%	+78 pts
Tim Cook	Apple Inc.	98%	34%	+64 pts
Jamie Dimon	JPM	15%	72%	-57 pts
Andy Jassy	Amazon.com, Inc.	7%	51%	-43 pts
SUNDAR PICHAI	googl	63%	100%	-37 pts
Satya Nadella	Microsoft Corporation	65%	36%	+29 pts
Mark Zuckerberg	Meta	53%	29%	+24 pts
Elon Musk	Tesla, Inc.	37%	20%	+17 pts
Jensen Huang	NVDA	24%	37%	-13 pts

03 — THE PLATFORM SPLIT

Where each figure's crowd lives

Per-network sentiment score (0-100). The same person can run warm on TikTok and cold on X at the same hour; the spread column finds them.

Name	X	Reddit	TikTok	YouTube	Instagram	Spread
Jamie Dimon	27	33	90	82	100	84
Warren Buffett	67	100	56	76	100	79
Jerome Powell	66	38	71	65	100	62
Tim Cook	91	50	100	47	50	53
Jensen Huang	75	100	76	93	100	50
Cathie Wood	93	100	75	73	50	50
Andy Jassy	100	50	100	50	50	50
Satya Nadella	97	50	50	50	50	47
Lisa Su	93	50	50	50	50	43
Sam Altman	62	80	91	59	100	41
MrBeast	84	66	66	82	99	33
Mark Zuckerberg	83	82	93	81	100	19
Taylor Swift	88	87	98	88	100	13
Elon Musk	78	75	73	76	84	11
SUNDAR PICHAI	95	–	–	–	–	0

04 — READ THIS BEFORE QUOTING IT

What this is, and is not

This is the observed mood of engagement, not a poll, not approval, and not a prediction. People with enormous audiences accumulate enormous neutral engagement, which suppresses every share; that is why the gap column compares like with like. Snapshot taken 2026-07-22. The commercial feed tracks the same measurement hourly, with history, for any set of people, brands, or tickers.

05 — THE DATASET

Don't take our word for it

Every figure in this study: interactions, sentiment shares, per-network scores. No registration.

⬇ CSV (15 figures × 5 networks)⬇ AI guide (.md for your LLM)

The .md file is a companion brief for AI assistants: schema, methodology, and validation anchors. Drop it into Claude or ChatGPT next to the data and your model starts from the right place.

Talk to Joe

The commercial feed runs this measurement hourly with history for any watchlist of people, brands, or tickers, with point-in-time constituent handling for universes.

Joe Vezzani · Co-founder & CEO, LunarCrush · joe@lunarcrush.com

Email Joe