Ranked by positive engagement share

Share of each product's interactions that land on positive-sentiment posts (24-48h window). The bar is the crowd voting with its attention.

McDonald's Corporation

84%

Temu

51%

Starbucks Corporation

51%

NIKE, Inc.

47%

Uber Technologies, Inc.

42%

XBox

40%

Robinhood Markets, Inc.

38%

OpenAI

38%

Playstation

34%

Adidas

34%

Macbook

33%

Shein

32%

02 — THE DIVISIVE BOARD

Products the crowd fights about

Ranked by non-neutral share: high positive AND high negative at the same time. Divisive is not bad; it is engagement you can measure both sides of.

Product	Positive	Negative	Neutral	Non-neutral
McDonald's Corporation	84%	4%	12%	88%
Starbucks Corporation	51%	9%	40%	60%
Uber Technologies, Inc.	42%	15%	43%	57%
DoorDash, Inc.	7%	49%	44%	56%
Macbook	33%	23%	44%	56%
Temu	51%	4%	45%	55%
XBox	40%	12%	48%	52%
NIKE, Inc.	47%	5%	49%	51%
OpenAI	38%	12%	50%	50%
Shein	32%	17%	51%	49%

03 — THE PLATFORM SPLIT

Same product, five different moods

Per-network sentiment score (0-100). The Spread column is the gap between a product's warmest and coldest platform: brand teams read rows, allocators read the column.

Name	X	Reddit	TikTok	YouTube	Instagram	Spread
DoorDash, Inc.	78	72	13	62	–	65
Uber Technologies, Inc.	31	70	82	38	93	62
Macbook	55	82	78	49	100	51
Airbnb, Inc.	51	77	75	74	96	45
McDonald's Corporation	90	56	100	100	–	44
OpenAI	84	79	75	79	43	41
iPhone	86	79	74	76	48	38
Tesla, Inc.	86	68	51	72	64	35
Rivian	80	79	81	55	90	35
Spotify Technology S.A.	80	83	64	72	94	30
NIKE, Inc.	81	82	94	79	64	30
Playstation	70	73	81	78	98	28
Robinhood Markets, Inc.	86	91	73	79	100	27
Shein	92	91	70	84	97	27
Temu	73	74	95	93	98	25
Airpods	54	78	69	60	56	24
Starbucks Corporation	70	66	88	89	90	24
XBox	77	85	77	82	100	23
Netflix, Inc.	87	77	68	70	–	19
Adidas	77	89	81	84	70	19
Red Bull	75	–	–	–	–	0

04 — READ THIS BEFORE QUOTING IT

What this measures, precisely

Sentiment here is engagement-weighted: the share of interactions landing on posts classified positive, negative, or neutral. It answers "what mood is the crowd amplifying," not "what do owners think." A product can be beloved by its users and still bleed negative engagement when one video goes viral. That distinction is exactly why the per-network split matters: the platform where the mood breaks first is usually the story.

This page is a one-day snapshot. The commercial feed is the same measurement as a continuous hourly time series, per product, per network, with history.

05 — THE DATASET

Don't take our word for it

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

⬇ CSV (24 products × 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 is this exact measurement as continuous hourly time series with history, for any product, brand, or ticker universe. Most teams have it in a dashboard the same week.

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

Email Joe