@angus.sewell
Instagram · Greenscreen Talking Head
@angus.sewell Not financial advice BUT if you want the prompts comment “signal” and I’ll send em your way #ai #buildwithai #vibecoding
Trending short videosAI predicts company death via reviews
The edit1 shot · 1 text
Shots Text1:02
Performance
- Views
- 655.8K
- Likes
- 17.1K
- Comments
- 1.3K
- Engagement
- 2.8%
- Outlier
- 32.6×
- Length · 9 Oct 2026
- 1:02
Video #44519 · Greenscreen Talking Head
AI predicts company death via reviewsfrom @angus.sewell
[01]
Overview
The creator explains a step-by-step workflow for using AI to analyze the tone of Amazon product reviews over time, demonstrating how this data can be correlated with a company's financial performance and stock price to potentially predict its decline. He uses Nike as an initial example and Logitech as a running visual case study, referencing a University of Michigan study to support his claims before ending with a call-to-action for his AI-focused content.
[02]
Simple outline
- 1State a bold, predictive claim
- 2Reveal a hidden data source
- 3Provide a step-by-step method
- 4Show the correlated result
- 5State the universal principle
[03]
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Classification
Format
Concepts
Elements
Account
[05]
Hook analysis
What stops the scroll in the first 3 seconds
Title hook · 55%
How to predict a company's death
Verbal hook · 40%
Apparently, the death of Nike could have been predicted through vibe coding.
Visual hook · 5%
Extreme close-up of the creator's face, composited over a vibrant, neon-red background of a Nike store at night, creating high visual contrast and immediate interest.
[06]
Hook template
Steal this for your own video
How to predict of
- — How to predict the death of a restaurant
- — How to predict the next viral song
- — How to predict the collapse of a friendship
[07]
Hook and payoff
The promise the opener makes, and how the video pays it back
Hook
Make a shocking, high-stakes claim about a well-known entity, introducing a novel, esoteric term for the method.
Payoff
Provide a necessary disclaimer to manage liability, then pivot to a call-to-action that reframes the video's value for a specific niche audience, solidifying community identity.
[08]
Narrative framework
The structural pattern this video runs on
Framework
The Hidden Signal Blueprint
Revealing a counter-intuitive predictive model by connecting an overlooked, qualitative data source to a quantifiable, high-stakes outcome, and then providing a replicable method to prove it.
- 1
The Credibility Anchor
Justify the claim by citing an authoritative source (like a study or expert) while using self-deprecating humor to build rapport and disarm skepticism.
- 2
The Replicable Method
Break down the complex process into a clear, step-by-step 'how-to' guide, demonstrating that the secret knowledge is accessible and empowering the viewer.
- 3
The Data Fusion Escalation
Dramatically raise the stakes by revealing how to connect the 'hidden' qualitative data to official, high-consequence quantitative data, creating a moment of revelation.
- 4
The Visual Proof
Present a chart or other visual evidence that clearly demonstrates the correlation between the hidden signal and the official outcome, making the abstract concept concrete.
- 5
The Scientific Justification
Revisit the authoritative source to provide the underlying scientific or logical reason *why* the correlation exists, satisfying the viewer's curiosity.
- 6
The Universal Rule
Distill the entire complex finding into a simple, memorable, and predictive 'if-then' statement that serves as the core, actionable takeaway.
Themes
Techniques
Trends
Post caption
Not financial advice BUT if you want the prompts comment “signal” and I’ll send em your way #ai #buildwithai #vibecoding
Text overlays
title · beginning
How to predict a company's death
Transcript
Apparently, the death of Nike could have been predicted through vibe coding. Look up who profited the most from their downfalls. The people that caught the small details months in advance. Like, these things are more predictable than we rank, which I plagiarized this whole video from this University tier Michigan study. I don't actually know anything about financial back best. Apparently, if you pick 10 to 20 brands that list heavily on Amazon and you map out all of their listings, which you can do with this prompt, by the way, your AI will scrape all of the reviews over the past two years, have a much smaller model, score each of the reviews based on tone, and you could literally have it chart the average tone over time for every product. This is where it gets fucking nuts because then you good pull their quarterly SCC filings and their historical stock price and see if it correlates with the average review tone over time. Straight up according to the University of Michigan study, if you suddenly see a negative tone out of nowhere, it will almost always precede a drop in sales and stock returns. I am not a financial advisor even in the slightest, but that is certainly interesting. But if you're into the AI side of things, dude, you gotta give your boy a follow because I'm gonna keep shitposting workflows like this, dude.