Pets.com

Mentioned in 6 analyzed podcast episodes across 4 shows

Mentioned On

The Journal.Tetragrammaton with Rick Rubin Better Offline Oxide and Friends

Episode Mentions

The Journal. · Jun 15, 2026

The Great IPO Frenzy of 2026

“Referenced as dot-com era IPO failure example contrasting with Amazon's success during same period”

IPO Market Dynamics 2026AI Company ValuationsSpaceX IPO Performance

View Analysis

Tetragrammaton with Rick Rubin · Feb 11, 2026

BIll Gurley

“Dot-com bubble company that failed but whose business model was later validated by multibillion-dollar successors in pet e-commerce”

Venture Capital Investment Strategy and Pattern RecognitionRegulatory Capture and Its Impact on InnovationEarly-Stage vs. Late-Stage Investment Decision-Making

View Analysis

Better Offline · Jan 29, 2026

AI Is Worse Than The Dot Com Bubble: Part Three

“Dot-com bubble casualty, unprofitable business model that failed to achieve profitability”

AI Bubble Valuation RiskNvidia Market ConcentrationDot-Com Bubble Comparison

View Analysis

Better Offline · Jan 28, 2026

AI Is Worse Than The Dot Com Bubble: Part Two

“Dot-com bubble company example; failed e-commerce startup; smaller scale destruction than current AI infrastructure overbuilding”

AI Bubble Economics and Valuation RiskNvidia Dependency and Market ConcentrationGPU Infrastructure Depreciation and Obsolescence

View Analysis

Better Offline · Jan 27, 2026

AI Is Worse Than The Dot Com Bubble: Part One

“Dot-com bubble example; collapsed to zero despite peak market cap of $400M; lost investors nearly everything”

AI bubble economics and unsustainable GPU infrastructure spendingDepreciation accounting and its impact on reported profitabilityTech industry layoffs and shareholder supremacy

View Analysis

Oxide and Friends · Jan 8, 2026

Predictions 2026!!

“Dot-com era example of unsustainable business model; Harvey compared as modern equivalent in AI space”

LLM-Assisted Code Generation and Coding AgentsAI Safety and Prompt Injection SecurityNormalization of Deviance in AI Development

View Analysis