Tech Titans: Designing for Intuition Over Instructions with Campbell Brown, CEO and Co-founder of PredictHQ
Summary
Campbell Brown, CEO of Predict HQ, discusses how his API-first platform provides real-world context to AI models, helping companies like Uber and Expedia predict demand spikes from local events. He explains how accurate event data improves forecasting, staffing, and pricing across retail and travel industries. Brown also details their new AI-driven integration tools and shares leadership advice on managing founder stress through resilience and perspective.
Topics discussed
Introduction to Predict HQ and real-world context for AI
How Predict HQ won Uber as their first customer
Origins of the company and tracking demand variability
Data pipelines, accuracy challenges, and business impact
Case study: Solving staffing issues for a major retailer
Expedia integration and API-first use cases
Bolt sandbox and MCP server for conversational integration
Leadership advice: Making your bed and managing stress
Next steps for Campbell and resources for listeners
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