How Lin He’s journey from tech analytics to solving a $30 billion problem could reshape the backbone of the U.S. economy
In a world where AI headlines focus on chatbots and autonomous vehicles, Lin He has identified a different revolution—one happening in the spreadsheets and paper calendars of America’s 30 million small businesses.
The veteran data scientist possesses what colleagues describe as an almost supernatural ability to spot patterns others miss, a talent that has saved major corporations millions while optimizing gaming algorithms and media marketing strategies.
Extraordinary Abilities in Action
He’s track record reads like a masterclass in turning complex data into business value. At gaming companies, her algorithms generated 140% revenue increases through precise targeting while reducing server costs by 90%—dual optimization that separates exceptional data scientists from competent ones.
Her most remarkable achievement came at a media company, where she uncovered $96 million in unattributed revenue by identifying discrepancies across hundreds of data columns that entire teams had overlooked.
“Lin has this rare ability to see patterns in chaos,” notes a former colleague from Warner Bros. Discovery, where she built predictive models for $30 million marketing budgets with 90% accuracy. “Where others see complexity, she sees solvable components.”
From Gaming Giants to National Challenges
He’s expertise combines distinguished academic training—Data Science from Columbia University and AI specialization from Georgia Institute of Technology—with real-world application in high-pressure environments where milliseconds translate to millions. At Zynga, she developed machine learning systems that adapted monetization strategies in real-time, predicting user behavior with unprecedented precision.
Her innovation lies in recognizing that AI techniques powering trillion-dollar tech companies could serve different markets. While peers focused on enterprise platforms, she identified massive economic inefficiency hiding in plain sight.
The Vision That Changes Everything
SmartScale AI represents He’s systematic approach to addressing what McKinsey estimates as a $2.6 trillion economic opportunity. Small businesses generate $6 trillion annually and employ 60 million Americans, yet most operate with pre-smartphone technology.
Her platform employs dynamic resource allocation—AI that automatically scales computing power based on demand—reducing infrastructure costs by 70%. Pre-configured modules eliminate custom development, while intuitive interfaces ensure business owners need no technical training.
“We’re using more sophisticated technology to make user experience simpler,” He explains. “AI handles complex backend operations so business owners focus on what data tells them.”
Proven Impact, Scalable Solutions
Early pilots validate He’s approach with measurable results. A bakery reduced food waste by 25% while increasing sales 15%. A medical practice optimized scheduling to reduce patient wait times by 30%.
He pursues this mission through bootstrap funding rather than venture capital, reflecting her belief that sustainable solutions don’t require Silicon Valley-scale investment. Subscriptions start at $500-1,000 monthly—affordable for businesses with hundreds of thousands in annual revenue.
National Impact Through Individual Excellence
He’s work represents infrastructure for economic resilience. Her background spans continents and industries, from optimizing NYC transit routes to detecting international fraud. This positions her uniquely to tackle America’s small business technology gap.
The ultimate measure won’t be revenue, but whether her platform can alter competitive dynamics favoring large corporations—reshaping America’s economic landscape through extraordinary application of AI to overlooked problems.
