How AppLovin engineered a $100B comeback using custom AI models

The brief

AppLovin rebounded from a devastating 92% post-IPO stock drop to achieve a $100 billion valuation. CEO Adam Foroughi and CTO Giovanni Ge credit this turnaround to a radical engineering overhaul and an ultra-lean, highly autonomous team culture.

At the heart of their recovery is Axon 2, a proprietary recommendation engine. By replacing older decision-tree models with GPU-optimized neural networks, the company drastically improved ad prediction efficiency and return on ad spend for advertisers.

Unlike traditional tech giants, AppLovin operates without heavy product management. Engineers are directly connected to business outcomes, designing core data systems on napkin sketches and utilizing interactive mini-game data to power their prediction engine.

While expanding from mobile gaming into e-commerce, the leadership team navigated extreme market volatility by aggressively managing stock-based compensation and focusing on cash flow, avoiding the private equity acquisitions that swallow struggling peers.

To scale toward a trillion-dollar valuation, AppLovin is bypassing out-of-the-box AI solutions to avoid commoditization. They rely instead on custom infrastructure, human engineering taste, and small teams of high-performing, low-ego engineers.