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Sourcery: How AppLovin Rebuilt Its Ad Engine to Reach $100B

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About this episode

AppLovin’s comeback from a 92% post-IPO collapse to a $100 billion valuation comes down to one radical rebuild. In this Sourcery episode, host Molly O'Shea talks with founder Adam Foroughi and engineering leader Giovanni Ge about Axon 2, the new ad engine that swapped rigid tree-based rules for semantic embeddings and deep neural networks. The 39-minute original is distilled into a quick listen that shows how AppLovin improved prediction accuracy, boosted advertiser returns, and expanded from gaming into e-commerce. You’ll also hear how the company’s lean engineering culture, real-time feedback loops, and disciplined approach to AI helped turn a near-failure into a durable growth story. If you’re interested in ad tech, machine learning, startup execution, and leadership, this summary delivers the key ideas fast. Listen now to get the key ideas in minutes.

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Sourcery: How AppLovin Rebuilt Its Ad Engine to Reach $100B

AI Podcast Summaries from Transcripted.ai (VIDEO)

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