David SenraBuilding a $150 Billion Company With Just 400 People | Adam Foroughi of AppLovin
At a glance
WHAT IT’S REALLY ABOUT
AppLovin’s contrarian buybacks, Axon AI, and lean A-team scaling
- AppLovin’s stock fell ~92% in 2022 despite rising EBITDA, prompting a highly targeted ~$6B buyback program that ultimately created ~$50–$60B in value as the market repriced the business.
- After being rejected by top VCs in 2012, AppLovin bootstrapped to product-market fit by turning an “app discovery” recommendation insight into an SDK-based mobile ad network optimized for developers, not brand advertisers.
- A board-less early history enabled fast, founder-led decisions but also led to a near-disastrous China-linked transaction that was later salvaged via a pivot to a non-control convertible note and then refinanced with KKR.
- To compete with data-rich platforms, AppLovin temporarily bought multiple gaming studios to obtain advertiser-like purchase data needed to train machine-learning models, later selling the studios once the core ad platform became dominant.
- The company’s operating system is “hyper-competence with minimal process”: ruthless headcount discipline, CEO-approved hires, heavy pruning of non-A players, and leveraging LLMs so small teams can outperform much larger orgs.
IDEAS WORTH REMEMBERING
5 ideasBuybacks can be transformational when fundamentals and price diverge dramatically.
Foroughi argues the 2022 selloff created an unusually “juicy” valuation (low multiple on cashflow/EBITDA), so AppLovin leaned in—using both operating cash and leverage—to retire shares at distressed prices and compound the upside when sentiment reversed.
Don’t do “generic” buybacks—source liquidity from the sellers you can predict.
Instead of only buying in the open market, AppLovin negotiated repurchases directly with large holders (private equity and departed founders) it expected to sell over time, improving execution certainty and reducing the risk of buying from the “wrong” counterparties.
Being board-less increases speed, but raises the cost of capital-market ignorance.
The lack of a board helped him avoid pressure to sell early, but it also contributed to a major misstep: underestimating geopolitical/regulatory risk (CFIUS scrutiny) in a China-linked control transaction.
Regulatory and geopolitics can dominate deal logic—even if the business feels innocuous.
AppLovin thought it was “solitaire and poker data,” but regulators evaluated it as a large-scale data platform on mobile devices; the control element and state-linked capital made approval unlikely regardless of valuation appeal.
Data is the unlock for performance advertising; acquiring it can justify temporary vertical integration.
To build stronger machine-learning models (and compete with Facebook/Google’s data advantage), AppLovin bought gaming studios to access purchase/monetization data, trained Axon models, and later exited the studios once the platform no longer needed that crutch.
WORDS WORTH SAVING
5 quotesSo you're running a business, and the whole world is telling you your business is trash. Like like what, what do you do?
— Adam Foroughi
But then two, to lever up to buy your own shares when everyone's telling you your, your company is a piece of shit, that's really scary to do.
— Adam Foroughi
I never believed in saving cash for a rainy day.
— Adam Foroughi
We ended up deploying somewhere around $6 billion of buybacks of our own capital, and we leveraged some to buy back shares in the company. And over time, that ended up creating somewhere in the neighborhood of $50, $60 billion of actual proceeds from the buyback, one of the more successful buybacks in the history of companies.
— Adam Foroughi
I'd wake up every morning and go, "I gotta check stats. Are we going bankrupt today, or are we still doing well?"
— Adam Foroughi
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