After nearly two decades as a private company (acquired by Condé Nast in 2006, spun back out, raised venture capital), Reddit went public in March 2024. The swing wasn't driven by some brilliant new product launch. The company has been building machine-learning targeting, better attribution tools, and self-serve campaign management to attract performance advertisers — the kind who measure return on ad spend to the penny — not just brand awareness buyers. Now it's growing fast and carries margins that advertising can't match. That multiple prices in continued advertising growth, expanding data licensing as more AI companies need training data, and the possibility that Reddit's archive becomes even more valuable as synthetic content floods the rest of the internet and authentic human conversation becomes scarcer. Strategic direction: Scaling advertising products, growing search visibility, expanding data licensing, machine-translation for international growth, and converting logged-out visitors to logged-in users. That referral relationship built Reddit's growth story. Reddit is watching its distribution partner learn to replace it in real time. The overlap is narrower than it appears: Reddit wins when an advertiser wants to reach someone mid-research-decision, reading r/buildapc before buying a graphics card or comparing brokerage accounts in r/personalfinance. That's seven consecutive quarters of 60%+ year-over-year growth. You can build the software in six months. What you cannot build is twenty years of accumulated conversation. R/buildapc has an informal hierarchy where experienced builders earn credibility through years of helpful posts. Reddit's growth story comes down to one uncomfortable truth: the platform has 471 million weekly active users but only 126.8 million daily actives. Converting those drive-by visitors into logged-in, returning users is the single highest-leverage growth initiative the company has. The advertising product roadmap is less about invention and more about catching up. Data licensing will grow as more AI companies, enterprise software vendors, and research institutions need high-quality human conversation data. It's high-margin and growing, but it's also dependent on a small number of large buyers whose needs could plateau once their models are trained. Data licensing demand from AI companies will grow as more models need authentic human conversation for training. It also planted a tension that would take fifteen years to resolve: Reddit's users thought they were building a public commons, but the commons now had a corporate landlord.