20VC: How We Got Fred Wilson, Benchmark and Index to Invest $94M | Why Robinhood's Strategy is Wrong | Why 1-1s are BS and What Every Founder Gets Wrong About Equity | Why Taste Beats AI But How AI Kills Org Charts with Paul Erlanger, CEO @ fomo

Summary

Paul Erlanger describes FOMO as a mobile trading app that starts with on-chain assets and is expanding toward equities and perpetuals, with social features built around a user’s graph rather than a generic financial super-app. He says the company solved cold start by turning users and angels into owners, raising an all-angel seed and later scaling to a $75 million Series B at a $550 million post-money valuation. Erlanger is skeptical of Robinhood-style bundling, arguing that horizontal product expansion helped U.S. saturation but limited global reach, whereas on-chain products can be global from day one. He also makes a strong case that AI is accelerating engineering throughput and shrinking the need for large org charts, while increasing the premium on top-tier engineers and design talent.

Notes

• FOMO is a mobile trading app centered today on on-chain assets like Bitcoin and Ethereum, with planned global access to equities and perpetuals.
• The product thesis is not a financial super-app; the glue is the social graph across asset classes.
• FOMO’s early distribution strategy treated the round as a user-acquisition channel, not just capital.
• The company’s earliest team operated without pay for eight months.
• He says FOMO intentionally gives nonfounders founder-like equity to create real ownership.
• He argues the social graph, not the product catalog, is what binds the platform.
• Perps are defined as synthetic price bets, not transfers of the underlying asset.
• He uses Hyperliquid and Cerebras as an example of price convergence between a derivative market and the IPO reference price.
• He is skeptical of Robinhood’s broad bundling strategy, but says it made sense for saturating the U.S. market.
• He says FOMO’s team structure is intentionally flat, with no one-on-ones and no hierarchy.
• Current team size is 17, with a stated target to stay below 25.
• AI has already sped up product delivery enough to change what small teams can ship.
• He says FOMO built a new product in three weeks and the web app in one month.
• The engineering stack relies on enterprise AI accounts, mainly Claude Code and Codex, with an internal policy to avoid sensitive uploads.
• He says Claude Code credits have gotten expensive and model quality has shown some friction.
• He frames AI economics as token spend as a share of developer salaries.
• AI makes the best engineers more valuable, not less, by shifting lower-level work to tools.
• He argues product teams will shrink because AI raises leverage per engineer and per designer.
• Growth is driven by native creators rather than importing celebrity audiences from other platforms.
• BeReal is his cautionary example for missing a durable feedback loop.
• FOMO runs creator management in-house and keeps 30 to 40 creators under active management.
• Creator selection is run as a metrics game: impressions, conversions, CAC, and LTV.
• He prefers iterating on a working content format until conversion improves, then replicating it.
• He thinks CAC can rise if the user’s LTV still clears it, allowing broader reach.
• For brand marketing, he favors durable “immortal assets” like podcasts over transient ads.
• He uses a Robinhood Android/iOS loading-screen anecdote to show why product analytics becomes decisive at scale.
• FOMO’s Series B was $75 million at a $550 million post-money valuation.
• Index led with $55 million and USV added $15 million.
• He says the round price was $550 million post-money.
• Founder secondaries were framed as modest and primarily useful for long-term optionality.
• The company wants to verticalize its infrastructure and own more of the stack in-house.
• Core user-facing systems are expected to be built internally, including the web trading experience.
• He argues Europe’s fragmented markets let Revolut scale globally faster than Robinhood.
• Trading is the primary product today, while social is being added to improve trader discovery and engagement.
• He says social has to be intentional and momentum-based or the app can unravel.
• He advises CS students to use less AI for writing so they retain core skill development.
• FOMO rejects a rigid 996 model and instead relies on ownership, autonomy, and intensity when needed.
• FOMO’s long-term mission in crypto is to be a “beacon of light” against short-termism and weak consumer protection.
• He explains why perpetuals can support private-company exposure without moving the underlying asset.
• He says the best growth channels are native to the platform and reward early creator identity.
• He wants creator content optimized by repeated iteration on the same format, not constant novelty.
• Brand marketing should prioritize durable assets that keep compounding over time.
• He notes that product analytics can reveal hidden funnel issues that intuition misses.