Lessons From A Private Founder's Retreat

What It Covers

Eric Siu reports from a private founders retreat in Palm Beach, sharing reflections from a structured "Then, Now, Later" peer exercise, lessons on market sizing from early investor Tony Conrad, AI's impact on employment, and the economics of scarcity-driven luxury pricing at the Breakers Hotel.

Key Questions Answered

• •"Then, Now, Later" Framework: Run this three-part reflection exercise at peer retreats: document where you were ten years ago, assess your current position honestly, then project ten years forward. The exercise works best in a group setting where participants share photos and personal milestones, creating accountability and perspective that solo journaling rarely produces.
• •TAM Over Niches: Investor Tony Conrad's repeated lesson — pursue large total addressable markets, not niches. Rich Barton, founder of Zillow and Expedia, reinforces this with a baseball analogy: the effort to hit a single equals the effort to swing for a home run. Marketers who chase niches expend the same energy for a fraction of the return.
• •Structuring a Founders Retreat: A three-day peer retreat runs most effectively with a defined daily schedule — solo activity from 7–9AM, problem-solving presentations from 9AM–noon, lunch, one hour of AI knowledge-sharing, afternoon recreation, and dinner by 7PM. Rotating locations annually and maintaining a consistent group since 2018 compounds the relationship value significantly.
• •AI as Corporate Scapegoat: Both the Perplexity and Anthropic founders stated publicly that most current job losses attributed to AI are misattributed. Large organizations like Heineken move too slowly to restructure 9,000 roles around AI this fast. The AI narrative serves as a more favorable investor story than admitting operational underperformance or standard workforce reductions.
• •AI Deflation in SaaS: Tools like Cursor and Claude Code can double or triple engineering productivity, compressing the cost to build SaaS products. When engineer salaries range from $50K to $230K, a 2–3x productivity multiplier materially reduces development costs, enabling freemium pricing models and increasing competitive pressure across the software market.