SaaS Exit Strategy: Acquisition, Lifestyle, or Long Game

SaaS Exit Strategy: Acquisition, Lifestyle, or Long Game

SaaS exit strategy is something most solo founders think about too late. What buyers pay for in 2026 is certainty of future value — not current features. This episode maps the three endgames for bootstrapped founders: lifestyle business, strategic acquisition, and acqui-hire. With 2025 Acquire.com [http://Acquire.com] multiple data by ARR range, lifestyle business net income math at real MRR levels, the five durable moats that survive AI-accelerated competition, and the technical due diligence checklist to start building against now — not 30 days before a sale.

SaaS Legal Basics: GDPR, EU AI Act, and Compliance Awareness

SaaS legal basics are what most developers ignore until something goes wrong. Not legal advice - just two founders talking through the compliance landscape they wish someone had explained before they started charging customers. This episode covers GDPR, the EU AI Act effective August 2026, PCI scope for Stripe-integrated products, business entity tradeoffs, and the four documents most founders encounter before their first paying user. For anything that affects your business, talk to a real lawyer.

Solo Founder Burnout: Systems, Automation, and Deep Work

Solo founder burnout in 2026 hits differently — AI tools removed the technical bottleneck and replaced it with a nervous system bottleneck. You can ship 5x faster, which means 5x more maintenance surface and 5x more decisions. This episode covers the operational automation stack that removes recurring decisions, the async-first operating model that protects deep work, and the 72-hour resilience test every solo SaaS should pass. With real burnout data, decision fatigue research, and automation platform comparisons.

SaaS Metrics That Matter: Activation, Churn, Agentic Margins

SaaS metrics that matter are five numbers - not pageviews, not signups. This episode is the instrumentation guide: the exact Supabase schema for tracking AI costs per user, the Stripe Sigma queries, the PostHog event setup, and the alert thresholds that tell you something is wrong before it becomes a crisis. Covers activation rate, time-to-value, NRR, MRR churn, and agentic margins - with real benchmarks so you know what good actually looks like.

AI Customer Support at Scale: Tiered Architecture for Solo Founders

AI customer support isn't a tool decision — it's an architectural decision. This episode starts with the support volume paradox (support doesn't scale linearly past 1,000 users, it explodes logarithmically due to combinatorial environment variance), then dismantles the Human Touch Theater Trap: founders spending 25–55% of their week manually answering tickets at an industry average cost of $19 per ticket, while a poor support interaction makes users 50% more likely to churn within 6 months. The full four-tier architecture with exact cost-per-resolution math: Tier 0 self-service docs at under $0.01, Tier 1 agentic AI at $0.50–$1.50 resolving 40–92% of tickets, Tier 2 contractor layer at $15–$25, Tier 3 founder escalation at $150+. Then the head-to-head cost math: Intercom Fin at $534/month for 500 tickets vs custom Supabase + Claude Haiku build at $26.50/month — scaling to $4,989 vs $40 at 5,000 tickets, with break-even on your 20 engineering hours at 8 months. Deep RAG engineering: LlamaParse vision-based ingestion for complex PDFs, fixed-size vs semantic vs late chunking (semantic improves retrieval recall by 9%), AWS flat-level syntax rules for machine-readable docs, and cosine similarity threshold tuning. Thomas Wiggled's Agent Tiny triage system: Claude Haiku classification at $0.01–$0.05 per ticket with forced JSON output (priority, category, reasoning). The contextual handoff protocol that eliminates "explain your problem again." And the Sunday midnight cron workflow that turns 500 resolved tickets into a friction-scored, auto-prioritized Linear roadmap for under 10 cents in API tokens.