The Technical Founder's Go-to-Market Playbook for AI Products
A practitioner's GTM playbook for AI SaaS founders — ICP definition, positioning, pricing model selection, sales motion, and a 90-day sprint framework.24 min read
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A practitioner's GTM playbook for AI SaaS founders — ICP definition, positioning, pricing model selection, sales motion, and a 90-day sprint framework.24 min read
A diagnostic checklist for founders in years 1-3 — 42 checks across product, market, team, revenue, and operations with a scoring framework and recovery playbook.23 min read
A founder's guide to recognizing burnout archetypes, diagnosing your current state, and building a sustainable operating system that keeps you in the game.23 min read
Framework for the 40-question cofounder compatibility audit, 4-stage conflict escalation model, and how to survive a breakup without killing the company.23 min read
A practical playbook for building an advisory board that actually delivers — covering advisor types, equity ranges, cold outreach scripts, onboarding, and removing advisors who ghost.23 min read
The complete bootstrapped growth playbook — capital efficiency metrics, zero-CAC acquisition channels, pricing strategy, and real benchmarks by ARR stage for founders scaling without external capital.23 min read
A founder's guide to AI product pricing strategy — usage-based models, cost structure, unit economics, tiering, and how to stop under-pricing your AI.23 min read
A practitioner's framework for positioning AI products — the 4 traps to avoid, April Dunford applied to AI, messaging hierarchy, and how to test and iterate.23 min read
Traditional SaaS metrics miss most of what makes an AI product healthy. Here's the complete 3-tier metrics stack for AI products, with benchmarks by stage.23 min read
A founder's playbook for running an AI product beta — recruiting the right users, validating output quality, and converting beta users to paying customers.23 min read
Angel investor Udit Goenka breaks down 10 recurring failure patterns in AI startups — from demo PMF to compute cost traps — and how to diagnose and avoid each one.23 min read
Traditional PMF signals mislead AI founders. Here's how to read retention, habit, and workflow fit signals specific to AI products — and a 12-week diagnostic.23 min read
A brutally honest case study of a portfolio company failure — what I missed, what went wrong, and what I changed about my investing process after.23 min read
How AI startups accumulate—and systematically repay—technical debt: model versioning, prompt debt, data pipelines, eval debt, triage frameworks, and the 20% rule.23 min read
How PitchGround scaled from zero to $25M GMV — marketplace mechanics, flywheel, crisis moments, and lessons for any marketplace founder.23 min read