AI Hypergrowth GTM

Use this skill to turn AI sales-led hypergrowth patterns into concrete GTM decisions. Keep the answer operational: diagnose the current motion, identify the highest-leverage pattern, and propose the next sales/pilot/proof step.

Primary source: Seva Ustinov's public AI Sales-Led Hypergrowth - Benchmark Research at https://sevaustinov.me/hypergrowth-research/. This public skill contains short notes and source links, not a full copy of the research corpus.

Core Workflow

1. Identify the current stage: pre-product discovery, first design partners, founder-led sales, pilot conversion, first sales hire, or expansion.
2. Name the active wedge: buyer, painful workflow, measurable output, current human/labor cost, and why this can reach meaningful ARR before broadening.
3. Apply the growth laws and sales laws below. Do not give generic SaaS advice if one of these laws gives a sharper move.
4. Load detailed references only as needed:
   • Source map: references/source-index.md
   • Growth and sales principles: references/principles.md
   • Company case notes: references/company-cases.md
5. Output a concrete recommendation: target buyer, offer, pilot terms, proof metric, demo input, pricing anchor, and next 5-10 founder actions.

Growth Laws