StackSwap is a GTM optimization system

Problem

• GTM stacks sprawl: duplicate jobs-to-be-done, silent overlap, and spend nobody can defend in a leadership conversation.
• Generic audits and vendor scorecards don't tie recommendations to *your* motion, size, and constraints.
• Insight dies in slides—teams lack a prioritized path finance and RevOps can agree on in the same week.

Solution

• One pass that ingests real stack + context and returns a prioritized narrative: waste, overlap, swaps, and modeled impact.
• Outputs structured for decision-making: executive clarity, internal justification, and a line of sight to execution.
• Designed to compound: richer signals over time strengthen benchmarks and recommendations—not one-off PDFs.

Key capabilities (what you get)

• Credible stack diagnosis grounded in a large tool graph and explicit scoring—not vibes.
• Strategy modes and profile-aware framing so recommendations match how you said you want to optimize.
• Premium unlock path: pay once, get deliverables teams can run with—without forcing account creation.
• In-product advisor context: ask questions against *your* report, not generic chat.
• Embeds and distribution hooks so the same intelligence shows up where prospects already evaluate stack.

Differentiation

• System thinking: signal → interpretation → action → revenue—not a checklist of disconnected features.
• Opinionated outputs: tradeoffs, overlap, and cost concentration called out; not a neutral tool catalog.
• Engineering depth under the hood: persisted reports, pricing experiments, fulfillment, and data hygiene for real operations.

Tech stack

• Next.js · React
• TypeScript
• Supabase (Postgres, RLS, serverless APIs)
• Stripe (report unlock, fulfillment)
• OpenAI (guided advisor, structured report flows)
• Deterministic scoring + benchmark dataset (1,100+ tools, authority spine)

Results & learnings

• Volume at scale: thousands of stack analyses across the surface—proof of repeat use, not a one-shot demo.
• Benchmark spine: 50-tool authority layer plus 1,100+ tools in dataset—enough breadth to feel real, enough depth to defend claims.
• Conversion is earned: gating premium artifacts behind clear value beats feature-sprawl for serious buyers.
• Honest constraint: synthetic and production data are segmented so metrics stay trustworthy as the product grows.

Numbers on the public site may include seeded data where noted; production funnels are measured separately in internal tooling.

Infrastructure & data

Long-form notes for operators and integrators—schemas, seeding, dashboards, shared platform code.