LaunchChair is a spec-driven product workflow and AI MVP planner that turns raw startup ideas into validated market context, a living product spec, and agent-ready build cards for coding agents like Codex, Claude, and Gemini.
What is LaunchChair?
LaunchChair is a phase-based product workflow for founders and AI builders. It takes a raw startup idea as input and produces validated ICP clarity, substitute mapping, market wedge choice, positioning, pricing, an MVP blueprint with feature-scoped build cards, and launch assets including landing copy, SEO/GEO/AEO surfaces, and outbound sequences. The platform runs as a web app and is built by LaunchChair (no company name stated on the page).
Key Features
- Living product spec — The central project state that stores research, choices, positioning, MVP scope, screens, data model, build cards, and launch context. Every agent run reads from and writes back to this spec.
- Phase-based workflow — Gated phases in a Strategy loop (product ideation, market validation, positioning, MVP blueprint) and an Execution loop (stack setup, build board, landing/SEO, launch/sales) with human checkpoints for SQL, authorization, and QA.
- Prompt engine — Compiles the next prompt from current phase, bucket rules, allowed write paths, required JSON shape, downstream dependencies, and project state. Validates structured output and retries or remediates silently.
- Agent API and MCP bridge — External agents (Codex, Claude, Hermes, Grok, Kimi, Gemini, local runners) can claim runs, read specs, queue actions, apply structured output, and pause for human checkpoints through a protected API or stdio MCP bridge.
- Build cards — Feature-scoped implementation units carrying dependencies, acceptance criteria, prompt context, evidence, QA state, SQL actions, and remediation metadata. Generated from the living spec.
- Private starter boilerplate — A customer-owned Next.js/TypeScript/Tailwind/shadcn/ui/Supabase repo with built-in auth, RLS, admin roles, SEO routes, JSON-LD helpers, and optional Stripe/PostHog/Resend integrations. Avoids 6–10 hours of setup and 400k–900k prompt tokens.
- Launch and SEO suite — Generates landing page copy, CTAs, technical SEO, schema markup,
llms.txt, sitemap, robots.txt, launch plans, outbound sequences, leads, and signal tracking from the same spec.
Who is it for?
- Founders building a single MVP — Use LaunchChair to validate the market wedge, generate a scoped MVP blueprint, and run build cards with agents like Claude Code or GPT, avoiding vague prompting and context drift.
- Indie hackers and solo builders — Manage the full product lifecycle from idea to launch without manually rebriefing agents or rewriting project context across tools.
- Agencies creating multiple client MVPs — Use the Agency tier with unlimited projects, 10 seats, white-labeled summary pages, and unlimited agent API access to standardize product validation and build execution.
What can you do with LaunchChair?
- Market validation: Map ICP pain, substitute behaviors, competitor gaps, and market wedge evidence before writing any code.
- Agent-driven MVP build: Queue build cards through the MCP bridge or Agent API — agents receive scoped context, acceptance criteria, and repo-local rules, then apply structured output while the loop validates and retries.
- Launch from spec: Generate a landing page, technical SEO, GEO/AEO answer surfaces, schema, and outbound sales sequences using the same validated product context.
How does LaunchChair work?
LaunchChair moves through eight gated phases: Product Ideation, Market + Validation, Positioning + Pricing, MVP Blueprint, Stack Setup, Build Board, Landing + SEO/GEO/AEO, and Launch + Sales. Each phase generates choices, synthesis pages, and agent runs. The prompt engine compiles the next best prompt from the current project state, and human SQL/QA checkpoints pause the loop with exact card links.
