LaunchChair is an AI MVP planner and living product spec that turns raw startup ideas into validated product direction, structured build prompts, and launch-ready assets.
What is LaunchChair?
LaunchChair is a phase-based product workflow that combines product validation, living spec creation, and agent-driven execution. It takes a raw startup idea and produces research (ICP, substitutes, wedge), a living MVP spec, feature-scoped build cards with acceptance criteria, and launch assets (landing page copy, SEO, outbound sequences). The platform runs as a web app and is built by LaunchChair's independent team.
Key Features
- Living spec — A central project state that automatically updates as research, choices, and build progress accumulate; the prompt engine compiles the next prompt from current phase, bucket rules, allowed write paths, and downstream dependencies.
- Build cards — Feature-scoped implementation units with dependencies, acceptance criteria, prompt context, evidence, QA state, SQL actions, and remediation state; generated from the MVP blueprint.
- Agent API and MCP bridge — Scoped tokens allow external agents (Codex, Claude, Cursor, Grok, Kimi, Gemini, local runners) to resolve projects, read specs, claim runs, complete runs, and export phase summaries through a protected stdio bridge.
- Private starter boilerplate — Customer-owned GitHub repo from a private Next.js/Supabase starter including auth, RLS, admin/blog, SEO routes, AGENTS.md, design.md, and launchchair.json; saves 6–10 hours of setup and 400k–900k prompt tokens.
- Phase-based workflow — Gated phases (Product ideation, Market+validation, Positioning+pricing, MVP blueprint, Stack setup, Build board, Landing+SEO/GEO/AEO, Launch+sales) with human checkpoints for SQL, account authorization, and manual QA.
- Built-in comparison table — Differentiates LaunchChair from vibe coding, Bolt.new, Lovable, Netlify, Replit, and Base44 across product validation, app generation, agent execution, and launch surfaces.
Who is it for?
- Indie founders and solopreneurs — Validate a product idea and generate a structured MVP spec before involving coding agents.
- Vibe coders and AI-assisted builders — Move from vague paragraphs to scoped, acceptance-criteria-driven build cards for agents like Codex, Claude, or Cursor.
- Agencies building multiple MVPs — Use unlimited projects, team seats, and white-labeled summary pages to deliver client-ready specs and launch assets.
What can you do with LaunchChair?
- Validate a product idea — Define ICP, substitutes, competitor gaps, wedge, and validation tests through guided phases.
- Create a living MVP spec — Compile positioning, pricing, MVP scope, screens, flows, data model, and feature choices into a single evolving document.
- Generate structured AI build prompts — Each build card includes scoped context, implementation guidance, acceptance criteria, and QA guardrails, cutting token waste by reducing rereads and retries.
- Produce launch assets — Turn the spec into landing page copy, SEO strategy, GEO/AEO surfaces, schema markup, llms files, outbound sequences, and signal tracking.
Pricing
LaunchChair offers three subscription tiers: Founder ($19/month, 1 project, 1 seat), Builder ($39/month, 5 projects, 3 seats), Agency ($99/month, unlimited projects, 10 seats, white-labeled pages). No hidden token usage charges within LaunchChair.
