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Startup Growth Playbook

mcp-fayerman-source-startup-growth-playbook · by fayerman-source

Clone into any startup repo. An LLM agent auto-generates and executes a marketing plan from your codebase. 7 distribution-first strategies.

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Install

$ agentstack add mcp-fayerman-source-startup-growth-playbook

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Startup Growth Playbook

Distribution-first marketing strategies for AI-era startups. Clone into any project directory and let an LLM agent auto-generate and execute a marketing plan from the codebase.

Quick Start

cd your-startup-project/
git clone https://github.com/fayerman-source/startup-growth-playbook.git marketing/

Then tell your LLM agent:

> Read marketing/AGENT.md and follow the protocol.

The agent will:

  1. Discover — scan your codebase to understand the product, niche, and audience
  2. Select — pick the best 2-3 strategies from the playbook
  3. Plan — generate a tailored plan.md with real tasks and metrics
  4. Execute — produce marketing artifacts (content, SEO pages, outreach, etc.)
  5. Handoff — when the next step requires app-code changes or live rollout, generate an implementation-ready handoff instead of endlessly expanding docs

No manual setup. No forms to fill in. The protocol bootstraps from your code.

What's Inside

| File | Purpose | |---|---| | AGENT.md | Self-bootstrapping protocol — the agent reads this first | | playbook.md | 8 distribution strategies with implementation steps and agent tasks | | startup-template.md | Plan structure (used by the agent, not by you) |

The 8 Strategies

  1. MCP Servers — let AI assistants sell for you
  2. Programmatic SEO — generate thousands of keyword-targeted pages
  3. Free Tool — build a grader/calculator as top-of-funnel
  4. Answer Engine Optimization — be the source ChatGPT and Perplexity cite
  5. Viral Artifacts — make product outputs shareable
  6. Newsletter Acquisition — buy an audience for $5-20K instead of building from zero
  7. Content Repurposing — one pillar piece becomes 50+ across channels
  8. Parallel Instagram Reels Content Engine — high-volume meme-remix short-form video across parallel Instagram accounts for consumer mobile apps (5-6 month grind; credit: Caleb Dean / Runify, via Superwall Podcast; primary-source analysis in [research/runify-content-engine-analysis.md](research/runify-content-engine-analysis.md))

Output Structure

The agent commits marketing artifacts to subdirectories:

marketing/
  plan.md         — tailored marketing plan (auto-generated)
  content/        — tweets, LinkedIn posts, newsletters, blog posts
  seo/            — keyword research, page templates, generated pages
  tools/          — free tool specs or source code
  outreach/       — newsletter targets, DM templates
  aeo/            — FAQ content, schema markup
  artifacts/      — viral artifact designs, share copy

Important Boundary

By default, this playbook is designed to generate and organize marketing work inside marketing/.

If the next valuable step requires:

  • publishing pages in the real app
  • wiring homepage or product UX changes
  • implementing share flows
  • adding analytics
  • submitting sitemaps or checking live behavior

the agent should switch from content generation to an implementation handoff unless the user explicitly asks it to modify the product code.

Source

Strategies 1-7 are derived from Greg Isenberg's Startup Ideas Podcast. Strategy 8 is informed by Caleb Dean's public account of Runify, including the Superwall Podcast with Joseph Choy.

License

MIT

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.