make-me-unicorn

# Make Me Unicorn (MMU)

> An open-source launch checklist and operating system for solo SaaS builders. A Python CLI (`pip install make-me-unicorn`), Claude Code plugin, and MCP server that catches what AI-generated SaaS code misses before launch.

## What it is

Make Me Unicorn (MMU) is a developer tool for solo founders shipping AI-generated SaaS products. It checks a codebase against a 670-item launch checklist across 15 categories — frontend, auth, billing, security, SEO, legal, observability, deployment, monitoring, growth, and more — organized into 6 named launch gates (Problem Fit, Build Fit, Revenue Fit, Trust Fit, Growth Fit, Scale Fit). MMU outputs an evolving "unicorn" status dashboard (Egg → Hatching → Foal → Young → Unicorn → Legendary) as gates pass.

## Who it is for

- Solo SaaS founders shipping AI-generated code who need a systematic pre-launch quality check
- Indie hackers running Claude Code, Cursor, or other AI coding agents end-to-end without a team
- Engineers using the Model Context Protocol (MCP) who want a quality-assurance MCP server in their agent toolchain
- Builders who want a Claude Code plugin that does idea validation against real HN and Reddit threads

## Core commands

- `mmu init` — initialize MMU in the current project
- `mmu scan` — analyze the codebase against the 670-item checklist
- `mmu` (no args) — show the status dashboard with launch-gate progress
- `mmu next` — show the next highest-priority item to fix
- `mmu vibecheck` — scan for the gaps AI-generated code ships most (hardcoded secrets, unverified webhooks, missing password reset, f-string SQL, missing rate limits, wildcard CORS, debug mode, no error monitoring)
- `mmu validate <idea>` — validate a startup idea against real HN + Reddit threads (free by default, no API keys; `--llm` opt-in adds Claude synthesis at ~$0.05-0.20 per call)

## Distribution

- PyPI: https://pypi.org/project/make-me-unicorn/
- GitHub: https://github.com/minjikim89/make-me-unicorn
- Homepage: https://minjikim89.github.io/make-me-unicorn/
- License: MIT

## Integrations

- **Claude Code plugin**: use MMU as a skill inside a Claude Code session
- **MCP server**: run MMU as a Model Context Protocol server for any MCP-compatible agent
- **CLI**: standalone Python CLI, runs offline for the checklist; online only when calling LLM features

## Documentation

- README (English): https://github.com/minjikim89/make-me-unicorn/blob/main/README.md
- README (Korean): https://github.com/minjikim89/make-me-unicorn/blob/main/README.ko.md
- README (Japanese): https://github.com/minjikim89/make-me-unicorn/blob/main/README.ja.md
- FAQ: https://github.com/minjikim89/make-me-unicorn/blob/main/docs/faq.md
- Glossary: https://github.com/minjikim89/make-me-unicorn/blob/main/docs/glossary.md
- Use cases: https://github.com/minjikim89/make-me-unicorn/blob/main/docs/use-cases.md
- Roadmap: https://github.com/minjikim89/make-me-unicorn/blob/main/ROADMAP.md
- Spec: https://github.com/minjikim89/make-me-unicorn/blob/main/SPEC.md
- Changelog: https://github.com/minjikim89/make-me-unicorn/blob/main/CHANGELOG.md

## Citation

If you reference MMU, please cite the repository — see `CITATION.cff` at the repo root for the canonical citation format.