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docs(pmf): explicitly define the 6 end-state deliverables of the PMF pipeline including OSS requirement extraction

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mawkone
2026-05-07 21:42:40 -07:00
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docs/PRODUCT_MARKET_FIT_ENGINE.md
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> **Vision:** Vibn is not just a code generator; it is a "Business in a Box" platform. The PMF Engine bridges the gap between "Main Street" businesses (SMBs) and "Silicon Valley" SaaS by automating market research, lead generation, and Go-To-Market (GTM) strategy.
## The Objective
When a user wants to build a product (e.g., "Software for Dentists"), the Vibn AI autonomously scopes the market opportunity, designs the product architecture, and generates the initial customer list.
When a user wants to build a product (e.g., "Software for Dentists"), the Vibn AI autonomously executes a complete End-to-End Discovery Pipeline. It guarantees the user receives:
1. **Real Potential Customers:** A qualified list of verified local businesses (with emails/phones) ready to be pitched.
2. **Real Competitors:** Identification of the proprietary SaaS incumbents currently dominating that specific niche.
3. **Software Requirements (SRS):** Database schemas and user flows extracted directly from proven open-source repositories in the same vertical.
4. **An SEO Content Plan:** Keyword gaps and blogging topics based on where competitors are overspending on Google Ads.
5. **Website Positioning:** Value propositions and wedge strategies designed explicitly to exploit competitor weaknesses.
6. **Financials & Pricing:** A calculated MRR model and disruptive pricing strategy based on local TAM and competitor costs.
## 1. Market Sizing & Lead Generation
**Goal:** Prove the market exists and give the founder their first 100 cold-outreach targets.
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* **Tooling:** Uses **DataForSEO Competitive Analysis / Keyword APIs** (via the `market_seo_analyze` MCP tool).
* **Output:** Estimated monthly Google Ads spend, top-performing paid keywords, and low-difficulty organic keyword gaps (e.g., "open source dental booking widget").
## 4. Open Source Baselining
**Goal:** Never start from scratch if a foundation already exists.
* **Mechanism:** The AI searches GitHub for actively maintained, permissively licensed (MIT/Apache 2.0) starter kits.
* **Tooling:** Uses the `github_search` MCP tool.
* **Output:** A list of repositories the AI can immediately clone and modify for the user.
## 4. Open Source Baselining & Architecture Extraction
**Goal:** Never start from scratch if a foundation already exists, and ensure the domain data models are accurate.
* **Mechanism:** The AI searches GitHub for actively maintained starter kits. It then explicitly reads the README and source code to reverse-engineer the "Software Requirements Specification" (SRS).
* **Tooling:** Uses the `github_search` and `github_file` MCP tools.
* **Output:** Extracts the exact database schemas (e.g., *Camp Sessions, Parent Waivers, Cabin Assignments*) and User Flows required to build a competitive product in this niche.
## 5. Automated Plan Generation
**Goal:** Turn all of this research into actionable engineering and marketing tasks.