meeting-preplisted

# Meeting Prep Research any company before a sales call and generate a structured brief with everything needed to walk in prepared. ## What this does Three phases: 1. **Company Research** - Extract business context, size signals, tech stack, marketing activity, hiring signals 2. **Pain Point Detection** - Identify likely pain points based on what is missing or underperforming 3. **Meeting Brief** - Generate questions, talking points, and service fit analysis ## How to use Pass a URL, company name, or LinkedIn URL: ``` /meeting-prep https://empresa.com ``` Or with context: ``` /meeting-prep https://empresa.com - llamada de 30 minutos, contacto es el CMO ``` ## Phase 1 - Company Research Use ddgs and web scraping to collect: - **Business type** - B2B / B2C, local / national / international - **Size signals** - team size (from website, LinkedIn), years in business - **Services / products** - what exactly do they sell - **Target customers** - who do they serve (inferred from copy + case studies) - **Current marketing** - are they running ads? SEO visible? Social active? - **Tech stack** - CMS, analytics, chat, email tool, CRM signals - **Hiring signals** - job postings can reveal priorities (hiring a "SEO specialist" = SEO is a priority or a pain) - **Recent news** - press, blog, funding, partnerships ```python from scripts.web_inspector import inspect_website, detect_tech_stack data = inspect_website(url) tech = data["tech_stack"] ``` Use ddgs to search: - "[compan