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๐Ÿš€ AI Product Launch Intelligence Agent

awesome-llm-appsproduct_launch_intelligence_agent

๐Ÿ‘‰ Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

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๐Ÿš€ AI Product Launch Intelligence Agent

๐ŸŽ“ FREE Step-by-Step Tutorial

๐Ÿ‘‰ Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

A streamlined intelligence hub for Go-To-Market (GTM) & Product-Marketing teams.
Built with Streamlit + Agno (GPT-4o) + Firecrawl, the app turns scattered public-web data into concise, actionable launch insights.

3 Specialized Agents in Coordinated Team

TabWhat You Get
Competitor Analysis AgentEvidence-backed breakdown of a rival's latest launches โ€“ positioning, differentiators, pricing cues & channel mix
Market Sentiment AgentConsolidated social chatter & review themes split by ๐Ÿš€ positive / โš ๏ธ negative drivers
Launch Metrics AgentPublicly available KPIs โ€“ adoption numbers, press coverage, qualitative "buzz" signals

Additional goodies:

  • ๐Ÿ”‘ Sidebar key input โ€“ enter OpenAI & Firecrawl keys securely (type="password")
  • ๐Ÿง  Coordinated multi-agent team โ€“ three expert agents work together for richer insight
    • ๐Ÿ” Product Launch Analyst (GTM strategist)
    • ๐Ÿ’ฌ Market Sentiment Specialist (consumer-perception guru)
    • ๐Ÿ“ˆ Launch Metrics Specialist (performance analyst)
  • โšก Quick actions โ€“ press J/K/L to trigger the three analyses without touching the UI
  • ๐Ÿ“‘ Auto-formatted Markdown reports โ€“ bullet summary first, then expanded deep-dive
  • ๐Ÿ› ๏ธ Sources section โ€“ every report ends with the URLs that were crawled or searched

๐Ÿ› ๏ธ Tech Stack

LayerDetails
DataFirecrawl async search + crawl API
AgentsAgno Team (GPT-4o) with FirecrawlTools
UIStreamlit wide-layout, tabbed workflow
LLMOpenAI GPT-4o

๐Ÿš€ Quick Start

  1. Clone the repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent
  1. Install dependencies
pip install -r requirements.txt
  1. Provide API keys (choose either option)

    โ€ข Environment variables โ€“ create a .env file:

    OPENAI_API_KEY=sk-************************
    FIRECRAWL_API_KEY=fc-************************
    

    โ€ข In-app sidebar โ€“ paste the keys into the secure text inputs

  2. Run the app

streamlit run product_launch_intelligence_agent.py
  1. Browse to http://localhost:8501 โ€“ you should see three analysis tabs.

๐Ÿ•น๏ธ Using the Application

  1. Enter API keys in the sidebar (or ensure they are in your environment).
  2. Type a company / product / hashtag in the main input box.
  3. Pick a tab and hit the corresponding Analyze button โ€“ a spinner will appear while the coordinated team works.
  4. Review the two-part analysis:
    • Bullet list of key findings
    • Expanded, richly-formatted report (tables, call-outs, recommendations)

๐Ÿค– How the Coordinated Team Works

The application uses a coordinated team approach where three specialized agents work together:

  • Product Launch Analyst: Evaluates competitive positioning, launch strategies, strengths, and weaknesses
  • Market Sentiment Specialist: Analyzes social media sentiment, customer feedback, and brand perception
  • Launch Metrics Specialist: Tracks KPIs, adoption rates, press coverage, and performance indicators

The team coordinates based on the analysis type requested, ensuring the most appropriate agent handles each task while maintaining consistency and comprehensive coverage across all analysis types.

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awesome-llm-apps
Repository
Shubhamsaboo/awesome-llm-apps ยท main
File path
advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/README.md
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10/24/2026, 3:00:14 AM (5h ago)
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