Add authenticated email-scraping repo lookup endpoint

README.md

@@ -1,66 +1,88 @@
-# Outbound AI
-
-Outbound AI is a comprehensive platform designed to manage and monitor AI missions, agents, and reviews. It features a modern dashboard for real-time tracking and control.
-
-## Tech Stack
-
-### Frontend
-- **Framework**: React (Vite)
-- **Language**: TypeScript
-- **Styling**: TailwindCSS, shadcn-ui
-- **State/Data**: TanStack Query
-- **Authentication**: Clerk
-- **Visualization**: Recharts
-
-### Backend
-- **Framework**: FastAPI
-- **Database**: MongoDB (Beanie OD)
-- **AI/LLM**: LangChain, LangGraph
-- **Search**: Firecrawl
-- **Utilities**: Pydantic
-
-## Key Features
-
-- **Launchpad**: Initiate and configure new missions.
-- **Mission Chat**: Real-time interaction and monitoring of active missions.
-- **Review Queue**: Interface for human-in-the-loop review of AI actions.
-- **Active Agents**: Dashboard to view and manage currently running agents.
-- **Detailed Analytics**: Visualizations of mission performance and metrics.
-
-## Setup Instructions
-
-### Frontend
-1. Navigate to the frontend directory:
-   ```bash
-   cd frontend
-   ```
-2. Install dependencies:
-   ```bash
-   npm install
-   ```
-3. Start the development server:
-   ```bash
-   npm run dev
-   ```
-
-### Backend
-1. Navigate to the backend directory:
-   ```bash
-   cd backend
-   ```
-2. Create and activate a virtual environment (optional but recommended):
-   ```bash
-   python -m venv venv
-   # Windows
-   .\venv\Scripts\activate
-   # macOS/Linux
-   source venv/bin/activate
-   ```
-3. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-4. Start the server:
-   ```bash
-   uvicorn main:app --reload
-   ```
+# 🚀 Outbound AI
+### The Operating System for Autonomous Sales Teams
+
+![Hero Image](https://placehold.co/1200x400/1e293b/ffffff?text=Outbound+AI+Mission+Control)
+
+> **Stop prospecting manually. Let AI build your pipeline.**
+> Outbound AI is the first autonomous SDR platform that plans, researches, and executes complex outbound campaigns with human-like precision at 100x scale.
+
+---
+
+## ⚡ Why Outbound AI?
+
+Sales teams are drowning in manual tasks—finding emails, researching leads, and writing personalized notes. **Outbound AI** replaces the grunt work with intelligent agents that act as your virtual salesforce.
+
+- **10x Faster Prospecting**: Agents scan millions of profiles in minutes, not months.
+- **Hyper-Personalization**: Every email is crafted using real-time insights from news, LinkedIn, and company reports.
+- **Human-in-the-Loop**: You maintain control. AI drafts the outreach; you approve it in the Review Queue.
+
+---
+
+## 💎 Core Features
+
+### 🧠 Spatial Mission Control
+Forget complex filters. Just talk to your AI.
+> _"Find me Series A founders in NYC who recently hired a VP of Sales."_
+Your AI understands natural language and launches a tailored mission immediately.
+
+### 🕵️‍♂️ Autonomous Agents
+Watch as your army of agents goes to work. They:
+- Scrape web data via **Firecrawl**.
+- Verify contact details via **Search**.
+- Reason and plan via **LangGraph**.
+
+### ✅ Smart Review Queue
+Quality assurance is built-in. Review high-stakes communications before they send, or let the AI run on autopilot for lower-risk tiers.
+
+### 🌐 The "Live Brain"
+Real-time knowledge graph that learns from every interaction, keeping your prospect data fresh and your context relevant.
+
+---
+
+## 🛠️ Technology Stack
+
+Built for speed, scalability, and developer joy.
+
+| Component | Tech |
+|-----------|------|
+| **Frontend** | React, Vite, TailwindCSS, shadcn-ui, TanStack Query |
+| **Backend** | FastAPI, Python 3.12+, AsyncIO |
+| **Database** | MongoDB (Beanie ODM) |
+| **AI Engine** | LangChain, LangGraph, Groq/OpenAI |
+| **Search** | Firecrawl |
+
+---
+
+## 🚀 Getting Started
+
+Launch your first mission involved setting up the "Brain" and the Interface.
+
+### Prerequisites
+- Python 3.12+
+- Node.js 18+
+- MongoDB Instance
+
+### Quick Start
+We found a magic script for you.
+
+```bash
+# Clone the repo
+git clone https://github.com/BEASTSHRIRAM/OutboundAI.git
+
+# Enter directory
+cd outbound-ai
+
+# Make the start script executable
+chmod +x start_dev.sh
+
+# Ignite 🚀
+./start_dev.sh
+```
+
+The **Backend** will come alive at `http://localhost:8000` (API Docs).
+The **Frontend** will be ready at `http://localhost:5173`.
+
+---
+
+## 🛡️ License
+Private & Confidential.

backend/Dockerfile

@@ -0,0 +1,19 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y gcc curl && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for cache
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Expose port
+EXPOSE 8000
+
+# Run entrypoint
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]