# Quick Start Deploy your first application with Hydron in just a few minutes. This guide walks you through the entire process from sign-up to a live deployment. ## Prerequisites Before you begin, you'll need: - A **Hydron account** — [Sign up for free](https://hydron.space/register) if you don't have one - A **Git repository** with your application code (GitHub, GitLab, Bitbucket, or any public URL) - Alternatively, a **Docker image** already pushed to a registry ## Step 1: Create a project After signing in, you'll land on the **Projects** dashboard. Click **New Project** to create your first project.  Give your project a name and select a type that best matches your application (Web App, Microservice, Static Site, etc.). The project type helps Hydron optimize its analysis and deployment strategy. ## Step 2: Start a chat Once your project is created, you'll be taken to the **chat interface**. This is where you interact with the AI assistant to deploy your application. You'll see a welcome screen with deployment options:  - **GitHub / GitLab / Bitbucket** — Connect your account and select a repository - **Public Git URL** — Paste any public repository URL - **Docker Image** — Provide a Docker image name and tag - **Templates** — Choose from pre-built deployment templates ## Step 3: Connect your code For this quick start, let's deploy from a Git URL. Click on **Public Git URL** and paste your repository URL, then click **Analyze Repository**. The AI will begin scanning your codebase. ## Step 4: Review the code analysis Hydron's AI analyzes your repository to detect: - **Frameworks and languages** (e.g., Node.js with Express, Python with Django) - **Services** within your project (API server, frontend, database, etc.) - **Dependencies** and their versions - **Environment variables** your app needs - **Existing Dockerfiles** or recommendations for new ones The analysis results appear in the chat and in the right sidebar panel. Review the detected services and make any adjustments if needed.  ## Step 5: Generate an infrastructure plan After the analysis, the AI generates an **infrastructure plan** tailored to your application. The plan includes: - **Server specifications** — CPU, RAM, storage, and datacenter location - **Docker configuration** — Dockerfiles for each service - **Networking** — Port mappings, domain configuration - **Environment variables** — Required variables with descriptions - **Health checks** — Endpoints and intervals for monitoring Review the plan in the **Infrastructure** tab on the right sidebar. You can ask the AI to modify any aspect — change server size, add or remove services, adjust environment variables.  ## Step 6: Approve and deploy When you're satisfied with the plan, approve it. The AI will: 1. **Provision the server** — Set up a dedicated server with your chosen specs 2. **Install Docker** and required software 3. **Build your application** using the configured Dockerfile 4. **Deploy containers** with proper networking and health checks 5. **Configure domains and SSL** — Set up your domain with automatic SSL certificates You can watch the entire process in real-time through the **Runs** tab on the right sidebar. Each step shows live logs and progress indicators.  ## Step 7: Your app is live Once deployment completes, your application is live and accessible. You'll receive: - **Your application URL** with SSL configured - **SSH access credentials** for direct server access - **Deployment logs** for debugging if needed ## What's next? Now that your first app is deployed, explore these guides: - [Key Concepts](/docs/concepts) — Understand projects, services, and plans in depth - [Environment Variables](/docs/environment-variables) — Configure secrets and settings - [Domains & SSL](/docs/domains-ssl) — Set up custom domains - [Server Inventory](/docs/server-inventory) — Manage your servers - [Deployment Runs](/docs/deployment-runs) — Monitor and troubleshoot deployments