Show HN: Optimal: Cost effective infra with agentic inbox (github.com)

A new AI-powered cloud infrastructure cost optimizer, named Optimal, has been announced on Show HN, designed to help users efficiently manage their cloud computing expenses across major platforms like AWS, GCP, and Azure. This tool automatically detects resource requirements by analyzing GitHub repositories, determining essential metrics such as CPU, RAM, and GPU needs. With its real-time multi-cloud pricing comparison, Optimal provides users with cost-effective recommendations through AI, specifically leveraging Claude for generating intelligent instance alternatives. The significance of Optimal for the AI/ML community lies in its ability to streamline cloud resource allocation, reducing costs for businesses that rely heavily on data processing and machine learning tasks. Key features include two-way email communication for users to refine or approve recommendations, budget alerts to prevent overspending, and advanced PDF analysis to extract pricing and benchmark data from provider documentation. Built with a backend using FastAPI, Supabase, and OpenRouter, along with a modern frontend stack of React and TypeScript, Optimal represents a significant advancement in automated cloud management, addressing a critical need for more budget-conscious AI infrastructure solutions.