Tunisian Self-Taught Developer Builds Self-Learning YouTube AI on AWS Aurora in a Weekend

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A self-taught developer from Tunisia built a full-stack AI application called Virantics in a single weekend as part of the H0: Hack the Zero Stack hackathon. The app is designed to help YouTube creators identify trends by using real performance data rather than generic AI-generated guesses. At its core, Virantics uses AWS Aurora Serverless PostgreSQL with the pgvector extension to store the top-performing YouTube videos as vector embeddings, enabling semantic similarity searches. The frontend was built with Next.js and scaffolded using Vercel's v0 tool, while Google Gemini 2.5 Flash powers the AI engine. The developer, who began coding just eight months ago, designed the system to grow smarter with each user query by continuously accumulating real-world data.

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