Hey Product Hunt! 👋 I'm Supreeth — a data engineer with 12 years of experience across AWS, Sonos, Time Inc and Mindera. I've watched too many early-stage startups either over-engineer their data stack or stitch together the wrong tools and pay for it later. DataFoundry was built to fix that. It walks you through 6 structured questions — your input sources, destination, data volume, constraints, and primary goal — and generates a tailored pipeline architecture with specific tool recommendations, dbt modelling guidance, and orchestration setup. Think of it as getting a senior data engineer's recommendation, instantly and for free. It's not a generic AI chatbot. It's opinionated — built around real patterns I've seen work at scale. Would love to hear from founders who've struggled to figure out their data stack early on. What was the hardest part? Happy to answer any questions! 🚀

DataFoundry — Pipeline Architect

Design your data pipeline: sources, models and orchestration

Design your data pipeline: sources, models and orchestration