
Turn your Shopify data into insights—without coding or hiring a data engineer!
Hey Product Hunt! 👋
I'm Guilherme, a Data passionate human being with a particular focus in developing products and solving engineering challenges and I'm here to share my new project with you and hopefully, finding some nice partnerships!
I’m excited to introduce Baitsu, a fully automated data platform designed to give e-commerce businesses a 360º view of their data—starting with Shopify.
Over the years, I’ve seen countless businesses struggle to centralize and analyze their data. Most either:
Have data analysts but no dedicated data engineering resources
Or are just starting to consolidate data from Shopify, Google Ads, Meta
Ads, and other sources
The process is usually expensive, time-consuming, and requires technical expertise. That’s why we built Baitsu—to eliminate these roadblocks and give businesses a plug-and-play data warehouse in BigQuery within hours.
💡 What Baitsu does:
✅ Automatically pulls data from Shopify (Ads data integration coming soon!)
✅ Cleans, transforms, and structures it into a ready-to-use warehouse in BigQuery
✅ Connects seamlessly with BI tools like Looker, Power BI, and Tableau
✅ Allows customizing the entire process to your needs
🔍 Why it’s different?
Unlike tools that only handle ingestion (like Fivetran), Baitsu automates the entire data lifecycle—from raw data to insights. You don’t just get raw data in a database; you get it ready for analysis from day one.
📢 We’re in Beta and looking for testers!
👀 What we’re looking for:
Testers to help validate our data accuracy
Business owners and analysts willing to share insights to shape upcoming integrations (like Google & Meta Ads)
🎁 What you get as a Beta tester:
A free, weekly-updated data warehouse in BigQuery
The ability to generate reports, automate tasks, and connect BI tools like Power BI, Looker, Tableau, etc.
If you run a Shopify store and want to unlock your data without engineering overhead, we’d love your feedback. Try Baitsu for free and help shape the future of e-commerce analytics!
Drop your thoughts below—we’d love to hear from you! 🚀
Replies