Hi HN, I'm excited to share what I think is the best interface for designing dynamic product data feed catalogs. We've been working for the last 4 years to build this tool.

Problem: Every ecommerce platform outputs a product data feed for automated advertising on platforms like Meta, Klaviyo, TikTok, Google, etc. The images are usually bare product shots on white backgrounds that don't grab attention.

Solution: Waterbucket is middleware between the ecommerce platform and the ad platform. Our platform ingests the feed, provides the tools to creatively transform the feed, and outputs a new feed to the ad platform.

At the heart of the platform is a rules engine. You can design a template and use rules to apply it to different attributes/products from your data feed. For example, say you have a sale 20% off men's shoes. You can design a template for that sale that works like a frame/overlay on the images. Then you can map that template to all the men's shoes in your feed.

Waterbucket differs from something like Canva because the feed is dynamic and updates daily to reflect price or other attribute changes automatically.

One of the best use cases is calling out prices. Sale price, percent off, dollars off, or BNPL prices.

Price is what we all use to decide if we're interested in something. Modern advertising algorithms optimize for attention and price grabs attention.

Please have a go with the demo environment and let me know what you think.