
Rubber Ducky Labs provides an AI-powered product discovery tool for e-commerce teams. Their platform allows non-technical users to leverage multi-modal AI for product catalog metadata tagging by simply uploading a CSV file. The tool aims to improve product discovery through enhanced metadata, benefiting areas like search, recommendations, marketing, and SEO. Key team members include Alexandra Johnson (CEO), who has experience in fashion tech and ML tools, holding two patents, and John McDonnell (CTO), with a background in recommender systems from Stitch Fix and Square, holding one patent.

Rubber Ducky Labs provides an AI-powered product discovery tool for e-commerce teams. Their platform allows non-technical users to leverage multi-modal AI for product catalog metadata tagging by simply uploading a CSV file. The tool aims to improve product discovery through enhanced metadata, benefiting areas like search, recommendations, marketing, and SEO. Key team members include Alexandra Johnson (CEO), who has experience in fashion tech and ML tools, holding two patents, and John McDonnell (CTO), with a background in recommender systems from Stitch Fix and Square, holding one patent.
What they do: AI-powered web app that generates rich product metadata from CSVs to improve e-commerce discovery, search, recommendations, marketing, and SEO
Stage / funding: Raised a $1.5M seed round (announced Jun 22, 2023)
Leadership: Alexandra Johnson (CEO, co‑founder) and John McDonnell (CTO)
Team size: Around 4 employees (reported)
E-commerce product discovery and catalog metadata generation
E-commerce / AI
1.5M
Reported participation from Cadenza Ventures, Y Combinator, and angel investors including Brad Klingenberg, Patrick J. Haynes, and David Aronchick
“Seed led by Bain Capital Ventures with participation from Cadenza Ventures, Y Combinator, and named angels”