How Etsy Uses LLMs to Improve Search Relevance
• Ever searched for something specific, only to be met with results that are close, but not quite ? • On Etsy’s Search Relevance team, that frustration is exactly what we are tackl
Etsy
Improving performance by prefetching product pages from Etsy Search
• Rarely are there opportunities for big, bold, game-changing improvements in web performance. • The Speculation Rules API (SRA) is a recent browser development that offers just su
Understanding Etsy's Vast Inventory with LLMs
• For more than 20 years, Etsy has been the destination for human creativity online. • Our marketplace is home to more than 100 million special items made, handpicked and designed
Building Etsy Buyer Profiles with LLMs
• Every day, shoppers from Etsy’s community of nearly 90M buyers visit our marketplace to search for unique, handmade, and vintage items. • But with over 100 million listings, how
Behind the Scenes - A Glimpse into Tax Calculations
• Etsy now collects and remits sales tax worldwide, shifting responsibility from sellers to the marketplace. • Tax is calculated instantly when a buyer adds an item, using buyer/se
Enhancing Cloud Usage Forecasting, Monitoring & Optimizing
• Etsy migrated from on-prem to GCP in 2020, guided by a dedicated program management team. • Post-migration, the team became Etsy’s FinOps unit, focusing on maximizing cloud value
Macramé: Untangling the Knot on the Etsy Android Listing Screen
• Etsy’s Android listing screen is the most complex, central buying experience component. • Over 200 experiments in three years caused rapid code growth and instability. • Legacy a
The AR Measuring Box: Etsy's answer to Big Tape Measure
• Etsy’s new iOS AR feature lets users visualize wall art in their rooms using Apple’s ARKit. • Initially beta‑only for wall art, the team plans to extend the tool across Etsy’s di
The So-fine Real-time ML Paradigm
• Etsy’s CodeMosaic hackathon fuels rapid prototyping of bold tech ideas across teams. • Team tackled stateful and online ML to update models in near real‑time. • Current pipelines
Leveraging Real-Time User Actions to Personalize Etsy Ads
• Personalization is key to match Etsy’s unique marketplace with the right buyer at the right time. • Etsy introduced ADPM, a reusable three‑component deep learning module that lea
The Problem with Timeseries Data in Machine Learning Feature Systems
• Etsy’s Feature Systems introduced real‑time features via Rivulet, feeding ML models with timeseries data. • A recommendation engineer flagged that Avro timestamp logic caused pre
How We Built a Multi-Task Canonical Ranker for Recommendations at Etsy
• Etsy serves 100M+ listings, using recommendation modules to guide buyers at every shopping stage. • Each module follows a two‑phase pipeline: fast candidate selection then ML‑bas