Misprint

Misprint: Building the Future of Collectibles Trading 🚀

Misprint is the first-ever transparent, real-time marketplace designed specifically for trading card enthusiasts. Imagine Robinhood meets Pokémon cards—instant, clear, and powered by advanced machine learning.

We’re solving the biggest pain in collectibles today: inefficient, opaque pricing and slow transactions. At Misprint, our tech enables collectors and investors to discover the true, real-time value of their cards, effortlessly list dozens of items with just a single photo, and trade confidently in a dynamic bid/ask marketplace.

Why Join Misprint?

• Market-Changing Impact: We're redefining a massive, fragmented collectibles market by bringing stock-market efficiency to Pokémon cards, sports cards, and beyond.
• Cutting-Edge Tech: Our pricing engine analyzes millions of data points, delivering unmatched accuracy and transparency. Say goodbye to outdated spreadsheets and biased data.
• Speed & Simplicity: Listing cards on Misprint is over 20x faster than competitors, transforming how collectors manage their inventory.

The Team Behind Misprint

• Eva Herget (CEO): A former Goldman Sachs analyst turned Pokémon finance YouTuber who scaled a card-selling side hustle into a $500K ARR business in just 3 months—she's all-in on shiny cardboard.
• Jon (CTO): Mathematician and ML expert who dropped out of his PhD to revolutionize asset pricing through sophisticated algorithms and machine learning.

We’re backed by Y Combinator, passionate about collectibles, and committed to transparency and speed.

Who We're Looking For

If you’re excited about collectibles, fintech, ML-driven products, or marketplace innovation—Misprint is the place to build your career. Join us in transforming how collectors around the globe value and trade their treasures.

Misprint Tech Stack & Challenges 🛠️

At Misprint, we're leveraging a modern, robust tech stack (Next.js, Supabase, AWS, Python) to tackle complex challenges in the collectibles marketplace.

Technical Challenges We're Solving:

• Real-Time Data Processing: Building and optimizing systems that handle massive data volumes for instant pricing insights and trade execution.
• Machine Learning at Scale: Creating ML models sophisticated enough to accurately price hundreds of thousands of unique collectibles, continuously updating based on live market data.
• Seamless UX/UI: Designing workflows that allow collectors to effortlessly list and manage large inventories, improving marketplace efficiency by over 20x compared to competitors.