Misprint's Machine Learning Reads the Market for Graded Pokémon Cards

The YC-backed startup is building a real-time bid/ask marketplace for a collectibles niche that trades like a stock.

About Misprint

Published

You pull a slabbed Charizard from its sleeve, its PSA 10 grade gleaming under the case. On eBay, you’d spend an hour researching past sales, filtering by centering, hoping the auction ends well. On Misprint, you tap a button. A price appears, not a guess but a live bid, the product of a machine parsing millions of data points from auctions, grading reports, and closed sales [Y Combinator, 2025]. It’s the kind of instant, numeric clarity that turns a collector’s hobby into an investor’s spreadsheet. This is the feeling Misprint is selling: the frictionless, quantified trade.

The bet on market microstructure

Misprint is not just another collectibles marketplace. Its founders, Eva Herget and Jonathan Jenkins, are betting that the $1B+ market for graded Pokémon cards [YouTube, 2025] operates with the inefficiency of a pre-electronic stock exchange. The core product is a real-time bid/ask order book, a structure familiar from equity trading but alien to the fragmented world of hobbyist forums and auction houses. The company claims this makes listings 20 times faster than on competitor platforms [Perplexity Sonar Pro, 2025]. The real wedge, however, is the machine learning layer that powers pricing. By continuously analyzing sales data, the platform aims to give every card a transparent, dynamic value, reducing the information asymmetry that defines collectibles trading. It’s a bet that this niche is ready for institutional-grade tools.

A founding team of collector and quant

The company’s origin story fits the product’s dual nature. CEO Eva Herget is a passionate Pokémon card collector, featured in a day-in-the-life video demoing the platform [YouTube, 2025]. CTO Jonathan Jenkins left a mathematics PhD program at Penn State University to build the technical infrastructure [RocketReach, 2026]. This pairing,domain obsession and quantitative rigor,is reflected in their early backers. Misprint was part of Y Combinator’s Winter 2025 batch and has raised a $500,000 pre-seed round from investors including Ludlow Ventures, Multimodal Ventures, Palm Drive Capital, and Pioneer Fund [Crunchbase, Mar 2025]. The team of four is now hiring for founding engineering roles focused on marketplace systems and ML pricing, signaling intent to scale the data operation [Y Combinator, 2026].

Pre-seed (2025) | 0.5 | M USD

The competitive landscape and its gaps

Misprint enters a field of giants and specialists. The table below outlines the key players and their approaches.

Competitor Primary Model Focus Area
eBay Auction/Listings General marketplace, immense volume but opaque pricing
PWCC Auction House High-end, vintage sports & TCG, curated but slower
Goldin Auction House Ultra-high-end memorabilia and cards, not for mass market
StockX Bid/Ask Marketplace Sneakers & streetwear, a model Misprint directly echoes

The opportunity, as Misprint sees it, lies in the gaps between these models. eBay has liquidity but no price transparency. Auction houses have prestige but lack speed for the serial trader. StockX proved the bid/ask model for consumer goods but hasn’t focused on the nuanced, data-rich world of graded collectibles. Misprint’s risks are classic marketplace challenges:

  • Liquidity begets liquidity. The platform needs a critical mass of buyers and sellers to make its order book meaningful, a classic cold-start problem.
  • Data moat depth. The value of its ML pricing depends on the proprietary depth and quality of its ingested sales data, which larger platforms could theoretically replicate.
  • Community trust. Graded card collecting is a community-driven hobby; displacing established forums and trusted auction houses requires more than just speed,it requires perceived fairness and accuracy.

The cultural question in the slab

Every product answers a question about its users. For decades, the Pokémon card market asked its participants to be detectives and historians, to know the subtle difference between a 9 and a 10, to remember what a Shadowless Charizard sold for last month. Misprint implicitly asks: what if you didn’t have to? What if the market’s collective knowledge,its sentiment, its history, its minute fluctuations,was distilled into a single, live number? It replaces curation with calculation, folklore with finance. The company’s trajectory will test whether a generation of collectors, raised on digital asset prices and Robinhood charts, wants their childhood nostalgia to trade with the cold, efficient clarity of a stock.

Sources

  1. [Y Combinator, 2025] Misprint: Misprint is building Robinhood for Pokemon cards | https://www.ycombinator.com/companies/misprint
  2. [Crunchbase, Mar 2025] Pre Seed Round - Misprint - 2025-03-12 | https://www.crunchbase.com/funding_round/misprint-pre-seed--67c356bf
  3. [YouTube, 2025] Unhinged Day in the Life of a Pokemon Card Startup Founder | https://www.youtube.com/watch?v=unknown
  4. [Perplexity Sonar Pro, 2025] Misprint briefing | Not a direct URL
  5. [RocketReach, 2026] Jonathan Jenkins Email & Phone Number | https://rocketreach.co/jonathan-jenkins-email_712849831
  6. [Y Combinator, 2026] Lead Systems & Product Engineer (Founding Software Engineer), Own the Pokemon Marketplace at Misprint | https://www.ycombinator.com/companies/misprint/jobs/MqeK77M-lead-systems-product-engineer-founding-software-engineer-own-the-pokemon-marketplace
  7. [Y Combinator, 2026] Lead ML & Data Engineer (Founding Engineer), Own Pricing + Market Data at Misprint | https://www.ycombinator.com/companies/misprint/jobs/JfZ31DR-lead-ml-data-engineer-founding-engineer-own-pricing-market-data-at-misprint

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