Misprint is building Robinhood for Pokemon cards

Misprint is an all-in-one marketplace that solves the biggest pain point in the collectibles world: opaque pricing. Collectors, investors, and hobbyists currently rely on scattered data from auction houses, online forums, and reseller platforms, making it difficult to know the true value of their items. Misprint streamlines the process by combining accurate pricing analytics with a seamless buy/sell marketplace, making it easier than ever to understand and monetize collectible assets. Existing marketplaces lack robust, real-time analytics because accurate valuations require deep expertise in both the collectibles domain and advanced pricing algorithms. Misprint’s unique blend of insider trading card knowledge and machine learning allows us to fill this gap. Building these pricing models requires extensive data infrastructure, deep domain expertise, and cutting-edge ML. Recent surges in the trading card market show that collectors crave transparent valuations. The global collectibles market is worth tens of billions of dollars. Eva has experienced the scale of this industry firsthand, generating $500k ARR within three months of taking her Pokemon card-selling side hustle full-time. With additional segments like sports cards, comics, and emerging collectible categories, the growth runway is immense. Co-founders Eva and Jon have been best friends since Exeter, combining finance expertise, a passion for collectibles, and mathematical rigor. By merging Goldman Sachs-level financial analytics with top-tier mathematical talent, Misprint is uniquely positioned to become the go-to platform for fair, transparent pricing in the collectibles space.

marketplaceconsumer

Total Open and Closed Positions

Total open positions, and positions newly closed since the previous update

Department Headcount Over Time

Open positions per department · top 6 at any point in the window

Newly Opened and Closed Positions

Position Churn Rate

Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels

Time-to-Fill Distribution

Days from open to close · closed positions only

Salary Trend Over Time

Monthly median base salary · USD · annualized · p25/p75 dashed

Salary Range by Department

Employment Type

Technical vs. Non-technical

Open positions · by department

Top Roles by Department

Seniority Mix

Derived from job title keywords

Equity Range by Department

Top Skills

Top Tech Stacks

Skills Trend

Change in share of postings · recent 3 months vs. prior 3 months

Tech Stack Evolution

Positions opened per month · top 5 technologies