Misprint
Real-time ML-powered marketplace for graded Pokémon cards
Website: https://misprint.com
Cover Block
PUBLIC
| Name | Misprint |
| Tagline | Real-time ML-powered marketplace for graded Pokémon cards |
| Headquarters | New York, NY, USA |
| Founded | 2025 |
| Stage | Pre-Seed |
| Business Model | Marketplace |
| Industry | E-commerce / Retail |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Pre-seed (total disclosed ~$500,000) |
Links
PUBLIC
- Website: https://misprint.com
- LinkedIn: https://www.linkedin.com/company/misprint-inc/
- Y Combinator: https://www.ycombinator.com/companies/misprint
Executive Summary
PUBLIC Misprint is building a real-time, ML-powered marketplace for graded Pokémon cards, a bet that the $1B+ collectibles market is ready for the same price transparency and liquidity that transformed equity trading [Y Combinator, 2025]. The company emerged from a 2025 Y Combinator batch, founded by collector Eva Herget and mathematician Jonathan Jenkins, who left his PhD program to build the platform after developing a tool to price cards faster [Fondo, 2025]. The core product is a bid/ask marketplace that uses machine learning to analyze millions of auction and sales data points, aiming to provide instant, transparent valuations and faster listings than incumbent auction houses and forums [Y Combinator, 2025]. The founding team combines domain passion with technical execution, though their public record does not yet show prior experience scaling a marketplace business. A $500,000 pre-seed round, led by YC and joined by Ludlow Ventures and Multimodal Ventures, funds the initial build-out of a four-person team in New York [Crunchbase, Mar 2025]. Over the next 12-18 months, the key milestones to watch are the validation of its proprietary pricing model with actual transaction volume, the transition from a side-project user base to named institutional sellers, and the expansion of its engineering team as signaled by two open YC job postings for founding engineers [Y Combinator, 2026].
Data Accuracy: YELLOW -- Core company description and funding round corroborated by YC and Crunchbase; team size and background are single-source.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | Marketplace |
| Industry / Vertical | E-commerce / Retail |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Pre-seed (total disclosed ~$500,000) |
Company Overview
PUBLIC
Misprint was founded in 2025 as a Y Combinator Winter 2025 batch company, originating from a side project by its co-founders to address opaque pricing in the graded Pokémon card market [Y Combinator, 2025]. The company is headquartered in New York, NY, and operates as a marketplace, positioning itself as a modern, data-driven alternative to traditional auction houses and forums for collectors and investors [Crunchbase, 2025].
The founding narrative, detailed in a launch post, describes the project's evolution from a pricing tool built by the founders into a full-fledged marketplace after they gathered millions of sales data points [Fondo, 2025]. Encouraged by their network, they applied to Y Combinator, which provided the initial capital and structure to transition from a side project to a venture-backed startup [Startup Intros]. The company's key public milestone is its acceptance into and launch from the Y Combinator accelerator program in early 2025 [Y Combinator, 2025].
Data Accuracy: YELLOW -- Founding year and YC affiliation are confirmed by multiple sources; headquarters and business model are from Crunchbase and the company website. The founding story is sourced from a single third-party blog post.
Product and Technology
MIXED Misprint’s core proposition is a specialized marketplace that applies financial market mechanics to the trading of graded Pokémon cards. The platform is described as offering a real-time bid/ask system, aiming to provide the price transparency and liquidity that collectors and investors find lacking on existing auction houses and forums [Y Combinator, 2025]. The company’s public framing positions it as “Robinhood for Pokemon cards,” a comparison that emphasizes ease of access and data-driven pricing over the traditional, opaque negotiation process [Y Combinator, 2025].
The underlying technology is centered on machine learning models that analyze what the company claims are millions of data points from historical auctions, grading reports, and sales. This analysis is intended to generate transparent pricing guidance for users [Y Combinator, 2025]. A secondary, unverified claim suggests the platform enables listings “20x faster than competitors,” though the specific benchmark and methodology are not detailed [Perplexity Sonar Pro, 2025]. The company’s own blog includes content aimed at the collector community, such as a guide to the best Pokémon card scanners, which serves as both a utility and a traffic driver to the marketplace [Misprint, 2026].
While the full technology stack is not publicly documented, insights can be inferred from recent hiring efforts. Two founding engineer roles posted on Y Combinator’s job board in 2026 specify areas of ownership: one for the marketplace systems and product, and another dedicated to machine learning, data engineering, and pricing models [Y Combinator, 2026]. This suggests a technical architecture built around a core transactional marketplace, supported by a dedicated data pipeline for ingesting and modeling collectibles sales data (inferred from job postings). No public roadmap or specific feature timelines have been announced.
Data Accuracy: YELLOW -- Core product claims are sourced from the company's YC profile and demo; technical depth and performance claims lack independent verification.
Market Research
PUBLIC The market for high-end collectibles has transitioned from a niche hobby to a recognized alternative asset class, creating a structural need for the price discovery and liquidity mechanisms that define mature financial markets.
Quantifying the total addressable market for graded Pokémon cards specifically is challenging, as no third-party research firm has published a dedicated TAM report cited in Misprint's public materials. The company's own promotional video references a market with "$1B+ in sales volume" [YouTube, 2025], a figure that aligns with broader industry coverage of the trading card sector but lacks independent verification. For context, the global sports trading card market was valued at an estimated $13.8 billion in 2023 and is projected to reach $62.8 billion by 2032, according to a report by Spherical Insights [Spherical Insights, 2023]. While this encompasses all sports cards, it serves as an analogous market indicator for the scale and growth trajectory potential within collectible cards more broadly.
Demand is driven by several converging tailwinds. The pandemic-era surge in collectibles as both a nostalgic pastime and an investment vehicle has sustained, with platforms like eBay and PWCC reporting continued high transaction volumes. Demographic shifts are also a factor, as millennials and Gen Z, who grew up with the Pokémon franchise, now have disposable income to allocate to high-value collectibles. Furthermore, the professionalization of the space through third-party grading services (PSA, Beckett, CGC) has created a standardized, fungible asset, which is a prerequisite for any efficient marketplace. The Y Combinator profile for Misprint explicitly frames the problem as one of "opaque values on scattered platforms" [Y Combinator, 2025], suggesting the primary demand driver is not market growth itself, but the friction within the existing, growing market.
Key adjacent and substitute markets influence the opportunity. The most direct adjacent market is the broader collectibles space, including sports cards, comic books, and vintage toys, where similar pricing opacity and platform fragmentation exist. A successful model in Pokémon cards could plausibly expand into these verticals. The primary substitute is not another card marketplace, but the existing patchwork of solutions collectors currently use: major auction houses (Goldin), large online marketplaces (eBay, PWCC), and private forums. These substitutes collectively represent the serviceable obtainable market (SOM) that Misprint must capture share from by offering superior speed and pricing transparency.
Regulatory and macro forces present a mixed picture. The collectibles market is largely unregulated compared to securities, reducing a significant barrier to entry for a new trading platform. However, this also means less investor protection and potential for disputes, placing a higher burden on the marketplace operator to build trust. Macroeconomic sensitivity is a known risk; discretionary spending on luxury collectibles often contracts during recessions, potentially making the market cyclical. Counterintuitively, periods of high inflation have sometimes driven demand for collectibles as tangible asset hedges, though this relationship is not consistent.
Global Sports Trading Card Market 2023 | 13.8 | $B
Projected Global Sports Trading Card Market 2032 | 62.8 | $B
The projected near-term growth of the broader sports card market, as indicated by third-party research, provides a credible ceiling for the potential within the Pokémon card segment. The core bet for Misprint is that the value capture will come from intermediating a larger portion of this existing volume through a more efficient, data-driven platform, rather than from market expansion alone.
Data Accuracy: YELLOW -- Market size claims are based on a company promotional video and an analogous third-party report for a broader adjacent market. The $1B+ Pokémon sales volume figure is not independently corroborated.
Competitive Landscape
MIXED Misprint enters a fragmented market for high-value collectibles where liquidity and price discovery are historically opaque, positioning itself as a technology-first marketplace against a mix of auction houses, online platforms, and peer-to-peer forums.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Misprint | Real-time, ML-powered bid/ask marketplace for graded Pokémon cards. | Pre-seed, ~$500k raised [PUBLIC] | Automated pricing and listings claimed to be 20x faster than competitors. [PUBLIC] | [Y Combinator, 2025] |
| eBay | Generalist online auction and retail platform for all collectibles. | Public company. | Unmatched global reach and buyer liquidity across all categories. [PUBLIC] | [eBay] |
| PWCC | Auction house and marketplace specializing in high-end graded trading cards. | Privately held; funding not disclosed. | Deep expertise and trust in the high-end ($10k+) segment; established vault service. [PUBLIC] | [PWCC] |
| Goldin | Premier auction house for high-value sports memorabilia and cards. | Acquired by Collectors Holdings (2021). | Brand authority and consignment relationships with top-tier collectors and athletes. [PUBLIC] | [Goldin] |
| StockX | Live marketplace for sneakers, streetwear, electronics, and collectibles. | Late-stage private; raised ~$690M. | Proven bid/ask model and authentication infrastructure scaled to new categories. [PUBLIC] | [StockX] |
The competitive map breaks into three distinct tiers. At the top are the established, high-trust auction houses like PWCC and Goldin, which dominate the premium segment through curated sales, expert grading relationships, and services like asset vaulting. The middle is occupied by scaled, generalist platforms, primarily eBay, which offers immense liquidity but leaves pricing and authenticity verification largely to the seller. Finally, a newer wave of venture-backed marketplaces, including StockX, have applied a standardized, data-driven bid/ask model to categories like sneakers and are a logical adjacent threat should they expand into trading cards.
Misprint's current defensible edge rests on two linked assets: its proprietary dataset and the speed of its listing engine. The company's machine learning models are trained on "millions of data points from auctions, grading, and sales" to generate transparent pricing, a claim not made by the generalist platforms [Y Combinator, 2025]. This data moat, if continuously enriched by marketplace activity, could create a feedback loop where better pricing attracts more volume, which in turn improves the models. The operational claim of "listings 20x faster than competitors" targets a clear pain point for sellers, though this metric is sourced from a single, unverified outlet [Perplexity Sonar Pro, 2025]. The edge is perishable, however; it depends entirely on achieving initial liquidity to validate the pricing models and on maintaining a technology lead as incumbents and new entrants inevitably build similar tools.
The company's most significant exposure is its lack of distribution and trust relative to incumbents. While eBay and PWCC have millions of existing users and decades of reputation, Misprint must build its buyer and seller base from zero. It cannot yet match the authentication guarantees and financial safeguards offered by the premium auction houses, a critical factor for transactions often exceeding thousands of dollars. Furthermore, its focus on a single category (graded Pokémon cards) makes it vulnerable to a multi-category player like StockX deciding to launch a competing card vertical, leveraging its existing authentication infrastructure and massive audience.
The most plausible 18-month scenario is one of segmentation. The winner will be the platform that can demonstrably lower the friction and risk for the mainstream collector, not just the high-end investor. If Misprint can validate its pricing engine with early adopters and translate that into a superior, trustworthy user experience, it could capture a material segment of the eBay volume for graded cards. The loser in that case would be the generic peer-to-peer forum and Facebook group market, which thrives on opacity. Conversely, if Misprint fails to achieve liquidity or its pricing models prove inaccurate, it risks becoming a niche tool. The winner then would be an incumbent like PWCC or StockX, which could simply acquire or replicate the technology and deploy it to their established user bases.
Data Accuracy: YELLOW -- Competitor profiles are well-established; Misprint's differentiation claims (20x faster listings) are from a single unverified source.
Opportunity
PUBLIC
If the thesis holds, Misprint could capture a meaningful share of the opaque, high-value market for graded collectibles, a prize potentially worth billions.
The headline opportunity for Misprint is to become the primary, trusted marketplace for high-value graded collectibles, starting with Pokémon cards. The company's core premise is that a transparent, real-time bid/ask system can unlock liquidity and price discovery in a market currently fragmented across auction houses, forums, and generalist platforms [Y Combinator, 2025]. The evidence that makes this reachable, rather than purely aspirational, is the demonstrated demand for such a solution. Founder Eva Herget's public identity as a collector who experienced market frustrations firsthand grounds the venture in a real user problem [YouTube, 2025]. Furthermore, the backing of Y Combinator and a syndicate of early-stage funds provides the initial capital and network to build a minimum viable marketplace and test the core liquidity hypothesis.
The path to that outcome is not singular. Misprint's growth could follow several distinct, plausible scenarios, each with identifiable catalysts.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Category King in Graded Pokémon | Misprint becomes the default platform for serious collectors and investors in graded Pokémon cards, capturing the majority of high-value transactions. | A major grading service (e.g., PSA, BGS) integrates its certification data or forms a preferred partnership. | The company's stated focus on ML-driven pricing relies on grading data; a partnership would be a logical alignment of incentives for both parties. |
| Horizontal Expansion into Sports Cards | After proving liquidity in Pokémon, the marketplace model and pricing engine are applied to the adjacent, multi-billion-dollar sports card market. | A successful Series A round is raised with a mandate to expand the product's category scope. | The underlying market dynamics,graded assets, opaque pricing, and fragmented liquidity,are nearly identical, suggesting a replicable playbook [Fondo, 2025]. |
| Embedded Liquidity Layer for Retail | Misprint's pricing API and marketplace infrastructure become the backend for major hobby retailers and auction houses, powering their online sales. | A key retailer or auction platform licenses Misprint's technology to modernize its own digital storefront. | The company's claim of analyzing "millions of data points" for pricing positions its technology as a potential B2B service, not just a consumer app [Y Combinator, 2025]. |
Compounding success would likely manifest through a classic two-sided network effect, reinforced by a data moat. Each new high-quality seller listing attracts more buyers; increased buyer activity and bidding improves price discovery and liquidity, which in turn attracts more sellers. The machine learning pricing engine is the flywheel's core: more transactions generate more proprietary sales data, which improves the accuracy and defensibility of the pricing model, theoretically increasing user trust and transaction volume [Y Combinator, 2025]. Early signs of this flywheel are not yet publicly visible in the form of disclosed transaction volumes or repeat user rates, but the product's design is explicitly built to initiate this cycle.
To size the win, one can look at comparable marketplaces. StockX, a real-time bid/ask marketplace for sneakers and streetwear, was valued at $3.8 billion in a 2021 funding round [Crunchbase]. While not a perfect analog, it demonstrates the scale achievable by bringing stock-market mechanics to a passionate collector base. Goldin, a marketplace focused on high-end sports cards and memorabilia, was acquired for $40 million in 2021 and has since reported over $1.2 billion in annual sales [Forbes, 2023]. If Misprint executes on the "Category King in Graded Pokémon" scenario and captures a fraction of the estimated billion-dollar-plus annual sales volume cited in its own demo [YouTube, 2025], a valuation in the high hundreds of millions is a plausible outcome (scenario, not a forecast).
Data Accuracy: YELLOW -- The opportunity framing relies on the company's stated mission and product claims, which are cited. Market comps and scenario catalysts are supported by third-party reports on analogous companies, but Misprint's own traction to validate the flywheel is not yet publicly corroborated.
Sources
PUBLIC
[Y Combinator, 2025] Misprint is building Robinhood for Pokemon cards | Y Combinator | https://www.ycombinator.com/companies/misprint
[Fondo, 2025] Misprint Launches: Robinhood, But Make It Pokémon Cards | https://fondo.com/blog/misprint-launches
[Crunchbase, Mar 2025] Pre Seed Round - Misprint - 2025-03-12 | https://www.crunchbase.com/funding_round/misprint-pre-seed--67c356bf
[Crunchbase, 2025] Misprint - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/misprint
[Startup Intros] Misprint: Funding, Team & Investors | Startup Intros | https://startupintros.com/orgs/misprint
[Perplexity Sonar Pro, 2025] Misprint - Perplexity Sonar Pro Brief | (Source integrated from raw research; no direct URL)
[Misprint, 2026] The Best Pokemon Card Scanners in 2025 | Misprint | https://www.misprint.com/posts/best-pokemon-card-scanner
[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
[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
[YouTube, 2025] Unhinged Day in the Life of a Pokemon Card Startup Founder | (Source integrated from raw research; no direct URL)
[Spherical Insights, 2023] Global Sports Trading Card Market Size, Share, and COVID-19 Impact Analysis | (Source referenced for market sizing; no direct URL)
[eBay] eBay Official Site | https://www.ebay.com
[PWCC] PWCC Marketplace | https://www.pwccmarketplace.com
[Goldin] Goldin | https://goldin.co
[StockX] StockX: Buy and Sell Authentic Sneakers, Streetwear, Trading Cards, Handbags, Watches | https://stockx.com
[Crunchbase] StockX - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/stockx
[Forbes, 2023] Goldin Auctions Hits $1.2 Billion In Sales | https://www.forbes.com/sites/justinbirnbaum/2023/12/14/goldin-auctions-hits-12-billion-in-sales/
Articles about Misprint
- 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.