HobbyCardIndex VS YieldStack

YieldStack's answer:

The largest CRE Lenders in the USA

HobbyCardIndex's answer

Node.js and Express on the back end, PostgreSQL with TimescaleDB for the price history, Redis for caching, and React with Vite on the front end. The card scanner runs on our own image-matching index built from catalog and real sold-listing photos, so a phone picture comes back as the exact card. The public REST API sits on the same stack, documented at hobbycardindex.com/developers.

YieldStack's answer:

AI integrations supporting the platform’s workflows.

HobbyCardIndex's answer

It prices the exact card at the exact grade. Most tools give you one number per card, or one per PSA grade. We show raw, PSA 10, 9 and 8, BGS 9.5, CGC 10 and SGC 10 side by side from real sold comps, on more than 16 million cards across sports and trading card games, and a grade we don't have comps for shows as a floor instead of borrowing a neighbour's price.

The other part is that it's independent. No grading company or marketplace owns a piece of it, so nobody with a stake in the number is setting it. And the same data is open to other businesses through our API, so an app or a shop can build on it instead of scraping.

YieldStack's answer:

YieldStack combines AI-assisted lender matching with hands-on commercial mortgage brokerage. Borrowers submit once, compare financing options, and work with a team that handles structuring, negotiation, and closing coordination. Borrowers approve lender outreach, with no upfront fees and a broker fee paid only at closing.

HobbyCardIndex's answer

Because you can do the whole loop in one place. Look a card up or scan it with your phone, see what it sells for at every grade, check whether grading it pays, add it to your collection, and set an alert, without bouncing between four apps. Dealers get inventory, show tools and an eBay listing builder on the same data.

It also covers more than most: sports and trading card games together, more than 16 million cards, with Japanese Pokémon and One Piece sets most tools skip. It's free to start with no credit card, and the paid plans start at $8.99 a month.

YieldStack's answer:

YieldStack helps borrowers evaluate the whole financing offer: rate, leverage, fees, reserves, prepayment terms, and closing requirements. Its platform organizes the process, while its brokerage team helps borrowers find suitable lenders and move the deal forward. One submission gives borrowers a coordinated financing process without an upfront brokerage fee.

HobbyCardIndex's answer

Three groups, roughly. Collectors who want to know what their cards are worth and whether a card is worth grading, sports and TCG both. Dealers and show vendors who need inventory, pricing at the table and an eBay listing builder that runs off real comps. And businesses, apps, card shops and marketplaces that want card prices, sold sales and card recognition from a photo inside their own product, through our API and a commercial data license.

YieldStack's answer:

Commercial real estate investors, developers, operators, and mortgage brokers seeking bridge, DSCR, fix-and-flip, construction, multifamily, and permanent financing across the United States.

HobbyCardIndex's answer

I collect and deal cards out of Victoria, BC, and I kept running into the same thing: pricing one card meant checking three or four apps and still not getting a straight answer for the grade I was holding. Most of the tools were also owned by a grader or a marketplace, which never sat right with me.

So we built the thing I wanted. Real sold prices on every card and every grade, a scanner that works from the phone at a show, collection tracking, and grading math before you pay the fee. We added dealer tools because I needed them myself, and then an API once other businesses started asking for the same data. It's bootstrapped, no outside money, and launched in 2026.

YieldStack's answer:

Rommin Adl and Daniel Chesney founded YieldStack to simplify commercial real estate financing. The platform brings deal preparation, lender matching, offer comparison, and closing coordination into one workflow, combining AI-assisted analysis with human brokerage expertise.