Locked waves
Public card pool, deadline, pack price, rarity summary, pulled cards, and remaining cards.
Investors
A transparent PSA rip engine with disciplined pool economics.
House of Slabs sells openings into locked card waves. The wedge is collectible entertainment; the defensible layer is custody, rarity, proof, buyback liquidity, and pricing data.
- MVP productPaid openings
- Trust layerVerifier + custody
- Model focusPool margin
01 / What we sell
Customers buy one opening into a fixed physical card pool.
Most cards will be worth less than the pack price. That is normal. The product works when the full pool cost, fees, and reserves are lower than the total revenue from sold openings.
Frozen templates
One primary pack template per MVP wave with tier rules and algorithm version locked at publish.
Verifier
External randomness plus public deterministic replay so customers can verify each opening.
Buyback credit
Customers can deliver, accept store credit, or decide later before automatic buyback rules apply.
02 / Rarity system
Rarity is a published operating rule, not a vibes label.
TierPool shareValue bandPurpose
Base
60-75%< 0.7x packAffordable verified slabs that make the pool deep enough to sell at accessible prices.
Core
15-25%0.7x-1.2xNear-pack cards that keep ordinary pulls credible and reduce the gap between floor and price.
Hit
6-12%1.2x-3xVisible upside that customers can reasonably hit without relying only on extreme chase cards.
Chase
1-4%3x-8xMemorable pulls that carry drop excitement and trigger higher evidence and shipping controls.
Grail
0-1%8x+Optional headline card for special waves only; requires separate approval and reserve discipline.
Publish both the tier mix and the full card list. The tier label helps users understand odds; the visible pool keeps the offer honest.
03 / Pool economics
Change the wave assumptions and the model recalculates.
Tier mix and cost
100%Base%$
Core%$
Hit%$
Chase%$
Grail%$
Base700.0 cards$12.00$8,400
Core200.0 cards$25.00$5,000
Hit70.0 cards$65.00$4,550
Chase20.0 cards$150$3,000
Grail10.0 cards$355$3,550
Percentages are normalized for cost math if they do not add to 100, but the warning stays visible because published wave odds should be exact.
04 / Break-even
Break-even moves with pack price, rarity mix, and cost basis.
Live formula
ceil((pool cost + reserve) / (pack price x (1 - fee rate / 100)))
478 of 1000 packs to break even
Sellout ROI: 109.5%
Sold1000
Revenue$60,000
Profit$30,100
100% sell-through
Profit curve
0-100% sell-through, one point per percent.
$30,100
Break-even48%
Selected100%
Selected profit$30,100
Illustrative planning model only. It excludes taxes, payroll, marketing, chargebacks, financing costs, and final legal/accounting treatment.
05 / Capital loop
Store credit can turn buybacks into repeat demand.
- Acquire slabs below modeled pack economics.
- Publish a locked wave with visible rarity and proof rules.
- Sell at least 478 of 1000 openings (48%) before treating margin as real.
- Resolve pulls into delivery or store-credit buyback.
- Reverify bought-back inventory before future waves.
Engineering
MVP app, admin, verifier, queue, ledger
Inventory
$24,500 modeled pool plus $3,000 reserve at current settings
Risk
Legal/accounting, approvals, fraud, support
Pricing
$30,100 modeled sellout profit and 109.5% ROI
06 / What we validate first
The MVP should prove repeatable wave construction before scaling.
Sell-through threshold
Can a 1000-opening wave reach 478 of 1000 openings (48%) without discounting away $30,100 sellout profit?
Acquisition discipline
Can the team source enough Base/Core cards cheaply while keeping Hits/Chase credible?
Buyback behavior
What percentage accepts store credit, and does recycled credit create repeat openings?
Trust conversion
Do public pools, proof, and rarity transparency improve conversion enough to justify the build?
Investor story: start with disciplined sourcing and sell-through data, then expand the verifier, pricing indexer, and credit loop once the unit economics are proven.