Research note · Market screen

Beyond the catalogue: 67 new computable markets in one page

What we screened, which ten clear the bar today, and the one rule that predicts fit.

These are proposed candidates, not catalogue entries: none carries an evidence state and none is in markets.json. Scores measure structural fit, not expected returns. The only performance figure cited is from a labelled synthetic benchmark. What is measured, and what is stated as unknown, lives on Research & evidence.

We screened 67 markets outside HyperC's 135-entry catalogue (52 from the first pass, 15 from a reconciliation of 25 further proposals) against nine criteria — logistics, opportunity density, open access, long-tail mispricing, asset breadth, partial observability, a consumption sink, days-scale cadence and operations-dependent selection. Ten clear the bar for a member workflow today, about fifteen belong on the enterprise track behind a licence or a relationship, and the rest mark where the computable-market thesis stops. One rule predicts fit better than any single criterion: anyone can register, few can execute. Open access keeps the data honest; hard operations keep the mispricing alive.

01

Two edges, seven reject reasons

Finance theory allows exactly two sources of excess return in a market with no ticker. Be cheaper to operate: your trucks, cold room, licence or exit channel cost less than the marginal bidder's, so a deal that is negative for them is positive for you. That is comparative advantage, and four of HyperC's seven reject reasons live there — scale, operational fit, capacity, time. Be right where others are wrong: their estimate, rule table or attention left value behind. That is the other three — attention, prediction, complexity — and it is the only side that leaves a recorded history of passes, which is what makes it learnable.

P34 learns both from the same two tables. The money tape (realised prices, fees, holding costs, write-offs) prices your costs, so the model learns the operator's value of a deal, not the market's. The historical menu with its declined rows prices their mistakes. In low-margin markets the larger half of the edge is the false positives you refuse: in our synthetic benchmark the same 20-date menu that bled a tuned regressor to −$62.6k left P34 at +$25.8k, mostly by declining.

02

Top ten by fit

Scores are the nine criteria at equal weight, times HyperC's four computability gates, times a perimeter discount (0–100). Full list and editable weights are in the companion workbook.

# Market Score What it lives on Declined options recorded?
1 Government and municipal surplus auctions (GovDeals, GSA, Public Surplus) 92.6 15,000–25,000 live lots a day, as-is, hard pickup deadlines Yes — closed-auction archives
2 Cut-flower clock auctions (Royal FloraHolland) 88.0 18,930 products, >100,000 transactions a day, stems die in days Yes — the clock shows every pass
3 Independent-retail buying on Faire / Ankorstore 85.2 100,000 brands; the catalogue you did not order is the reject set Yes — if the catalogue is snapshotted
3 Restaurant and commercial-kitchen equipment liquidations 85.2 1,850+ live lots, "working when removed", three-day pickup windows Yes — auction archives
5 Cross-border marketplace arbitrage (MercadoLibre, Allegro, noon) 84.5 Duties, returns and FX hidden in the landed cost Yes — catalogue snapshots
5 Used-smartphone wholesale lots (B-Stock) 84.5 ~1,000 auctions a week; yield and activation locks known only after receipt Yes — closed auctions with bids
7 Fresh-produce terminal wholesale (Hunts Point) 82.3 Hours-scale spot buying, shrink, USDA price feed Partial — agent must log offers
8 Consignment intake (luxury and local resale) 81.5 Accept/decline per item offered; shelf capacity binds Yes — the shop's intake log
9 Used networking and data-centre gear (ITAD lots) 80.9 Component yields, drive locks, missing licences Yes — closed auctions
10 Printing-paper stocklots and side-runs (Go2Paper) 80.0 Spec matching (basis weight × brightness × width × core) into small print jobs; jumbo-roll freight Partial — quote-driven; lot data unverified

Just below the cut: private-label launches (79.2), Pefa fish clocks (77.4), component brokerage, insurance salvage and mill-end remnants (76.7), biomass auctions (73.9), car-hauling boards and inland barge quotes (72.8).

03

Where it stops, and what is next

The screen found four ways a market fails the thesis, each with a live example:

  • No consumer, clean comps, open access — graded coins, vacant land: nothing removes supply, so capital competes the edge down to fees.
  • One irreducible shock — used mining rigs (hashprice), bulk wine (a multi-year oversupply): a one-line rule does as well as a model.
  • Feedback slower than the regime — timber, small-business acquisitions, Reg CF: outcomes arrive in months or years; only pooled histories can reach the data floors.
  • Structure without access — hotel bed-bank inventory (contract-barred), and the licensed markets (pawn, cannabis, alcohol, medical devices, carbon) that belong on the enterprise track with counsel first.

Next: (1) publish the 67 as blueprints on the catalogue's waiting list with their evidence state; (2) build the snapshot crawlers for the top markets whose declined options are not yet recorded by the venue; (3) run shadow tests with one operator each in government surplus, the flower clocks and used-phone lots — the three where the venue already records every pass. Nothing here is a forecast of returns; the evidence base is one production deployment and a synthetic benchmark, and the thesis is that a market can fail the test.

Sources: HyperC catalogue, P34 API docs — candidate waiting list, Computable Markets working paper, Royal FloraHolland 2025, GovDeals by the numbers, B-Stock mobile storefronts, Faire; full per-market sources in the workbook P34_candidate_markets.xlsx.

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Research note — 27 September 2026. Proposed candidates are not catalogue entries; synthetic evidence is labeled as synthetic and does not establish live-market performance.