analytics, bi & data·run 140 · Jun 2026

WarehouseDeck

A white-label seller analytics surface for B2B marketplace portals that executes governed read-only metrics over approved warehouse views, enforces seller and role boundaries, cites definitions and freshness, and separates observed performance, forecasts, settlement records, and operator decisions.

Genesis score6.93/10

Make WarehouseDeck real.0/500

500 more votes and WarehouseDeck is authorized for build.

0%500 to authorize

Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.

The opportunity

5Cross-references

7Inbound connections

3Direct connections

The case

B2B marketplace operators may hold orders, catalog, inventory, returns, fees, fulfillment, and settlement data while sellers receive static exports or support answers. WarehouseDeck lets an operator publish approved KPI cards and bounded questions inside the seller portal without building a separate analytics implementation for every tenant. Warehouse-native does not mean no data leaves the warehouse: query text, results, metadata, caches, logs, and model processing require an exact data-flow contract. Source event, modeled fact, metric definition, seller entitlement, query, result, freshness, forecast, operator decision, settlement statement, payout instruction, provider acknowledgment, seller receipt, dispute, and correction remain distinct.

Who pays — and why

A product, data, seller-success, finance, or operations owner at a B2B marketplace with a governed warehouse and an authenticated seller portal.

What it unlocks

A seller-entitlement model binding marketplace, legal seller, account, user role, catalog scope, geography, period, row and column policy, contract, expiry, and revocation

A governed metric catalog preserving business definition, source model, calculation, grain, dimensions, exclusions, freshness, test assertions, owner, version, and correction

An embedded query and decision record separating user question, approved intent, compiled read-only query, policy result, source snapshot, cited output, forecast assumptions, export, operator action, settlement, payout, dispute, and correction

How Genesis scored it

6.93across seven criteria

Temporal window

The source identifies current semantic-layer unbundling and marketplace distribution mechanisms without a forcing deadline.

Buyer persona

Marketplace product, data, and seller-success owners are specific and control the seller portal surface.

Convergence

Five cross-references, seven inbound connections, and three direct connections provide broad corroboration while the grounded score remains five.

Why it scored well

Five cross-references, seven inbound and three direct links, a confirmed marketplace analytics peer, active embeddable analytics infrastructure, and no identified warehouse-native white-label seller product support a strong operator wedge.

What's holding it back

Tenant isolation and metric correctness are high-risk, marketplaces have heterogeneous schemas, embeddings and natural-language queries require governance, generic analytics vendors can extend, sales and integrations are enterprise-heavy, and pricing is unvalidated.

Signals detected5 sources crossed

Signaltwosided.io product research

Signalstratif.io and Atlas repository research

SignalMotherDuck product research

SignalSnowflake program documentation

SignalSource-run market scan

Direction briefwarehousedeck.md

warehousedeck.md

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Discussion

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