Open the Nike cohort
Network projection visuals · powered by the droplinked modeler

Pick how to see the droplinked network projected.

Three primary network projection visuals plus two analytical companions. Same modeler engine, different example modes — a specific cohort (Nike at $9.29M GMV), a partnership activation (10K merchants per PSP), and a custom brand projection (drop any storefront URL).

Primary projections
01 · Cohort example
Nike — Flow of Value
Live demo cohort. Nike DTC + 6 distributors + 15 affiliates + 2 lenders running through droplinked across 5 transaction waves. Animated network graph, agentic-vs-traditional cost compare, onchain attestation anchor.
$9.29M
cumulative GMV
65
transactions
12
attestations
Open the cohort
02 · Partnership activation
PSP partner activation
When a PSP signs (Stripe / PayPal / Telr / Bonum / PayMob), 10K of their merchants light up the network. Wave 0 → Wave 5 progression across 5 droplinked pillars. Multi-PSP rollup + 250K global saturation views.
5 PSPs
selectors
6 waves
0 → activated
250K
global saturation
Run the activation
03 · Custom brand
Project any brand
Drop a storefront URL. The modeler returns a cohort-anchored projection — matched B2B distributors, affiliate channels, lender capacity, plus PSP-rail routing inferred from TLD. Gemini-driven brand persona + per-distributor fit rationale.
Any URL
input
~10s
to render
Gemini
brand intel
Open the projector
Analytical companions
04 · Business model
Revenue model — per-PSP, multi-PSP, global
36-month forecast for the droplinked business model across three network states. Stress-tested with 8 specific assumption findings. Audience: partners, investors, network-liquidity providers.
See the model
05 · Merchant value
Merchant network efficacy
What's it worth to a merchant to join the droplinked network? Time-to-financing, agentic revenue uplift, cost-of-capital reduction, distribution reach. Status-quo vs at-wave-N side-by-side.
See the merchant value
06 · InventoryOS modeler
Attested catalog → sales + lending
Per-brand modeler. Tune SKU count, attestation completeness, listing optimization, vertical — the engine projects monthly sales, lender tier (T0/T1/T2 vs MCA), credit capacity, and the 12-month climb as attestation completes.
Open the modeler
Each visual is rendered by the droplinked modeler — an agentic swarm simulation engine that takes scenario inputs (a cohort, a PSP partnership, or a brand URL) and projects the network state. The modeler shares the same source-of-truth fixtures across all five views, so the Nike cohort GMV, the PSP rail definitions, and the revenue-model parameters are consistent between visuals.