Customer fleet, built from scratch.
An interactive single-file HTML demo showing what an AI-assisted engineer can ship end-to-end in a day — procedurally generated 100-customer fleet, live-filtered analytics, Leaflet map with three layer modes, real-document library with signed P&IDs, and a side-by-side comparison tool. No backend, no framework, one file.
Revenue, installs, and status at a glance.
Four native-canvas charts: a donut of revenue by region, horizontal bars of customers by industry, a cumulative installation curve 2019→2026, and stacked bars showing service status per region. All four re-render on every filter change.
Revenue by region
Customers by industry
Fleet growth · YoY
Status breakdown
Pins, heat, or territories.
CartoDB Dark basemap with an always-on graticule. Each customer is a colored dot by status; toggle Heat for density or Territories for convex-hull regions. Every table row has its own locate icon — click it to fly the map to that customer.
Fleet map
Every customer, one tap away.
Sortable, filterable table. Click a row to open the customer dossier — contact, coordinates, revenue trend, and a six-document library (contract, commissioning certificate, P&ID, two service reports, spare parts list). Select up to three rows to compare side-by-side.
| Customer ↕ | Region ↕ | Industry ↕ | Product ↕ | Status ↕ | ACV (€) ↕ | Installed ↕ |
|---|
Five products, each with a real P&ID.
Click any card to see the schematic — compressor trains, CIP skids, transcritical CO₂ racks, fermentation suites, parallel refrigeration. Each P&ID is a downloadable SVG file with ISA-style instruments, grid, legend and title block.