stickmanhq

Everyone is getting too many text messages and emails.

Kids are deep in Minecraft. Adults don’t need deeper software. We need tools that hand time back to craft and people.

Each twin below is a clear picture of the work—so you spend minutes deciding, not hours clicking. Selective team. Systems you own. Explore Elevator Twin below.

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ETElevator TwinGrain intelligence · confidential demo
Facility twin online—:—
Live digital twin · anonymized facility data · you own the IP day one

Grain elevator intelligence

They count bushels. We model what comes out of the bin.

Scale tickets + grade factors + accounting bin assignment + live level sensors → weight-averaged composition and FIFO forecasted outbound grade on every ship ticket. Built so the facility owns the process IP — not another locked SaaS silo.

Grain elevator digital twin with bins and control overlays
OK · 4 bins instrumentedSonar feed live

3D digital twin

Walk the facility in the model

Live fill from sensor %. Selected bin rings gold. Drag to orbit — same bins as the recon board below. Demo site only; no real site identity.

WebGL twin online

Live facility flow

From truck scale to processor ticket — with eyes on the bin

Elite elevators don't only ask “how many bushels?” They ask “what grade comes out when we load this truck?” Stack every load as a layer, fuse live level sensors, forecast outbound grade with FIFO math.

Step 1 of 4 active
1● live

Scale & grade in

Every inbound load captures ticket weight plus moisture, FM, damage, test weight — not just pounds.

Intake
2

Assign bin

Accounting or scale house says which bin. Layers stack FIFO so composition stays honest.

Loads
3

Model the pile

Weight-averaged grade across remaining inventory. Moisture risk flags spoil risk before you ship.

Bins
4

Ship with forecast

Outbound ticket gets FIFO-forecasted grade so processors see what should come out — not a spreadsheet guess.

Ship

Sensors on the bin

Level sonar sees fill — the model sees quality

Ultrasonic / radar / cable sensors report how full the bin is (level %). That alone is what most bin-monitor products stop at.

We ingest the same signal over a webhook (POST /api/integrations/sonar) and show it next to weight-averaged grade from every load still in the bin. Quantity from the sensor. Quality from the ledger. Outbound from both.

  • Sensor: level % → capacity planning, overflow risk, reconcile vs model bu
  • Model: moisture / FM / damage layers → what processors actually buy
  • Draw: FIFO forecast attaches expected grade to the ship ticket

North 1 · Corn

sonar tick
Level sensor

Mounted in roof / hatch — measures freeboard → fill %

Grain bin
T-1042 · 14.8% M
T-1038 · 13.9% M
T-1021 · 15.2% M
Sensor 72%

FIFO layers (oldest at bottom)

Sensor fill72%

Live from sonar / radar webhook

Model inventory66%

From scale tickets still remaining in bin

Live facility

Site A · Grain facility

Confidential location · Model inventory + sensor fill side by side · moisture risk · outbound grade.

Inventory

61,800 bu

3.47M lb modeled

Active loads in bins

14

Awaiting bin

1

Scale house queue

Moisture alerts

1

High / critical bins

Sensor recon

2

0 alert · 2 watch

Sensor ↔ model reconciliation

Compares live bin fill (sonar) to ticket inventory. Large gaps = shrink, missing loads, or packing.

0 alert2 watch2 ok
  • North 1watch

    Sensor 7.2 pts above model — check packing or missing outbound draw.

    72% sensor · 65.8% model

    +6.2 pts · ~1,740 bu gap

  • West 4watch

    Sensor 7.4 pts above model — verify scale tickets assigned.

    61% sensor · 53.6% model

    +7.4 pts · ~1,330 bu gap

Moisture insights

Commodity-aware spoil risk from weight-averaged in-bin moisture.

  • North 1

    Avg 14.2% M · corn — monitor for heat if ambient rises

    watch
  • East 3

    Avg 13.6% M · stable layers, good ship window

    low
  • South 2

    Avg 12.4% M · soybeans within target

    low

Bin status · model vs sensor

Gold = tickets remaining. Blue = live sonar fill %. Large gaps mean shrink, packing, or missing loads.

All bins

North 1

Corn · 4 loads

watch

18,420 bu

model · 65.8% of 28,000 bu

Model (tickets)65.8%
Sensor (sonar)72%
M 14.2%FM 1.2%DMG 0.8%

South 2

Soybeans · 3 loads

low

12,110 bu

model · 55.0% of 22,000 bu

Model (tickets)55.0%
Sensor (sonar)54%
M 12.4%FM 1.2%DMG 0.8%

West 4

Wheat · 2 loads

watch

9,640 bu

model · 53.6% of 18,000 bu

Model (tickets)53.6%
Sensor (sonar)62%
M 13.1%FM 1.2%DMG 0.8%

East 3

Corn · 5 loads

low

21,800 bu

model · 72.7% of 30,000 bu

Model (tickets)72.7%
Sensor (sonar)72%
M 13.6%FM 1.2%DMG 0.8%

Recent loads

scale house

T-1124 · Corn

Supplier A · today 08:14

54,280 lb

in bin · 14.1% M

T-1123 · Soybeans

Supplier B · today 07:52

51,900 lb

in bin · 12.3% M

T-1122 · Corn

Regional co-op · today 07:21

55,100 lb

awaiting bin · 15.4% M

T-1121 · Wheat

Supplier C · today 06:48

48,200 lb

in bin · 13.0% M

T-1120 · Corn

Supplier A · today 06:11

53,760 lb

in bin · 13.8% M

Outbound

S-2201

Processor A · 102,400 lb · 14.0% M forecast

S-2200

Processor B · 98,800 lb · 12.5% M forecast

S-2199

Mill customer · 88,200 lb · 13.2% M forecast

Shipments →

Elevator Twin · intake → composition → draw · outbound grade · you own the IPDemo data · names and site identity redacted

Digital twin model · category UI inspired by Industrial grain facility twin · you own the IP day one

Want the twin of this company? Open the stickmanhq studio twin →

Ownership Workbench

Four digital twins. Zero subscription theater.

Each tab is a different product-category twin: grain facility intelligence, Beacon school campus ops, field dispatch, and warehouse kitting. Pick the craft that matches yours — then own the system, not a seat license.

Grain elevator

Facility twin for bins, moisture, draws, and loads — composition you can trust, not a generic farm app.

Beacon · school

Campus ops already built: attendance and daily workflows with role views families and staff can use.

Field service

Route and job-pin twin for the hottest SMB rent category — dispatch shaped around your crews.

Warehouse · kit

Staging and kitting off the whiteboard. Floor twin and phone views you keep as IP.