CommandResource Allocation Engine
Resource Allocation Engine
Shared infrastructure as a finite asset. Who pulls capacity, where bottlenecks live, where ROI is highest.
Team capacity & bottlenecks
AI Product88% used
top consumer
TradeOS
bottleneck
Eval infra
Growth72% used
top consumer
LeadBank
bottleneck
Paid creative
Analytics64% used
top consumer
LeadBank
bottleneck
Warehouse cost
Recruiting55% used
top consumer
TradeOS
bottleneck
Senior AI eng
Operations81% used
top consumer
Phone
bottleneck
Vendor onboarding
Design69% used
top consumer
Launch
bottleneck
Brand cycles
Shared Engineering92% used
top consumer
TradeOS
bottleneck
Platform migration
Product × resource consumption
Cells show weekly cycles consumed (0–4 scale). Read columns to spot resource drains.
| Product | AI | Growth | Analytics | Recruiting | Ops | Design | Eng |
|---|---|---|---|---|---|---|---|
| TradeOS | 4 | 2 | 2 | 3 | 1 | 3 | 4 |
| LeadBank | 3 | 4 | 4 | 1 | 1 | 1 | 3 |
| Passport | 1 | 1 | 2 | 1 | 1 | 2 | 3 |
| Launch | 2 | 3 | 2 | 4 | 2 | ||
| Phone | 3 | 1 | 1 | 4 | 1 | 2 | |
| Capture | 2 | 1 | 1 | ||||
| Website | 2 | 1 | 3 | 1 | |||
| Start | 2 | 1 | 1 | 1 | 2 | 1 | |
| Avenger | 2 |
Allocation principles
Resource follows traction, not narrative
- Highest-velocity product gets the next free cycle.
- Bottleneck teams get one capacity increase per quarter, not per ask.
- If a product consumes >30% of any shared team for 4 weeks, it pays back via revenue or it gets re-stage-gated.
- Paused and Spinout products release their cycles within 7 days.