Grids, flows and sensor swarms — load and price across a synthetic grid, devices wired into logic — streamed live and watched as they shift.
Live load, generation and price across a synthetic power grid.
The flow editor itself, embedded — wiring devices into logic.
A municipal water grid solved for real: a reservoir feeds homes and hydrants through a web of pipes, head loss balances around every loop, and you watch pressure drain across the map when you open a hydrant or break a main.
A Kiva-style robot fulfillment floor: orders arrive, the nearest free robot is dispatched to A*-route a shelf pod to a pick station and back — crank the fleet size and watch throughput climb until traffic congestion at the choke points saturates it.
Watch a tiny blip in customer demand snowball into wild order-and-inventory swings up a multi-stage supply chain — the bullwhip effect, live.
Whisper a rumor into one node of a social network and watch it cascade — the Daley–Kendall model with ignorant, spreader and stifler states, where chatter takes off, gets old, and dies out before everyone has heard.
Watch an M/M/c queue breathe — Poisson arrivals stream into a line, exponential servers drain it, and the wait explodes the instant the traffic intensity crosses one.
A publish/subscribe message bus you can watch breathe — publishers emit on topics, a broker fans each message out to every subscriber, and a slow consumer’s queue visibly fills until lag explodes and messages drop.
Watch a single request fan out through a microservice mesh and assemble a live Jaeger-style trace waterfall — then inject latency and errors to make spans stretch, retries fire, and a circuit breaker trip in real time.
Watch a load balancer fan a storm of requests across a backend pool — switch routing strategies, kill a node, flip on autoscaling, and see queues fill, saturate, and drop in real time.
A self-running kanban board where work cards age and flow through WIP-limited columns — loosen the limits or starve a bottleneck and watch cycle time balloon as Little’s Law plays out in the cumulative flow diagram.
Light a single infected node and watch a contagion race across a living graph — random, small-world, scale-free or spatial — while the SIR curve below charts the outbreak peak and the wall of herd immunity.
A bank of elevator cars serving a building of Poisson-arriving passengers — switch dispatch policies and watch SCAN and zoning crush naive nearest-car under up-peak traffic.
Watch your phone stay connected as it roams — mobiles lock onto the strongest tower, hand off across cell boundaries, and get blocked when a crowded cell runs out of channels.
Trip one transmission line and watch its load pour onto its neighbours — overloading them, tripping them, until a single failure has dragged a whole region into the dark, the way the 2003 Northeast blackout did.
Watch parts crawl through a chain of work stations until one slow machine starves the rest — the Theory of Constraints made visible, where only relieving the bottleneck ever raises throughput.
Sequence inbound aircraft onto the final approach while keeping radar separation — crank the arrival rate and watch holding stacks form as the auto-controller juggles throughput against safety.