Each app on this page teaches one quantitative risk method by letting you run it. Each one takes a single problem, such as a batter’s season average, a VaR model’s breach count or a register of cyber loss scenarios, and works through the model one step at a time. When you change an input, the estimate, the uncertainty range and the charts update right away. You see what the math is doing instead of taking it on faith.
All the apps use the same layout. The Simulator tab holds the inputs, results and charts. The Guide & Math tab explains the model in plain language, and its worked examples recalculate from whatever values you enter. Each app comes loaded with illustrative data, so you can start right away and then swap in your own figures. Everything runs in your browser with no account or install, and each app’s source code is public on GitHub.
These are teaching tools, not production systems. They favor clear, visible math over regulatory or forecasting precision. They work best for building intuition, training a team, or explaining a method to a board before you commit to it. One or two new apps are added each month, covering Bayesian methods, simulation, tail risk and network analysis. When you’re ready to apply these methods to your own data, that’s the work Seeking Eureka does.
