Welcome to the future of time series forecasting:

Accuracy made simple. Confidence made certain.

I’m Kevin Burk, founder of Targeted Seasonal Forecasts (TSF)—a SaaS platform that challenges everything you think you know about forecasting.

What Makes TSF Different

Most forecasting tools obsess over averages. They flatten the very thing businesses and investors need most: variability, volatility, and direction. TSF was built on years of independent research into time series data, culminating in a proprietary Model of Temporal Inertia and an architecture of 18 seasonal models that capture time in ways no competitor does.

These models don’t just track quarterly sales bumps or holiday spikes—they also pull from astrology-based seasonal cycles, treating the calendar as more than just days and months. By combining classical seasonality with irregular, even planetary-influenced cycles, TSF uncovers hidden patterns that traditional statistics simply miss.

Why It Matters

The result is forecasting that is:

• Directional: predicting up vs. down is often more actionable than predicting an “average.”
• Volatility-aware: instead of punishing variation, TSF highlights it as opportunity.
• Tradable: insights map directly to how businesses and investors make decisions under risk.

Conversation Topics

• Why traditional accuracy metrics (like MAPE) fail when applied to real markets
• How TSF integrates scientific rigor with unconventional seasonal lenses
• The role of volatility in forecasting—and why ignoring it is fatal
• What it takes to turn years of independent research into a SaaS product
• How forecasting can change when we stop treating the calendar as a flat grid

Audience Fit

Perfect for podcasts on entrepreneurship, finance, e-commerce, data science, or future-tech. If your listeners are tired of cookie-cutter models and want to hear about a truly original approach to predicting the future, I’d love to join your show.