Forecasting that works the way your business does.
Forecast Machine learns how your business works; then predicts what comes next. Give it time-series data, business constraints, promotions, seasonality, and external drivers. It can auto-fetch commodity prices and other signals, attach contextual datasets, and learn how they interact with your data. The result: business-aware forecasts across dates, products, and locations, without rebuilding models or manual pipelines.
Hey Product Hunt! Sankshit here, PM behind Forecast Machine. We built Forecast Machine after seeing teams struggle with forecasts that looked good in charts but fell apart in the real world. Most tools treat forecasting as a math problem. We wanted to treat it as a business problem. With Forecast Machine, you don’t just upload time-series data, you explain how your business actually works: constraints, promotions, seasonality, commodity prices, and external drivers. If forecasts depend on live s
@sankshit This app looks interesting but I don't understand which data should I upload and for which period of time to get some predictions that make sense?
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.