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Solar Butter Home Energy Simulator is an advanced residential energy modelling platform that calculates how solar panels, batteries, and heat pumps perform in real-world conditions. Instead of relying on annual averages, it uses hourly weather data and dynamic tariff structures to simulate energy flows throughout the year.
Solar Butter started from a simple frustration: my own home energy system wasn’t performing the way I expected.
After installing solar panels and a heat pump, I assumed the numbers I’d seen in standard calculators would roughly hold up in reality. The payback periods looked solid, the savings were promising, and everything seemed straightforward on paper.
But once everything was actually running, the results didn’t quite match the expectations.
The solar generation wasn’t aligning with when the house actually needed energy. The heat pump load shifted demand in ways that weren’t reflected in the original estimates. And the battery sizing was clearly going to depend heavily on timing, tariffs, and seasonal variation - none of which were properly captured or analysed during install.
Most calculators were built around annual averages. They told me what should happen over a year, but not how energy flows hour by hour. And that difference matters a lot once you start combining solar, storage, and heating in a real home.
That gap between “estimated performance” and “real-world behaviour” is what pushed me to build Solar Butter - a system that models home energy dynamically, using hourly weather data and time-based tariffs, so you can see how the system actually behaves over time.
The goal was simple: understand how real systems actually perform before committing to expensive installations.
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About Solar Butter on Product Hunt
“Solar Butter Home Energy Simulator”
Solar Butter was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #91 on the daily leaderboard. Solar Butter Home Energy Simulator is an advanced residential energy modelling platform that calculates how solar panels, batteries, and heat pumps perform in real-world conditions. Instead of relying on annual averages, it uses hourly weather data and dynamic tariff structures to simulate energy flows throughout the year.
Solar Butter was featured in Batteries (3.8k followers), SaaS (42.6k followers) and Climate Tech (13k followers) on Product Hunt. Together, these topics include over 48.5k products, making this a competitive space to launch in.
Who hunted Solar Butter?
Solar Butter was hunted by Alexander Kitt. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Solar Butter stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Alexander Kitt
What inspired me to build Solar Butter
Solar Butter started from a simple frustration: my own home energy system wasn’t performing the way I expected.
After installing solar panels and a heat pump, I assumed the numbers I’d seen in standard calculators would roughly hold up in reality. The payback periods looked solid, the savings were promising, and everything seemed straightforward on paper.
But once everything was actually running, the results didn’t quite match the expectations.
The solar generation wasn’t aligning with when the house actually needed energy. The heat pump load shifted demand in ways that weren’t reflected in the original estimates. And the battery sizing was clearly going to depend heavily on timing, tariffs, and seasonal variation - none of which were properly captured or analysed during install.
Most calculators were built around annual averages. They told me what should happen over a year, but not how energy flows hour by hour. And that difference matters a lot once you start combining solar, storage, and heating in a real home.
That gap between “estimated performance” and “real-world behaviour” is what pushed me to build Solar Butter - a system that models home energy dynamically, using hourly weather data and time-based tariffs, so you can see how the system actually behaves over time.
The goal was simple: understand how real systems actually perform before committing to expensive installations.