Blog Post

“Hundreds of thousands” of Nest learning thermostats sold

Nest's Tony Fadell at GigaOM RoadMapStartup Nest only launched its learning thermostat last October but the company tells the New York Time’s Bits Blog that it has sold in the “mid-hundreds of thousands,” of units range. The company — which is the brainchild of Tony Fadell, who helped design the iPhone and iPod for Apple (s AAPL) — immediately sold out of the thermostat shortly after launch, leading to long wait times for the product well into 2012.

But now, the company seems to have ramped up production, and at this point, the Nest thermostat is selling through a variety of places including Nest’s online site, the Apple store, big box retailers like Best Buys and Lowe’s and Amazon, among others. Fadell will be discussing what’s next for Nest at our annual RoadMap event, which will focus on design in the age of connectivity and will take place on November 5 in San Francisco (tickets went on sale today here).

Because the Nest device is connected and has smart algorithms, the company can push different software and services to it and see how Nest customers respond, points out the Bits writer. So called A/B testing is pretty common on the Internet, but not really widely used in the thermostat and utility worlds. Nest’s algorithms have also changed slightly as Nest has learned more about its customers.

8 Responses to ““Hundreds of thousands” of Nest learning thermostats sold”

  1. Bought 5 NEST smart thermostats and only one worked correctly. They are having issue with the battery life according to the company. I purchased these at Lowe’s and only one survived. The company sent 4 more but the battery kept dieing. I think in a rush to get the product out the kinks were not fully worked out. The Lowe’s store had a huge bin full of the Nests returned for the same problem. Good product but has issues.

  2. It is not enough that everyone in the house goes and changes the temperature all the time, but now they can do it remotely from anywhere and new algorithms will be downloaded all the time automatically will mess with it too?

    What is the main objective of a thermostat?
    Repeat after me, thermostat, thermo-stat, thermo stat, thermo… stat.

  3. Other than it being smart, will it take at least $250 off my utility bill each year so it pays off quickly. In all the hype about this product and the story about it’s inventor, I’ve seen no breakdown of savings. I’m sure there may be some, but it needs to be quantified much better in their marketing. Where’s the beef?

  4. Gary E. Zimmerman

    Predicative technology is one most interesting facets of big data. NEST may not have all the glitches fixed quite yet, but kudos to them for moving in the right direction. There is so much information readily available today, that the greatest challenge often lies in scaling information back to only use what makes sense. The NEST method of discerning what problem they want to solve (such as realizing they want to be able to differentiate between pets and humans) and then incorporating the data to fill that need, it a smart way to approach big data. It’ll be interesting to see how they do as this market grows. I just bought one of these it will be interesting to see how green and leafy I am. Gary Z, Neustar |

  5. Nest ought to try the following algorithm for setting the start time for heating a house: (Target time to reach higher temperature) – [(target temp – current temp) * (minutes per degree of temperature change while heat is on)]

    Every manufacturer of $26 thermostats seems to use something like this, so Honeywell probably wont sue over it.

    Really nice product otherwise.