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Report: Solar savings through a SolarCity residential system

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Having limited winter daylight hours combined with snow covered rooftops doesn’t make for good check out my huge solar savings conversation this month. But putting that aside, the overall economics behind my solar system tells a far greater story.

If you’ve been following along, you’ll recall that my journey with installing a SolarCity system dates back to late 2014. My system consists of 69 panels at 255W each for a total of 17.6kW (more specs on the system can be found on my Solar Generation page).

Solar Pricing

Massachusetts Electricity prices having been rising at approximately 9.5% year-over-year since 2008. When I started with SolarCity, my electricity price was set at $0.1627 per kWh including delivery, supply and taxes. Prices have continued to climb as seen on this chart.

The state went through a fun over-inflation and correction period in 2015, but the current rate I’m paying for electric is $0.1906 kWh with the best supplier I can find.

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SolarCity sets their Power Purchase Agreement (PPA) prices based on your current electricity usage and comparable rates for the area that’s receiving their solar system. I had a number of options when I signed up including a variable rate, a fixed rate and an outright purchase but ended up opting for a 20-year fixed rate plan at $0.1420 kWh.

The way the PPA plan works is that I pay $0.1420 for every kWh generated by the SolarCity panels. The kWh they generate offsets the electricity I would consume. My savings initially worked out to be a difference of $0.0207 kWh or approximately 13% less. Recent savings have been in the $0.0486 kWh mark, or 25%, helped by the rise in electricity rates from utilities.

I incurred no installation or service costs when first setting up my SolarCity system, hence my entire cost for set up is based on the amount of power generated at $0.1420 kWh.

Affiliate: Get a solar cost estimate and find out how much solar can save for your home and business in your area.

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Solar Costs

In the last 22 months, I’ve generated a whopping 33.8 MWh (33,800 kWh) of power. My cost for that was $4,800. The SolarCity bill will fluctuate depending on the amount of daylight hour and weather conditions.

In that same period, my electric company reported that I used 23,800 kWh of power. Since the solar power offsets that amount, my actual power use for those 22 months was 57,600 kWh — I use a lot of power between my Tesla, pool, A/C and other electronics we have throughout the house.

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About 59% of the power I need for my house and my Tesla comes from my SolarCity system. I wanted a system that could cover 100% of my needs but National Grid (local electric company) blocked that.

For the 23,800 kWh I purchased from the electric company, I paid $4,595, or $0.1930 kWh (averaged over the 22 months). My total electric cost (money paid to electric company and to SolarCity) for the 22 months was $9,395 or about $427/month.

While I consume a lot of power, 59% of it is provided by the sun.

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Solar Savings

When I first signed up with SolarCity, they provided a $1,000 bonus if you registered for a solar system after buying a Tesla. That’s what I did and that’s how I received my $1,000 check form SolarCity.

They also had a referral program at the time which credited you with $250 for each person that signed up for a new system. I managed to get one referral and one more check from SolarCity.

All in all, I started 22 months ago with no money down and $1,250 in my pocket and a nice new solar system on my house. Not a bad start!

Had I purchased all my power from my electricity company at the average of $0.1930 kWh it would have cost me a total of $11,117. But thanks to SolarCity, my total cost was $9,395, so my savings was $1,722 over the 22 months. I expect savings and solar benefits will continue to grow over the next 20 years as the electric company continues to raise their rates.

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SolarCity doesn’t fully capture the amount of  savings that can be had through their system since the initial quote is based on current electricity rates, at the time of the quote. Rates climb over time especially in dense urban areas.

My savings thus far has been more than twice the amount SolarCity originally outlined! Now, if we add in the referral checks, my savings goes up to $2,972. The referrals don’t necessarily scale over time and may get updated so that needs to be factored into the equation.

Summary

For no money down and no risk, I’ve saved about $3,000 in just under 2 years (27% of what I would have paid) while generating green energy and taking load away from an already overloaded power grid.

When I did the math before signing up I knew the system would be a good deal and I’m very happy to see the results proving out. Since I’m on the power purchase program, I don’t have to worry about equipment depreciation, loss in solar cell effectiveness over time (I only pay for what they generate) or a whole slew of other things. By the time my plan is up, much better systems will be available.

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If you’re interested in exploring solar power for your house and have enjoyed my posts thus far, please consider using my referral link to get started. SolarCity will do a free analysis of your situation and let you know if a solar system may work for you: share.solarcity.com/teslaliving

May the Sun be with you!

"Rob's passion is technology and gadgets. An engineer by profession and an executive and founder at several high tech startups Rob has a unique view on technology and some strong opinions. When he's not writing about Tesla

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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