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Tesla Model S hailed as fastest-selling 2nd hand electric car in the US

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The Tesla Model S has been dubbed as the fastest-selling all-electric car in the United States’ second-hand car market from January to July this year. The full-sized premium sedan was given the distinction by automotive research firm iSeeCars.com, which aggregates second-hand auto listings across the country.

For its recent study, the auto research firm analyzed more than 4 million 1-3-year-old cars that were sold from January to July 2018. The firm noted in a report that overall, late-model vehicles usually take an average of 46.4 days before they are sold. iSeeCars.com CEO Phong Ly pointed out that cars which take longer to sell on the second-hand market usually signify that supply exceeds demand, while vehicles that are sold quickly usually connote that supply is lower than demand.

“It’s important to know how long vehicles stay on dealer lots because slower-moving cars can present negotiation opportunities for consumers. Cars that remain on market for longer than average indicate that supply is higher than demand, which could mean the pricing is too high or that the car isn’t as well-liked as its competitors,” Ly noted.

Among the United States’ available all-electric vehicles, the Tesla Model S stands as the fastest-selling used car from January to July. The all-electric car, which is designed by the company to be a vehicle that exceeds fossil fuel-powered competitors, spent an average of 32.4 days on used car dealer lots before getting sold. The iSeeCars.com CEO notes that such findings are primarily due to the Model S’ dominance in the premium all-electric car segment.

“The Model S is currently the only all-electric luxury car available, and its demand outstrips supply leading to scarcity in the used-car marketplace. Those who purchase a new model have to wait at least a month for delivery while there is no wait time for a used version,” Ly noted.

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The Tesla Model S ranked as the second-fastest-selling used passenger car in the United States overall as well, directly behind the Toyota Prius C, an affordable hybrid vehicle that’s smaller than the full-sized Toyota Prius. The Prius C takes an average of 29.6 days before it is sold on second-hand dealer lots.

The findings of iSeeCars.com‘s study are in line with the results of another survey conducted by car-shopping platform Autolist.com last year. The results of Autolist.com‘s study concluded that used Tesla Model S sell 5% quicker than other luxury sedans from competing automakers such as the Audi A7, the Porsche Panamera, the BMW 6 Series, the Mercedes-Benz CLS, and even the Lexus LS 460. This was despite the average listing price of second-hand Model S being roughly 3% to 5% higher than comparable vehicles. 

Tesla workers welcome the Model S. [Credit: jurvetson/Flickr]

The number of the company’s electric cars on US roads is bound to increase, particularly since Tesla is now optimizing the production of the Model 3. With this, the second-hand market for the company’s electric cars would likely exhibit some growth. The impending rise in the number of Teslas on the road has been teased by Elon Musk in a letter to employees, where he noted that the company is “about to have the most amazing quarter in (its) history, building and delivering more than twice as many cars as (it) did last quarter.”

Considering that Tesla delivered a total of 40,740 vehicles and produced a total of 53,339 electric cars in Q2 2018, Elon Musk’s statement in his letter appears to be quite ambitious. That being said, Tesla board member Kimbal Musk noted during a recent segment on CNBC’s Closing Bell that this month would be pretty exciting for the company.

“This month is an exciting month for us. You know, it’s really gonna blow people’s minds how many Model 3s are gonna appear in America in just the next couple of weeks,” he said.

Watch Kimbal Musk’s discuss Elon Musk and the Model 3 in CNBC’s Closing Bell in the video below.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

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A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

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Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

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The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

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The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

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The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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