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SpaceX Starship prototype days away from first Raptor static fire test

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SpaceX’s latest Starship appears to be just a few days away from becoming the first full-scale prototype to attempt a static fire test with a functional Raptor engine, potentially setting the rocket up for a hop test in the near future.

On April 26th, SpaceX teams successfully filled the fourth full-scale Starship prototype with ~1000 metric tons (~2.2 million lb) of liquid nitrogen, pressurized it to roughly 5 bar (70 psi), and exerted hundreds of tons of force on its “thrust puck” engine section with hydraulic rams. Every part of the test appears to have been completed without issue, making Starship SN4 the first to pass cryogenic proof testing and graduate to riskier tests.

Since then, SpaceX technicians and engineers have been carefully inspecting Starship and likely cleaning its cavernous propellant tanks, while also preparing a lone Raptor engine for installation. By all appearances, that engine installation milestone could occur anytime within the next 24 hours and based on public road closure schedules, the first static fire attempt could occur just a day (or less) later.

SpaceX’s latest Starship prototype could be just a few days away from its first Raptor static fire test. (LabPadre)

Capable of producing at least 200 metric tons (~450,000 lbf) of thrust, SpaceX CEO Elon Musk recently revealed that Starship SN4 will only have one Raptor engine installed. Instead, the first multi-engine static fire and flight tests are planned for its successor, Starship SN5, with SN4 apparently set to feature an asymmetric engine layout.

Starship SN4’s thrust structure and engine section are pictured here on April 12th, confirming that it’s nominally designed to host three engines. (NASASpaceflight – bocachicagal)

Designed for three engines in a triangle formation, Starship’s existing engine section and thrust structure (thrust puck) would need an inefficient one-off redesign or heavy modifications to allow a single Raptor engine to be installed directly in the center of the rocket. Unsurprisingly, SpaceX chose not to waste resources on a one-off addition to a serial prototype. Instead, if Starship survives static fire testing and the asymmetric stress that will create, the rocket may apparently attempt to launch and land with the same setup.

This would very likely result in Starship SN4 both lifting off and landing at an angle, effectively drifting its way off the launch mount and onto an adjacent landing pad.

Raptor performs a static fire test in McGregor, Texas. (SpaceX)
Starship SN4 could soon attempt to replicate Starhopper’s spectacular 150m hop. (SpaceX)

Before that potentially bizarre flight test and the static fire that must precede it, however, SN4 must also complete the first full-scale Starship wet dress rehearsal (WDR), referring to the process of fully fueling a rocket and performing a launch countdown without actually launching. It’s likely that SpaceX plans to roll Starship SN4’s WDR directly into a static fire test, meaning that the massive rocket could ignite a Raptor engine as early as Friday, May 1st.

Stay tuned for visual confirmation of Raptor engine installation on Starship SN4!

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk

Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab

Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.

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During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.

Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”

Tesla Semi’s official battery capacity leaked by California regulators

The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.

A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.


Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.

The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.

It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.

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Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.

This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.

Tesla Q2 2026 Earnings Results

  • Non-GAAP EPS – $0.33 reported vs. $0.53 expected
  • Revenues – $28.236 billion reported vs. $26.4 billion expected
  • Free Cash Flow- -$1.092B
  • Profit -$ 4.751B

Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.

Tesla shares closed today down just over 1 percent, trading at $374.01.

In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.

Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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Elon Musk

Tesla is about to make parking in busy lots less stressful than ever

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Tesla FSD 14.3 [Credit: TESLARATI)
Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.

Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:

Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.

Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.

Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.

The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.

Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.

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