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SpaceX’s first dedicated Falcon 9 rideshare lines up dozens of smallsats

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Already set to include several dozen small satellites for companies and institutions around the world, SpaceX’s first self-managed Falcon 9 rideshare launch is just around the corner.

Scheduled to launch no earlier than (NET) January 14th, the mission – known by one customer as SpaceX Rideshare 3 (SXRS-3) and by SpaceX as Transporter-1 – will be the company’s third mission under the umbrella of the “Smallsat Program” it debuted in 2019. The first three or four missions came in the form of three Starlink rideshares and one possible commercial rideshare in June and August 2020, carrying a total of eight Earth imaging spacecraft into orbit for Planet and BlackSky alongside SAOCOM 1B and 173 of SpaceX’s own Starlink satellites.

Potentially costing just $1 million or less per 200-kilogram (440 lb) satellite ($5,000/kg), SpaceX’s smallsat launch pricing is by far the most competitive ever commercially offered, but the company has yet to make a major dent with only five spacecraft launched. However, that’s about to change – and rather dramatically so – just three or so weeks from now.

Exolaunch recently announced that it has a full 30 satellites manifested on SpaceX’s first dedicated Smallsat Program launch. (Exolaunch)

Back in June 2020, SpaceX revealed that it had already secured more than 100 smallsat launch contracts less than 12 months after opening its doors, turning what might otherwise be a rounding error into a source of substantial income – likely on the order of $50 million or more.

Six months later, the large ambitions of SpaceX’s Smallsat Program are becoming clear. Between Spaceflight Inc and Exolaunch alone, two third-party rideshare organizers, SpaceX’s first dedicated Smallsat Program mission is already scheduled to launch no less than 46 satellites – closing in on a record 63 satellites launched by SpaceX for Spaceflight in December 2018.

Known as the SXRS-3 mission to the company, Spaceflight says its first “Sherpa FX” spacecraft will launch on SpaceX’s Transporter-1 mission with at least 16 satellites and several hosted payloads for customers in the US, Switzerland, and Japan and will weigh around 385 kg (~850 lb) at liftoff.

Spaceflight’s non-propulsive Sherpa FX will debut on SXRS-3, deploying 16 satellites over the course of multiple hours.

Meanwhile, Exolaunch – a Germany-based startup with a rideshare organization purview similar to Spaceflight – says it will launch 30 customer spacecraft on Transporter-1. Nothing else is known about Exolaunch’s payloads but it’s safe to say that the company’s share of the mission will weigh at least as much as Spaceflight’s.

Nanoracks is another confirmed customer and will be including several satellites on Transporter-1.

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Ultimately, SpaceX’s Transporter-1 rideshare is expected to be the start of a series of dedicated rideshare missions that will continue for as long as demand remains and augment more frequent but payload-constrained Starlink rideshares. Stay tuned for updates as SpaceX nears Transporter-1’s January 14th launch date.

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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Tesla just made its headlights even better through a software update

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Credit: @jojje167 on X

Tesla just upgraded its headlights through a software update, making them even better without any physical or hardware upgrade.

Tesla’s latest software update is quietly improving nighttime driving for a small number of owners. Version 2026.38 includes a new capability called Dynamic Headlight Leveling.

The feature automatically adjusts the aim of the low beams in response to driving conditions and nearby traffic, with the goal of giving the driver more usable light on the road while reducing glare for oncoming vehicles and traffic ahead.

Unlike Tesla’s matrix high-beam system, which selectively dims individual LED segments to create shadows around other cars, Dynamic Headlight Leveling physically tilts the low-beam projectors. Internal motors respond to changes in vehicle pitch.

When the car accelerates hard, climbs a steep grade, or carries extra weight in the rear, the headlights can otherwise point higher than intended. The software counters that movement in real time so the beam stays aimed at the road surface rather than into the eyes of other drivers.

Early indications reveal the update is reaching a limited set of vehicles, including certain Model 3 and Cybertruck examples in the United States and the United Arab Emirates. The rollout does not appear tied to a single hardware revision, and Tesla has not published a broader schedule. It is simply a common waiting game until your car receives it.

The change arrives against a backdrop of wider complaints about headlight glare. Some earlier Model 3 and Model Y vehicles were the subject of an NHTSA recall related to excessive low-beam glare; the software adjustment offers a potential mitigation for cars equipped with the necessary leveling hardware. It does not replace adaptive high beams where those are already available, nor does it alter the basic low-beam pattern itself.

Instead, it keeps an existing beam pointed where it is most useful.

For drivers who have received the update, the system requires no new settings or user input. The headlights simply respond as road conditions and traffic change. As the feature reaches more vehicles, it adds another example of Tesla using over-the-air software to refine existing hardware rather than waiting for a new model year. Nighttime visibility and reduced glare for others are the practical results owners are expected to notice first.

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Tesla teases “Halloween Mode” update with Optimus rising from a graveyard

Tesla’s Halloween teaser hides a covered vehicle and an Optimus hand rising from the ground.

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Tesla has started teasing a Halloween software update for its vehicles, with  a short clip on X that reads, “Halloween is coming.” The clip opens on a glowing pumpkin before pulling back to the car’s center touchscreen, where the usual parked visualization has been replaced by a graveyard scene, and the vehicle draped with a white sheet so it reads as a cartoon ghost.

The second detail is a robotic hand clawing its way out of the dirt like a zombie, which looks to be the hand of Tesla’s latest Optimus V3 humanoid robot. While Tesla still has not formally shown Optimus Gen 3 walking around in service, renders pulled from Tesla’s Android app last month gave the clearest look yet, including far more refined hands that Tesla has said carry 22 degrees of freedom. The hand has been the hardest part of the program. Musk has called it the majority of the robot’s engineering difficulty, and Tesla’s patents describe a design driven by tendons with the actuators moved into the forearm.

Tesla Optimus V3 hand and arm details revealed in new patents

Optimus also has a Halloween track record. Last October the robot handed out candy in Times Square, and a costumed “zombie” Optimus shuffled around the Tesla Diner in Los Angeles on Halloween night.

On the software side, Tesla’s 2025 Holiday Update expanded Santa Mode with a Santa sleigh, snowmen, snow effects, and a festive lock chime, so it wouldn’t be too far fetched if we saw something similar but themed for a  Halloween Mode.

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Tesla says fixes on Full Self-Driving’s two biggest issues are on the way

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Tesla Full Self-Driving is set to receive improvements to address its two biggest issues, according to a company engineer.

Director of Engineering at Tesla AI, Phil Duan, revealed in a post on X that improvements to both pothole avoidance and navigation “are coming,’ something we have heard many times in the past. However, there are a few things that seem to hint that things might be different this time around.

Pothole avoidance, navigation, speed control, and left lane camping are some of the most prevalent and frequently mentioned shortcomings of the Full Self-Driving suite. These are a few of the biggest issues that have kept Tesla Full Self-Driving as a Supervised suite, meaning drivers must remain attentive during operation.

Pothole Avoidance

Pothole avoidance was first mentioned as an “Upcoming Improvement” with the Tesla Full Self-Driving v14.3 update back in early April of this year. It was listed alongside “Expand reasoning to all behaviors beyond destination handling.”

Tesla is fixing Full Self-Driving’s pothole problem

It’s been six months since we first saw pothole avoidance explicitly mentioned, and it has not moved beyond that and joined the main release notes yet.

Tesla has not shed any light on why pothole avoidance has been such an issue for it to solve, but it also has issues identifying large bumps much of the time, so its modeling of sudden changes in road conditions is likely pretty weak at this particular point. I’ve had more issues with large bumps than potholes, personally, but both are issues that need to be resolved.

It makes sense that things might be pretty close to being released to the public, as we are going on such an extensive period of time between it being mentioned and it actually being deployed.

Navigation

Navigation is likely the most painful part of using Full Self-Driving, as it routinely takes strange routes, has trouble with local rules (like Except Right Turn Stop Signs in Pennsylvania), and sometimes does not realize that maneuvers it is suggesting are against the law. Turning out of my neighborhood, you cannot turn left, yet my Model Y still suggests it roughly 70 percent of the time when I’m leaving.

However, Tesla might be close to a breakthrough on this. With the Summer Update, Tesla added “Preferred Routes” alongside “Automatic Navigation.”

Preferred Routes prioritized roads that the driver had actually taken before, instead of always defaulting to what the vehicle believes is the most efficient path. This has already solved many of my issues. Formerly, I would turn off the Online Routing setting, and that would eliminate most of my complaints with routing, but then you lose out later on the Live Traffic Visualization.

Tesla’s Navigation has improved tremendously thanks to the Preferred Routes release with the Summer Update, but it still could use some polishing, as it still suggests strange routes from time to time, and it also has a lot of issues getting out of a parking lot. I find that those truly confuse FSD sometimes.

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