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DeepSpace: Firefly set for smallsat industry’s second place trophy, Rocket Lab leads the pack
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In the race to a field dedicated smallsat launch vehicles, New Zealand startup Rocket Lab has already won first place, a fact that has been discussed several times in past Deep Space issues. After completing its first launch of 2019 on March 28th, Rocket Lab’s Electron rocket is ready for another mission as early as May 4th, a good sign for the company’s planned monthly launch cadence.
Despite Rocket Lab’s major success, there is plenty of room for additional competitors and/or complementary vehicles. Electron’s maximum payload hovers around ~225 kg (500 lb) to low Earth orbit (LEO), limiting its usefulness for any payloads that are larger than truly tiny satellites or in need of higher orbits. Also discussed on DeepSpace, there are 10+ serious startups with funding and hardware in work attempting to build said smallsat launch vehicles, ranging from the extremely tiny (Vector: 60 kg to LEO) to much larger rockets from companies like Relativity, ABL Space, and more. Firefly Space, however, is the startup that has arguably broken away from the pack in the last few months, firmly setting itself up to be second in line behind Rocket Lab.
Build, test, qualify
- Firefly’s major leaps forward came in December 2018 and then April 2019, both related to testing the completed upper stage of the company’s Alpha rocket.
- In December, the upper stage ignited for the first time. In April, the same upper stage successfully performed a mission-duration static fire that lasted a full 300 seconds (five minutes), the same length required for a rocket to reach orbit after separating from Alpha’s first stage.
- For any launch vehicle development program, the first successful mission-duration test fire of an integrated rocket stage is arguably one of the most important milestones, second only to the same hardware’s inaugural launch.
- Simultaneously, Firefly began integrated testing of the thrust section and Reaver engines that will be the basis of Alpha’s first stage. The rocket’s Lightning second stage engine has been tested extensively at this point in development, although the stage’s lone engine produces a maximum of ~70 kN (~16,000 lbf) of thrust.
- The booster’s four Reaver engines will each produce ~170 kN (55,000 lbf) of thrust, around three times as much as Lightning. Alpha’s second stage is critical, but its first stage is arguably far more complex.
- Despite the relative power differential, it’s still worth noting that Alpha’s entire first stage (736 kN/166,000 lbf) will be significantly less powerful than a single one of Falcon 9’s nine Merlin 1D engines (941 kN/212,000 lbf).
- Although Alpha is far smaller than rockets like Falcon 9 or Atlas V, it will nominally be capable of launching 1000 kg to an altitude of 200 km (LEO) or ~650 kg to a 500-km sun-synchronous orbit (SSO). This translates to around 4.2X the performance of Rocket Lab’s Electron at 2.5X the cost per launch ($15M vs $6M).
- Assuming no payload capacity is wasted, Alpha could thus be almost 50% cheaper than Electron when judged by cost per kilogram to orbit.
- Of course, this comparison ignores the fact that Firefly will have to far more heavily rely on booking co-passenger satellites to keep Alpha launch prices competitive with Electron.
- If exactly 1000kg or 630kg of cargo can’t be booked each launch, the expendable Alpha’s $15M launch cost will be distributed over less payload, raising costs for each customer. In other words, the competitive advantages of Alpha are almost entirely associated with its ability to launch payloads outside of Electron’s capabilities, as are its potential weaknesses.
Firefly Alpha’s upper stage qualification article (top) and a comparison of a variety of launch vehicles. (Teslarati)
The sweet spot
- In theory, Firefly Alpha’s could find itself in a relatively sweet spot, where the rocket’s launch costs are not so high that dedicated rideshare missions become intractable (i.e. Spaceflight’s SSO-A launch on Falcon 9) but its payload performance is still good enough to provide access to a huge swath of the space launch market.
- Firefly also has plans to develop a heavier launch vehicle based on Alpha, known as Beta. Conceptually equivalent to SpaceX’s Falcon Heavy, Beta would use three Alpha boosters and a significantly upgraded second stage and would be able to launch 4000 kg to LEO or 3000 kg to SSO.
- Regardless of Firefly’s grander aspirations, Alpha is poised to capitalize on the simple fact that it will be the second commercially viable smallsat launch vehicle to begin operations. Alpha’s first orbital launch attempt could occur as early as December 2019, although slips into early 2020 are to be expected.
- At that point, Rocket Lab’s Electron will be the only serious competition on the market. Relativity’s Terran and ABL Space’s RS-1 rockets plan to offer a competitive ~1250 kg to LEO or ~900 kg to SSO, but their launch debuts are tentatively scheduled no earlier than late 2020.
- If Alpha’s development continues smoothly, Firefly could easily have a solid 12-month head start over its similarly-sized competitors,
- Up next for Alpha is a similar campaign of tests focused on the first integrated booster, including tests fires and an eventual mission-duration qualification test.
Mission Updates
- SpaceX’s CRS-17 Cargo Dragon resupply mission has slipped an additional four days from April 30th to May 3rd (3:11 am EDT, 07:11 UTC) after the International Space Station (ISS) began suffering serious (but non-threatening) electrical issues. Additional launch delays could follow if the issue is not resolved in the next few days.
- The first operational Starlink launch remains firmly on track for NET mid-May. According to SpaceX, all Flight 1 satellites are already in Florida, while the FCC approved the company’s modified constellation license – permitting Starlink operations after launch – on April 26th.
- Due to CRS-17’s launch delays, the availability of SpaceX’s LC-40 pad will now likely be the main limiting factor for the Starlink-1 launch date.
- SpaceX’s second West Coast launch of 2019 – carrying Canada’s Radarsat Constellation – is now expected to occur no earlier than mid-June and will reuse Falcon 9 B1051.
- SpaceX’s launch of Spacecom’s Amos-17 spacecraft is now scheduled no earlier than July. Falcon Heavy Flight 3 is tentatively scheduled for launch as early as June 22 – all three boosters should be on site in Florida within the next week or two.
Photo of the Week:
(SpaceX)
The third Falcon Heavy center core – believed to be B1057 – was spotted eastbound in Arizona on April 16th. On April 26th, SpaceX confirmed that the booster completed its acceptance static fire test at the company’s McGregor, TX facilities, a sure sign that all of Falcon Heavy Flight 3’s major components should be in Florida within the next few weeks.
We’ll see you next week.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
