Sacramento Tesla parts dealer spent $40K and two years grafting a 2024 Model 3 dual-motor drivetrain, cameras, and working FSD (Supervised) into a 1966 Mustang shell.
Key Takeaways
The build uses a Model 3 battery, dual-motor setup (~400 hp, 471 lb-ft), 15-inch touchscreen, OTA updates, Autopilot, Sentry Mode, and FSD – likely the first non-Tesla vehicle running FSD.
Efficiency hits 258 Wh/mi, matching a stock Model 3 despite the Mustang’s worse aerodynamics.
Three sections of Model 3 floor and seats were grafted in; battery case was shortened to fit without changing exterior dimensions.
FSD functioning despite non-standard camera angles and mounting positions suggests Tesla’s vision-only neural net is more tolerant of sensor placement variance than expected.
Tesla has sought FSD licensing deals with automakers for years with no takers; this $40K DIY build undercuts Arc Motor Company’s $75K+ commercial Tesla-battery classic conversions.
Hacker News Comment Review
Commenters broadly agree the build is actually a Mustang body shell placed on a Tesla chassis, not Tesla hardware retrofitted into a Mustang frame – a meaningful distinction for anyone considering replication.
The FSD-on-misaligned-cameras result drew the most technical interest: one commenter with autonomous vehicle industry experience noted sensor recalibration for new vehicle geometries was historically very expensive, making Tesla’s vision-only tolerance notable.
A recurring side thread flagged the aerodynamic penalty of retro-electric builds and questioned the overall efficiency tradeoff, while others expressed demand for a small electric truck that still does not exist at retail.
Notable Comments
@public_void: Former AV engineer notes sensor suites at prior employer required extensive recalibration per new vehicle; FSD working here implies meaningful robustness advantage for vision-only systems.
@SoftTalker: Proposes a glider-style market separation – body from one vendor, EV drivetrain and battery from another – as a natural extension of what this build demonstrates.
