Book autonomous eVTOL flights over photoreal San Francisco
INVO Ride is a full ride-hailing stack for autonomous eVTOLs, running on a photoreal 3D twin of San Francisco: hexagonal sky lanes, a self-separating fleet, building- and FAA-airspace-aware routing. Watch the live demo, no account needed.
Hey Product Hunt 👋
I'm Leo, and INVO Ride is my answer to a question I couldn't stop thinking about: when autonomous air taxis arrive, what does the Uber for them look like? I decided the software shouldn't wait for the aircraft.
So this is the full ride-hailing stack for autonomous eVTOLs, running today — real accounts, bookings, fleet management, pricing, battery/charging planning — with the flights themselves simulated over a photoreal 3D digital twin of San Francisco. Honest framing up front: no humans are flying anywhere (yet). Everything else is real software.
What's under the hood:
🛣️ A hexagonal sky-lane network — not a street grid in the sky. Hex routing means every junction turn is ≤120° and trips run ~1.15× the straight-line distance (a rectangular grid is up to 1.41×). Three stacked speed decks (100/200/250 mph) plus an emergency band.
🛡️ A self-separating autonomous fleet — every craft holds a guaranteed minimum separation, adaptive-cruise style. The map shows the live safety telemetry: craft aloft, minimum separation, and a conflict counter that stays at zero by construction.
🏙️ Building-aware routing — 1,000+ real SF buildings with real heights. A lane that would clip the 326 m Salesforce Tower climbs over it, in-lane.
✈️ Real FAA airspace — actual SFO Class B shelves from FAA data; the whole lane stack stays under the floor, and no-fly zones are baked out of the network at generation time.
⚡ Operational rules that match reality — vertical takeoff/landing only from spots clear of power lines (overflight is fine), automatic charging stops on long trips, water-aware landing logic.
🏆 One more thing: there's a FIFA World Cup beacon floating by the Golden Gate with the real Bay Area fixtures. Tap the layers control to explore everything else (airspace, helipads, chargers, the wire grid). No better timing to launch than the World Cup specially for a soccer player like me.
Try it without an account: ride.invostation.com/tour — an 80-second cinematic flythrough of the whole system. Then sign in and book a flight from the Golden Gate to downtown and watch your eVTOL fly it gate-to-gate.
I'd genuinely love feedback on two things: (1) does the sky-lane model feel believable to you, and (2) what would make you trust an autonomous aircraft enough to step in? I'll be here all day. 🚁
About INVO Ride on Product Hunt
“Book autonomous eVTOL flights over photoreal San Francisco”
INVO Ride launched on Product Hunt on June 11th, 2026 and earned 100 upvotes and 8 comments, placing #19 on the daily leaderboard. INVO Ride is a full ride-hailing stack for autonomous eVTOLs, running on a photoreal 3D twin of San Francisco: hexagonal sky lanes, a self-separating fleet, building- and FAA-airspace-aware routing. Watch the live demo, no account needed.
On the analytics side, INVO Ride competes within Transportation, Artificial Intelligence and Tech — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how INVO Ride performed against the three products that launched closest to it on the same day.
Who hunted INVO Ride?
INVO Ride was hunted by Leo Kayali. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of INVO Ride including community comment highlights and product details, visit the product overview.
Leo Kayali