One trip. Two phones.
Watch the whole system work.
Aria needs to get to her 9am at ANU. Rowan is already heading her way. Scroll through both perspectives, then watch the platform that orchestrates them meet in the middle.
Aria's morning
A first-year at ANU, six taps from her shoes to her seat.
The phone knows. The campus is ready.
Aria opens SeatMate before her shoes are on. The app already knows her schedule, her usual route, and the three people who reliably head her way each Tuesday.
Zero forms. Zero friction. Just verified intent.
One email. One identity she already trusts.
A single .edu.au verification is all it takes. Her university says she's real, the platform never sees her password, and every other rider on the network is checked the same way.
No anonymous strangers. No catfish. No half-measures.
Her schedule maps her commute, not the other way around.
SeatMate ingests Aria's timetable directly from ANU. Three classes today — and the platform already knows when she needs to be where, with a 10-minute buffer for the walk.
Matching happens around her life, not on top of it.
Three seconds. One verified ride.
The matching engine scans verified students heading her way, weights by route overlap, departure time, ratings, and shared faculty. Rowan — same uni, same direction, 2.1 km away — is the obvious answer.
A confirmation chime later, they're on.
A live fuel-price split. Down to the cent.
Live NSW Fuel Check data prices the trip honestly. Aria's share is calculated from distance, fuel cost, vehicle efficiency — not from a city-tax surge engine that punishes students.
Cheaper than a bus. Safer than alone. Better than an Uber.
On campus. On time. One less car on the road.
Aria taps in at the lecture theatre while Rowan parks. Her carbon counter ticks up by 2.4 kg saved over a solo drive. Her wallet is $6.20 lighter than yesterday's rideshare.
Now multiply that by a 1.6 million-strong Australian student body.
Rowan's morning
ANU Engineering. He was driving anyway. Now his commute earns.
He posts tomorrow's commute in 8 seconds.
Rowan drives Belconnen → ANU four days a week. The night before, he opens SeatMate, taps Repeat last commute, and the platform shows him three seats it can fill.
The economic engine of his car wakes up.
His phone fills the seats while he ties his shoes.
Match requests roll in ranked by route fit, schedule overlap, and rating. The matching engine prioritises 98% fits and 95%+ fits stay queued in case the top accept declines.
Rowan never haggles. Rowan never markets. He just drives.
Three pickups. One optimised path. No detours that don't earn.
The route planner sequences his pickups by latitude on the commute corridor — Lyneham, then Acton, then campus. Detour: +3 minutes. Earn: $11.40.
Every street he was already driving is now revenue.
Aria boards. Verified handshake. Trip starts.
Rowan rolls up; Aria's phone pings green; both devices show the same handshake row over Supabase Realtime. No code-exchange theatre. No "is this your Uber?" anxiety.
The platform agrees with itself.
Settlement clears in 30 seconds, not 7 days.
Trip ends. Fuel cost, vehicle efficiency, and the three riders' shares settle automatically. $11.40 lands in Rowan's wallet before he's walked from the carpark.
Compounded over a semester: $3,850 he wasn't earning before.
A 4.9 average that actually means something.
Both sides rate. Bad actors lose seats on the network within two flags. The rating itself becomes a feature on the matching algorithm — high-rating drivers see better seat-fill rates within a week.
Trust is engineered, not advertised.
Two phones. One source of truth.
When the matching engine commits, both devices receive the same row over Supabase Realtime in <150 ms. Aria sees Rowan; Rowan sees Aria. Same trip ID. Same handshake. Same fare. No reconciliation, ever.
How the system thinks.
The two stories you just watched were a single trip routed through six services in under a second. Scroll to watch the packet itself.
The story compounds.
Every morning, this story plays out for a thousand more.
Riders save. Drivers earn. The campus loses one more car. The platform earns the moment two students align. If you want to ride, drive, build, or back this — start here.