Stop cadence
Coffee, bathroom, food, and stretch stops matched to your party and pace.
Trust-First Route Layer
Sign in to save routes, stops, and receipt-based trip memory.
Choose the experience.
Then open the route.
Planets is not replacing Google Maps. It decides why the drive should exist, which stops matter, and how time, fatigue, parking, food, public context, and receipt memory should shape the route before Maps opens.
In a car-first country, distance often decides whether people actually connect, recover, finish errands, or waste the day. Planets treats the drive as an experience container, not just the gap between two pins.
Route decision
Dallas to Austin
ETA
3 hr 58 min
+28 min vs usual
Friction
Moderate
64/100 pressure
Stops
4 points
Waco, TX -> Temple, TX
Enforcement
Open data + Maps
Fixed/open-data context; live alerts in Maps
Route
Multi-stop ready
Drive mode
Review before driving
Sources
Estimate-backed
Plan a drive
Request, constraints, ETA, then Maps handoff.
More priorities
Public-data cautions
These are not Planets-owned judgments. They come from official/public datasets, route conditions, and Maps handoff context where available.
These are public-data and provider-context cautions, not safety guarantees. Avoid tries to route around them when practical; Warn keeps the route and surfaces the report.
Dallas to Austin
3.5 hr baseline
coffee, barbecue, clean stop cadence
Origin: Dallas, TXStops: Waco, TX -> Temple, TXDestination: Austin, TXAI request: Plan a low-friction trip with good coffee, clean bathroom stops, easy parking, photo context, and public-data cautions before I open Maps.
ETA
3 hr 58 min
Delay
+28 min
Parking
Medium
Cautions
Open data + Maps
After the drive: receipt review
Reviews require receipts. If this trip came from a saved route, each stop receipt can become both a place review and a route recommendation signal. If there was no route, it stays as a receipt-verified place review.
Route details, map preview, and source notes
Itinerary
Stops, totals, and handoff stay visible before driving.
1
Dallas, TX
Start · Leave window and first fuel/coffee decision
2
Waco, TX
Stop 1 · Reset stop
3
Temple, TX
Stop 2 · Food, scenic, or comfort stop
4
Austin, TX
Arrive · Parking and first move
SavePrivate first
TryOpen route
Check inHow was it?
Receipt reviewVisit proof
RecommendRoute signal
Route memory
Save the trip privately first. After the drive, ask how the route felt, attach receipts, then decide whether to share or recommend it.
AI route preview
Numbered stops, traffic layer, then handoff to Maps.
Visit Timing AI
Not a live headcount. This is a decision score from ETA, traffic, timing, parking, and app demand signals.
64
Pressure
Estimated timingProvider: client fallback
ETA now
3 hr 58 min
Delay vs usual
+28 min / 13%
Parking stress
Medium
Enforcement
Open data + Maps
Leave now if coffee and clean stops matter most. Wait 35 minutes if you want a calmer Austin arrival.
Enforcement awareness
Planets does not decide or label risky areas by itself. It only surfaces official/public datasets such as published speed-camera, red-light-camera, school-zone, or automated-enforcement records where cities publish them. Live police or speed-trap reports stay in the Maps handoff.
Evidence
Confidence: MediumETA is 13% above baseline
Austin arrival window overlaps dinner traffic
Waco stop keeps fatigue low
Known camera and automated-enforcement datasets exist in some cities; live enforcement alerts stay in Maps handoff.
ETA deltatraffic layerevent windowparking stressenforcement cautionestimated ETA deltatraffic layertime windowplanned stop cadenceenforcement open-data coverageenforcement-aware Maps handoff
Google Maps opens the multi-stop route. Apple Maps link opens the destination first; use these stop links if you want to add stops manually.
Photo context
Short detours only when the view or timing is worth the extra minutes.
Practical access
Parking, walk distance, and arrival friction are treated as first-class signals.
Comfort context
Public context and route conditions, without promising that any route is safe.
Car-first social routes
The long-term product is not only navigation.
It is a system that turns long distances into intentional experiences. Start with route packs, learn what stops people actually follow, then expand into social route memory, real-time navigation, and dating only when the data and trust layer are strong enough.
Car-first social life
In wide U.S. markets, the drive often decides whether people actually meet, linger, or give up.
Offline connection
Planets turns a route into a low-friction shared experience: stop, talk, walk, recover, or extend.
Future depth
Real-time navigation and dating can grow later from route outcomes, not from a generic map clone.
Now
AI route plan, stop cards, receipt loop, Maps handoff
Next
Route outcome learning and social route memory
Later
In-app navigation, dating layer, B2B pickup ETA
Receipt flywheel
The trip is also data supply.
The MVP does not need nationwide automation, in-app navigation, Android Auto, CarPlay, or OEM integration first. It needs proof that users accept an AI-planned route, open it in their maps app, follow the stops, and upload receipts after the trip.
1
Start
Leave window and route choice
2
Stop 1
Coffee, bathroom, quick stretch
3
Stop 2
Food or scenic detour
4
Arrive
Parking and first move