Metro Manila · Commuter Intelligence

Know before you leave.

Real-time crowdsourced transit data for Metro Manila's jeepneys, UV Express, buses, and tricycles. Built by and for Filipino commuters.

3M+
vehicles on Metro Manila roads daily
143 hrs
lost per commuter per year sitting in traffic
₱0
solutions covering barangay-level jeepney & tricycle routes in real time
Market gap — no incumbent

01 The problem

Information asymmetry is the real commute.

Metro Manila moves on 13 million daily commuter trips, mostly through informal transit — jeepneys, UV Express, tricycles, ferries. None of it has GPS. None of it has a public schedule. The data does not exist, and so neither does the planning.

01

No GPS on informal vehicles

Jeepneys, UV Express, and tricycles operate without telemetry. Even operators do not know where their own units are at any given minute.

02

Routes change without notice

Diversions, holiday schedules, weather rerouting, and last-trip cutoffs are passed by word of mouth at terminals — never to the rider standing one block away.

03

Crowd levels are invisible

You only learn a unit is full when it passes you. There is no signal for whether the next jeep in 30 seconds, 5 minutes, or 25 minutes will have space.

04

Government has no ground truth

MMDA, DOTr, and LGUs plan corridors with stale surveys and modeled estimates. Real ridership patterns at the barangay level are simply not measured.

Daily commuters in Metro Manila average 2 to 3 transfers per trip across haphazardly designed routes that have not been meaningfully restructured in decades. IBON Foundation, Metro Manila Transport Crisis (2024)

02 The solution

Community reports. Real intelligence.

San Sasakay turns every commuter into a sensor. One tap reports — Running, Limited, Not running, Crowded — corroborated against other riders on the same corridor. The result is the first live picture of how Metro Manila actually moves.

Step 01

Search your route

Type your jeep number, UV Express line, or destination. We map the corridors most Filipino commuters actually take.

Step 02

Tap to report

One tap. No typing. Running, limited trips, not running, crowded — that is the entire interaction.

Step 03

Reports get validated

Corroboration model — multiple reports on the same corridor within a window are weighted higher than single signals.

Step 04

Earn Sasakay Points

Validated reports earn points redeemable for GCash credit and mobile load. Effort pays the people who make the data real.

Built for the actual commute, not the dashboard.

San Sasakay is offline-first. Routes are cached on-device so the app works on the FX with one bar of signal, in MRT tunnels, and during outages. Reports queue and sync when you reconnect.

No typing, no GPS dependence, no battery hog. Lightweight Android build under 15 MB, designed for the phones Filipinos actually carry.

9:41 PM● ● ●
San Sasakay.
Live · EDSA corridor · 4 reports / 5 min
Jeep 22 — Cubao to Pateros
RunningLast report 2 min ago Half full
UV Express — Buendia / SM North
Limited tripsLast unit 14 min ago Packed
P2P Bus — Ortigas to Makati
Not runningCut off — 9:30 PM No data

03 The bigger picture

Data that moves policy.

The same reports that help one commuter get home become the first real-time dataset of informal transit in Metro Manila. Anonymized, aggregated, and licensed to the agencies who plan the city.

For MMDA & DOTr

Real-time corridor heatmaps

Live demand and frustration signals across EDSA, C5, Commonwealth and feeder roads — updated every minute, not every fiscal year.

For urban planners

Historical flow data

Time-of-day origin–destination patterns and modal split for jeepney, UV Express, bus, and tricycle — exportable for studies and route rationalization.

For commuters, always free

Core features never paywalled

Live status, route search, and reporting stay free forever. The people generating the data are not the customers being sold to.

Privacy by design

RA 10173 compliant from day one

Phone numbers hashed at signup. Location aggregated to 500 m grid cells. No individual trip is ever resold. Audited quarterly.

04Research & sources

Every claim, cited.

No vibes-based market sizing. Every number on this page traces back to a public, dated source you can read tonight.

#ClaimSourceYear
013 million+ vehicles travel Metro Manila roads on an average day.statista.com — average daily traffic Metro ManilaMMDA, via Statista2024
02143 hours per year lost per commuter sitting in Metro Manila traffic.topgear.com.ph — TomTom Traffic Index 2025TomTom Traffic Index, via TopGear PH2025
03Metro Manila is the most congested metropolitan area in Asia.gmanetwork.com — PH most congested in AsiaTomTom Traffic Index, via GMA News2025
0431 minutes 45 seconds per 10 km on average; 15.2 km/h during rush hour.gmanetwork.com — TomTom rush-hour figuresTomTom Traffic Index, via GMA News2025
0524.4 million population; ranked 5th globally for traffic congestion.asiantransportobservatory.org — Metro Manila transport sector profile (PDF)Asian Transport Observatory2024
06Jeepney trips fell 46% and UV Express 64% between 2019 and 2021.ibon.org — Metro Manila Transport Crisis (PDF)IBON Foundation, citing JICA2024
07Daily commuters average 2 to 3 transfers per trip across haphazardly designed routes.ibon.org — Metro Manila Transport Crisis (PDF)IBON Foundation2024
08MRT-3 carried 135.8 million riders in 2024, with daily ridership up 5.1% year-on-year.mb.com.ph — MRT-3 ridership hits 135.8M in 2024Manila Bulletin2025

05 Roadmap

Built in stages. Shipped honestly.

No “AI-powered everything” on day one. We ship the smallest thing that helps one commuter get home, then we widen the circle.

Phase 1 — MVP · Months 1–4

Get one commuter home, reliably.

  • Top 50 Metro Manila routes
  • One-tap reporting (Running / Limited / Not running / Crowded)
  • Live map & saved routes
  • OTP authentication, hashed numbers
  • Sasakay Points earning ledger
  • MMDA broadcast feed (read-only)
  • Android only, <15 MB build
Phase 2 — Growth · Months 5–8

Cover the modes nobody else maps.

  • Points redemption — GCash & mobile load
  • Incident reporting (accidents, floods, rerouting)
  • 200+ routes plus tricycle & ferry
  • Report validation & corroboration weighting
  • Offline mode with queued sync
  • Leaderboard & community moderation
  • B2G dashboard beta · morning push digest
Phase 3 — Scale · Months 9–14

Beyond Metro Manila.

  • iOS launch
  • Full B2G API for MMDA, DOTr, LGUs
  • Multi-hop trip planner
  • Cebu, Davao, and Iloilo coverage
  • ML-assisted ETAs from corroborated reports
  • SMS fallback for low-data areas
  • Operator dashboard · premium tier

06 From the founder

“Makakauwi ka ba?”

I wasn't trying to solve a transit problem. I was just trying to get home.

A few friends and I were out one night, and when it was time to leave, nobody knew what route to take. Which jeep goes where. Is the UV still running this late. We were just standing there, guessing — the way every Filipino commuter has guessed, every single day, for decades.

Then my friend, we will call her Ugah, turned to me and asked: “Makakauwi ka ba?”

That question stayed with me. Not because it was dramatic. Because it was so ordinary. Millions of people ask some version of that question every day — before they leave the office, before they step out of a mall, before they decide whether to spend ₱300 on Grab or take their chances on a jeep that may or may not come.

And the answer is always a guess.

There's no app for that. Not really. Google Maps doesn't know if Route 22 is running tonight. Waze is for people with cars. Nobody built anything for the commuter standing at the corner of Market! Market! at 10pm, just trying to get home.

That's what I'm building. Not for the commuter who can afford to book a ride every time. For Ugah. For everyone who's ever stood at a stop and just… waited and hoped.

W. Cayabyab
Founder, San Sasakay

07 Waitlist

Be first when we launch.

Early-access invites go out in waves before the public Android release. Waitlist members get double Sasakay Points for their first 30 days — no catch, just thanks for being early.