Zygo
Subscription-first urban mobility — predictable driver earnings, reliable rider experience, and safety-scored infrastructure.
Subscription EconomicsReal-time DispatchSafety ScoringUrban MobilityDriver EconomicsPlatform Design
Context
Ride-hailing in price-sensitive markets is broken for both sides: drivers face unpredictable earnings, and riders face surge pricing and unreliable availability.
Zygo rethinks this with a subscription-first model — predictable economics for drivers, reliable affordable rides for users, and a safety-first infrastructure layer underneath.
Problem
- Existing ride-hailing platforms optimize for marketplace extraction, not participant economics.
- Drivers face unpredictable earnings and high platform fees.
- Riders in price-sensitive markets are priced out during peak demand.
- Safety scoring and driver reliability are afterthoughts, not infrastructure.
What I Built
- Subscription Economics Engine — modeling driver earnings predictability and rider plan optimization.
- Real-time Dispatch Algorithms — optimized for subscription utilization, not surge extraction.
- Safety Scoring Infrastructure — driver reliability scoring, trip safety monitoring, and incident tracking.
- Platform Economics Model — unit economics and sustainability modeling for urban markets.
Guardrails & Constraints
- No surge pricing — subscription model absorbs demand variance.
- Safety scoring is infrastructure, not a feature toggle.
- Unit economics must be viable for price-sensitive markets from day one.
Go-to-Market
- Target tier-2/tier-3 cities where ride-hailing is underserved.
- Driver acquisition through earnings predictability narrative.
- Rider acquisition through subscription affordability.
What's Next
- Multi-city expansion framework.
- Fleet management integration for commercial operators.
- Insurance and compliance automation for different regulatory environments.