Real-time fuel intelligence to beat price hikes
Fuel price hikes are increasing transportation and living costs, pushing South African households into deeper debt.
PetrolPinch aggregates live fuel prices from stations and community reporters across South Africa. It uses AI to recommend optimal refueling times and locations while optimizing daily routes for lowest consumption. Households cut monthly fuel spend by R700+ and receive predictive alerts before major hikes hit.
Middle and lower-income South African households reliant on personal vehicles or public transport for daily commuting
Combines official SAPIA data with hyper-local crowdsourced verification and a proprietary SA fuel-price prediction model that factors in rand volatility, load-shedding, and regional levies.
supportive
Interactive map with real-time prices at every station within 50km
Forecasts price movements for next 72 hours using local economic signals
Calculates cheapest route considering fuel price, distance and traffic
Logs every fill-up and shows ZAR saved vs national average
Users submit verified prices and earn points toward premium
Visual breakdown of monthly transport budget performance
Analyzes driving style and suggests habits to improve km/l
Compares total door-to-door cost of driving vs bus/taxi
Push notifications when prices drop at your usual stations
Multiple profiles under one subscription for household use
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| phone | text | No |
| vehicle_make | text | Yes |
| home_lat | text | Yes |
| home_lng | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| station_id | text | No |
| price_95 | int | No |
| price_diesel | int | No |
| reported_by | uuid | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| distance_km | int | No |
| fuel_used_l | int | Yes |
| cost_zar | int | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| tier | text | No |
| paystack_ref | text | Yes |
| expires_at | timestamp | No |
Relationships:
/api/prices/nearbyReturns fuel prices within radius using lat/lng
/api/report-priceSubmit new station price observation
/api/routes/optimizeReturns fuel-optimized route with cost breakdown
/api/trips/logRecord a completed trip and fuel purchase
/api/dashboard/savingsReturns user's monthly savings metrics
/api/webhooks/paystackHandle Paystack subscription events
10 uses per week
No AI predictions
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 180 | 7% | $320 | $3,840 |
| Month 6 | 2,450 | 13% | $6,200 | $74,400 |
Live prices, AI predictions, and smart routes that save middle-income families R700+ every month.
Post in 15 high-engagement Facebook groups (e.g. South African Commuters, Gauteng Drivers) offering lifetime Pro to the first 75 users who join a WhatsApp beta community. Run R2,000 in hyper-local Facebook ads targeting 25-45yo car owners in Johannesburg and Pretoria. Attend two weekend taxi rank activations in Soweto and Cape Town with a simple demo station to collect phone numbers for direct onboarding.
Official weekly prices
No real-time or route optimization
Live community data + AI routing tailored to daily commuters
Massive user base and traffic data
No fuel price focus or SA-specific economics
Savings-first experience with predictive price modeling
Network effects from user-reported verified prices create the most accurate real-time dataset in South Africa, which continuously improves the AI prediction model.
Fuel prices rose over 35% in the past 24 months while wages stagnated and interest rates climbed, pushing middle and lower-income households into unsustainable transport debt.
Users may not consistently report prices
Gamification with points, badges and Pro subscription discounts
High map and routing API costs
Cache routes aggressively and use cheaper open routing backends where possible
Fuel price reporting regulations
Partner with existing price-tracking NGOs and clearly label community data
Success: At least 65% say they would pay R25/mo for the solution
Success: Average 18% reported fuel cost reduction and 35% conversion to paid
Success: 1,200 downloads and R2,500 MRR within 30 days
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