Predict and hedge fuel costs to protect your gig delivery margins.
Freelancers handling last-mile delivery are crippled by skyrocketing fuel costs and driver shortages that erode their profit margins in the gig economy.
MileHedge forecasts daily fuel expenses using market data and your mileage, alerting to buy-low opportunities and negotiating bulk discounts via partnerships. Track expenses against gigs for tax-ready reports, stabilizing profits amid volatility. No more margin erosion from unpredictable gas prices.
Freelancers handling last-mile delivery in the gig economy
Gig-mileage linked predictions with station discount aggregator, not just trackers.
supportive
AI forecasts local prices 7 days ahead.
Mileage and receipt scanner.
Cheapest stations + promo aggregator.
Net margins after fuel per job.
Exportable mileage logs.
Group discount negotiations.
What-if fuel price changes.
Push expenses to Quickbooks.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| daily_miles | float | No |
| vehicle_mpg | float | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| miles_driven | float | No |
| fuel_cost | float | No |
| date | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| predicted_price | float | No |
| forecast_date | timestamp | No |
Relationships:
/api/predictionsFetch forecasts
/api/logsLog expense
/api/discounts/nearbyCheapest stations
/api/reports/:yearTax exports
/api/profitsMargin dashboard
No reports
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 250 | 2.5% | $187.5 | $2,250 |
| Month 6 | 1,500 | 6% | $2,700 | $32,400 |
Forecast, track, save – keep your delivery profits safe.
Email list from gig forums, offer free Pro for logging 1 week data. Post value threads on Reddit with teaser tool. Partner with 1 gas station app for cross-promo to drivers.
Auto-mileage
No predictions/discounts
Fuel hedging focus
Prices
No gig integration
Personalized forecasts
Data moat from aggregated mileage patterns
Gas volatility + IRS mileage deduction changes
API costs for prices
Cache heavily
Prediction accuracy
Hybrid ML/historical
Success: 200 responses
Success: 500 organic visits
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