Team up with nearby drivers to split fuel and cover shortages instantly.
Freelancers handling last-mile delivery are crippled by skyrocketing fuel costs and driver shortages that erode their profit margins in the gig economy.
DriverPoolr matches freelancers in the same area for collaborative deliveries, splitting fuel costs and loads to handle peak demands. Post or accept subtasks via chat, with smart matching by vehicle size and ratings. Increase earnings without solo risks or full hires.
Freelancers handling last-mile delivery in the gig economy
Real-time availability pings for hyper-local pooling, exclusive to gig last-mile.
friendly
Matches users by location, vehicle, ratings.
Post subtasks with fuel split offers.
Secure chat for coordination.
Auto-splits earnings via Stripe Connect.
Post-job reviews for trust.
Push notifications for nearby pools.
Dashboard of pooled vs solo income.
Shared shift views.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| location_lat | float | No |
| vehicle_size | text | No |
| rating | float | Yes |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| poster_id | uuid | No |
| fuel_split_pct | int | No |
| status | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| pool_id | uuid | No |
| user_id | uuid | No |
| payout_amount | float | Yes |
Relationships:
/api/pools/nearbyFind local pools
/api/poolsCreate pool
/api/pools/:id/joinJoin pool
/api/pools/:id/payoutSplit payments
/api/chats/:poolIdFetch pool chat
No chat
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 150 | 4% | $180 | $2,160 |
| Month 6 | 1,000 | 7% | $2,100 | $25,200 |
Match with locals to share loads and beat shortages.
Share in gig Discord servers and Facebook groups for DoorDash/Uber drivers, offering first-month free Pro for early adopters. Run $50 Reddit ads targeting 'delivery driver fuel costs'. Cold DM 20 high-engagement Reddit commenters.
Vehicle rentals
No instant pooling
Peer matching for tasks
Network effects from growing user density
Driver shortages peaking with e-comm surge
Gig TOS violations
Subtask framing, legal review
Trust issues in pooling
Strong ratings/verification
Success: 60% willing to try
Success: Positive feedback
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