Need something small handled? Post the task, set a fair reward, and find someone nearby who can do it. Doro is built for notebooks, chargers, moving boxes and study help — the tasks that don't need a whole industry.
I left a spiral notebook in an envelope at the West Halls front desk. Could someone pick it up and drop it at the Pattee Library help desk? It's light and already labelled.
$5.00
MCMaya Chen
Sample task and a real Doro Match calculation · approximate demo locations
Small things, handled.
How it works
A notebook to the library. A charger from across campus. A Python error. Choose a place, a deadline and a reward — Doro suggests a fair range from the details.
Helpers nearby get a computed match: distance, time, preferences, effort-adjusted reward, skills and reliability. Fixed price or open to offers.
Message only inside the task, use a four-digit handoff code for deliveries, then confirm completion and leave a review. The reward is authorized before the handoff.
Why Doro
Maya, Alex, Jordan and Sam are sample personas.
Switch between them instantly in the demo.
The score comes from seven weighted, normalized signals. Helpers see why a task fits — distance, timing, preferences, reward for effort, skills, reliability and personal relevance. No random percentages.
Doro recommends a range from category, duration, travel, urgency and expenses, then hands the choice back. Open-to-offers tasks allow a counter-proposal without becoming a bidding war.
Messaging opens only after a helper is assigned. Delivery handoffs use a four-digit code, reports are one tap away, and no one's exact live location is broadcast.
A neutral reliability prior means a first-time helper can still rank well. Established helpers get a modest edge, not an unbeatable one — sample personas produce visibly different feeds.
Clear boundaries
Doro deliberately excludes work with licensing, safety or legal risk. This keeps the marketplace focused and makes trust easier to understand.
Permitted
×Not permitted
Need something done?
Open the demo as Maya, post a notebook delivery, then switch to Alex and complete the loop. Everything is local, seeded and ready.