Investors
Think Airbnb,
but for delivering
heavy items.
The perfect couch is across town. Someone nearby has the truck and the muscle. Laborhutt brings them together.
Our vision: make getting a big item home as easy as buying it.
Build that future with usShopping went online.
The couch still needs a ride.
Secondhand shopping puts more furniture and other large items within reach. We see an opportunity to make local delivery part of that purchase.
- Estimated U.S. used-goods sales in 2026
- $246.7B
- Projected U.S. used-goods sales in 2030
- $307.7B
Roughly 75% of used-goods spending happens outside apparel, including furniture, electronics, home improvement, sporting goods, and auto.
These figures measure resale goods. The delivery opportunity within that market still needs to be sized.
A great find should come with a way home.
01 / Start with the item
The couch. The fridge. The dining table.
Connect a buyer who needs delivery with a local mover who can handle it.
02 / Build local supply
Put trucks and moving skills to work.
Our ambition is a marketplace where local capacity is easy to find and book.
03 / Meet demand at the source
Be there when someone buys.
The future we want: a delivery option alongside purchases at resale marketplaces and furniture stores.
Small moves can build a big business.
At an assumed average booking value of $120, here's what annual volume could look like.
| Annual bookings | Annual total booking value |
|---|---|
| 100,000 | $12M |
| 1 million | $120M |
| 10 million | $1.2B |
Illustrative scenarios based on a $120 average booking value. These figures represent total booking value, not Laborhutt revenue, and are not forecasts or current results. Actual results may differ materially.
137
Bookings a day per city, across 200 cities, would be about 10 million bookings a year.
Build it city by city.
Make it part of everyday shopping.
That's the scale of the ambition: a local delivery network people can turn to whenever something is too big to carry home.
Illustrative footprint using 365 days per year and even volume across cities. It assumes the customer demand, mover supply, and operational capacity to fulfill those bookings.