You really can't come up with a single workable idea? I find that hard to comprehend. Maybe just invest in others for now, see where that takes you. If you're

You really can't come up with a single workable idea? I find that hard to comprehend. Maybe just invest in others for now, see where that takes you. If you're really desperate to do it yourselves though, you need to get out of whatever bubble you're in and start finding opportunity in more frequently-overlooked spaces. Here's an easy one. Seattle just started piloting dockless bike shares. The competitors are kinda unimpressive, and nobody has offered an electric-powered fleet yet. The minimum electric fleet size is only 10 IIRC. Seattle is super hilly, and electric bikes would be great, but they are harder to make and repair, and may be more likely to get stolen (at greater cost to replace as well). However, traffic is so freaking terrible here that that bikes can easily be the fastest means of transportation at certain times. There are lots of amazonians with disposable incomes who would prefer to avoid the bus to get home, but can't justify the inconvenience taking care of a bike and riding uphill. Figure out something cool to do with that. You'll have GPS data for all movements that you can apply ML to estimate demand and determine the most valuable places to leave them around town. Incentivize riders to drop them off in valuable spots with ride credit. Maybe partner with Postmates or DoorDash to make it a low-expense delivery vehicle for couriers who don't own cars. Seattle is just one of the first to allow this model. Other cities and college campuses (especially ones less dense than Seatle, that may not get much out of traditional bike shares) will follow soon. There is a ton of room to grow. And the sooner you start collecting that data and interpreting it, the bigger advantage you'll have due to being able to make ML-driven optimizations.