kdeorah

Bike-pooling and carpooling are taking off quite a bit in Asia (at the expense of Uber). Scooters and bikes are doing well in US and EU. There are more apps to be built for sure... It's the beginning, not the end.

How do you calculate ETAs? Do you use Google Maps?

1. You don’t have to pay Google :-) 2. Google packages the on-device navigation and places experience for ridesharing, while this repo is focused on the location tracking aspect and how that experience is managed in the cloud.

ah that's interesting. we've seen that sales people don't like being tracked, they like to perform. service teams on the other hand like stuff being automated and get more efficient. thanks for the insight though.

most unexpected i have seen is volunteers on election day visiting polling booths through the day.

@kishanht ridesharing is a relatable metaphor for any two sided network with moving supply on one side, being matched with dynamic demand on the other.

@Charles_tse thanks for going through the Github repos. this is indeed a generic on-demand platform kickstarter.

good question, main goal was to get the project up and running quickly. guess for the frontend there's less need for it. the backend project uses localtunnel to consume webhooks while testing locally. ngrok looks great!

Yes you could use MapTiler or Mapbox or a React component for any other map. Google is most popular and therefore added to sample.

Heroku is the easiest to get up and running with. PaaS over raw store/compute when you are getting started.

Smartphone is where the work app sits. Making the app location aware serves a diff need than vehicle connected telematics. The worlds converge a bit but tandem is more the norm than replacement.

Does Uber track the ride or the driver? App users are carrying out work and the business wants to track work. Asset track and telematics are product categories used in the industry where work is on the move. This app belongs in the same bucket.

We built this app to dogfood our location tracking platform. Places visited, commutes taken, walks to lunches, drives to meetings … really the timeline of movement from place to place. In the end, we had built a number of useful backend libraries in NodeJS and frontend libraries in NextJS. Sharing that out to re-use and re-purpose.