Streamplate

A health tracking app with personalised food ordering.
Batch: 2021 Winter
Status: Unsuccessful

Streamplate

A health tracking app with personalised food ordering.
Batch: 2021 Winter
Status: Unsuccessful

Company

Personalised food ordering app with health tracking.

We’re building a personalised food ordering app with tailored health tracking.

Our app allows for pre-ordering, at-table ordering, split bills via Bluetooth, reservations, messaging, customisable health tracking and ways to earn money by creating events, curating menus/venues or serving meals from a home.

Through web-scraping, we’ve indexed over 1 million venues from around the world and use order-forwarding to submit orders to venues that aren’t connected to Streamplate with pre-existing services like UberEats and DoorDash. This means that on the app, we allow users to order from not just cafes, pubs and restaurants, but also supermarkets, corner stores and gas stations.

The idea is that when a user opens the app, they see what they want. Once our app has stabilised we’d like to consolidate our recommendation system to minimise the number of clicks a user has to make to “find” what they’re looking for.

Founders

N/a — I’ve deferred university which will always be around but the opportunity to wholeheartedly commit to a start-up becomes harder in time.

Progress

We’ve indexed 1 million venues, built the iOS app and are now completing a UI update as we wanted to ensure our product could scale before investing in designers and marketers. We’re about to reach our go-to-market stage.

I had the idea in 2016 when I was working in filmmaking as a writer/director. I realised the potential of a personalised food ordering app and decided to teach myself programming, enrol in Computer Engineering and Neuroscience at the University of Sydney and effectively work on the idea as much as possible since. I’ve been working full time on Streamplate since the start of 2020 having deferred the full year of university.

The biggest learning from developing Streamplate has been building for scalability once a product market fit is found. As we’re exploiting last-mover advantage, it’s been important to invest in the operation that’ll enable us to undercut the competition as much as possible from the moment we publicly launch. This is the idea of scalability in action — avoiding competition and looking to build a product that catapults ourselves far ahead of everyone else.

Idea

I think the borders that separate software applications today will dissolve in the future and become interwoven into one digital service that’s driven by hyper-personalisation.

This insight led me to think of building a universal recommendation system which could operate as the aforementioned backbone. However, to reach that, I realised I needed to work towards it — and so I thought about a service that was open to everyone and could effectively serve as a data funnel for this recommendation system.

With this in mind, I began researching and realised that while food ordering apps were popular, there was no clear market leader and they left a lot to be desired.

The vision is to become the last food ordering app, and then use this platform to build a universal recommendation system.

Streamplate’s food ordering app is a collection of services to support the broad spectrum of user types given everyone eats and drinks. The logic here is that to become the last food ordering app, we have to be able to support a range of interactions that people have with food/drink outlets. This means not just supporting different ways of ordering, but also showing as many venues as possible.

Our app allows users to pre-order, order from their table, split bills via Bluetooth, create a health tracking dashboard with widgets, reserve and message venues, earn money by curating venues/menus, creating events (eg. market stalls, fundraisers etc) and serving meals from a user’s home.

We also allow order-forwarding which means that when a user orders from a venue that isn’t connected to Streamplate, we forward the order onto a pre-existing service that is with that venue, eg. UberEats or DoorDash.

This also means we allow delivery without having to worry about the overhead of managing a fleet.

Our feature list highlights how Streamplate is an aggregation of a range of pre-existing services, allows users to monetise their eating/drinking experiences and our focus on web-scraping/automating, means we’re looking to be globally accessible from day 1.

As we’re looking to forward delivery orders this by-passes the typical competitor that would be the well-capitalised companies like UberEats, Deliveroo, DoorDash, GrubHub etc.

But, as we’re not relying on delivery as being part of our revenue stream, we see our primary competition being other platforms; namely Facebook, Google and Amazon. These platforms have the capital, reach and ability to similarly consolidate services.

This will realistically always be a threat. However, I think Streamplate’s goal of showing users what they want rather than interlacing that with ads, or other services (eg. embedding reservations in Google Maps) will mean that we have a philosophy to guide us away from the tactics and strategies that may be employed against us.

For general orders, we charge 5% which is to cover the banking fees.

For consumers, we charge $4.99/month for them to create events and receive unlimited orders/month. Additionally, consumers can curate venues/menus and create publicly accessible content eg. a Spotify playlist and receive a commission when other users order through it. We split our 5% transaction fee 50/50 with the curator.

Then, we also charge a 30% transaction fee for users the cater — this could be serving a meal from their home or being booked for a catering event etc.

This is a marketplace and we get around the chicken-and-egg problem with our health tracking dashboard and order-forwarding.

With our health tracking dashboard, users can select from a list of 30+ widgets to monitor their health, log their meals, track their nutrition and follow exercise plans. This means there’s a “single-player mode” available on our app upon launch.

The order-forwarding is in effect a “backward compatibility” feature to ensure ordering is immediately available from venues that we’ve web-scraped. It’s by initially embedding ourselves with pre-existing services that we plan to build up our “multiplayer mode” so users can order and interact with venues.

We’ve spoken to dozens of venues and they’ve asked to see an active userbase before committing to the app. With this in mind, the strategy is to magnetise the app with the health-tracking dashboard so venues come to us. This also mitigates the reliance on a sales-team to onboard venues which in turn significantly reduces the operational cost that has otherwise held back many competitors from growth.

Others

Copy text in images: Drag cursor over image-based assets (eg. JPG, PNG etc) and highlight text within an image and by using OCR, the text in the image can now be added to the user’s clipboard.

Rosebud: Patients with a low Glasgow Coma Scale score can be in a vegetative state for years, and their progress or receptiveness is manually recorded by a visiting physician. This momentary assessment misses the minute reactions the body has throughout the day to surrounding stimulus, and so with computer vision, this process can be highly automated and then leveraged to extrapolate tests to ‘awaken’ a patient.

Synthetic neural tissue: If I ever pursue neuro-trauma surgery this is what I’d like to work on as it’s effectively developing constructive neurosurgical techniques rather than relying on the methods that focus on ablation eg. tumours, hematomas/haemorrhages, vascular malformations etc.

Malteser sized computer mouse: Using the fingertips to move a mouse cursor rather than an entire mouse.

Modularised kitchens: Creating a set of modules that can be added together like Lego, to create automated kitchens. The business model would be users sharing IP of recipes which can be used by other kitchens. The focus is on domestic instead of commercial kitchens.

Firefly: Automated drones that fly over rooftops for last-mile delivery.

I think people are a lot more comfortable being with someone that’s consistently truthful even if that means they sometimes hear things they don’t like.

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