FoodFlix Mobile App
Personal Project
FoodFlix is a consumer mobile app that pairs movies, TV shows, and sports with food — whether ordering delivery, browsing local restaurants, or cooking a recipe at home. It began as a personal observation, grew into a graduate thesis, and became a funded, user-tested, iterative product.
How It Began
The Spark
The Opportunity
Two Industries, Three Problems
Streaming Churn
When a new season of a favorite show dropped, viewers would binge it and cancel. Gen Z and Millennials were savvy about how much they would spend — subscribing, watching what they wanted, then leaving. Churn and return was eroding platform revenue.
Choice Overload
The average person spends 110 hours per year scrolling through streaming services, struggling to find something worth watching. Rising subscription costs were driving cancellations, and the endless scroll had become a source of frustration, not delight.
Delivery Fee Squeeze
Food delivery platforms saw Pandemic-era profits gutted by app fees. A $39 Panda Express family meal carried a 49% markup on Uber Eats. Restaurant commission fees alone ran 15–30%. Platforms needed new ways to create value beyond price competition.
What the Industry Was Already Trying
- 01
Ad-Supported Tiers
Deloitte research found that watching ads in exchange for lower costs — or no cost — was the most popular strategy streaming platforms were pursuing. It was effectively a return to television's original model.
- 02
Delivery Expansion
McKinsey found that food delivery platforms were attempting to add value by expanding delivery to other goods such as alcohol, pharmaceuticals, and groceries — a race to become logistics platforms rather than food-specific services.
- 03
Platform Competition
McKinsey: 'These platforms will continue to fight one another. This battle will extend beyond restaurants, as platforms widen the scope of services.' And critically: 'The evolving food-delivery ecosystem requires, and will likely reward, creativity. One potential example: combining dining and television...'
Project Requirements
Alleviate Frustration
Reduce viewer exhaustion and frustration from endless-scroll decision fatigue across fragmented streaming services.
Show the Perfect Match
Use APIs to build a robust database that matches a viewing choice with a relevant food option — and vice versa.
Improve Revenue
Offer food service providers a new revenue channel after Pandemic-era delivery fees cut into profits. Offer streaming services a reason to retain subscribers.
Add Value to Platforms
Expand platform value in a direction Deloitte and McKinsey both identified as an opportunity: combining entertainment with food in a single, intentional experience.
Entertainment Industry Perspective
David Harris Katz
David felt there were too many binge shows with story arcs spanning full seasons, leading to viewer burnout and churn after the series ended. He also noted the irony of the 'free with ads' model: that was how television began.'
Adam Rackoff
Adam's view: 'You can't get everything on Netflix anymore, as other companies have created their own services. Netflix's original content is all over the map for quality. There's no monopoly service anymore, and it depends on personal taste.'
So close, and yet so far
Research — Survey
18 respondents of varying backgrounds and regions across the U.S. confirmed the behavioral link between watching and eating — and pointed to a clear unmet need.
What People Wished They Had
Food
Movies & Shows
Who We Were Designing For
John
Invites Maria over to watch The Godfather and wants to impress her with an authentic Italian meal straight from the movie.
- Wants food that matches the film's setting
- Not a confident cook — prefers delivery
- Motivated by wanting to make the evening special
Natasha
Catching up with college friends visiting from out of town. They love romantic comedies, cooking, and vegetarian meals.
- Group decision-making dynamic
- Has dietary preferences to consider
- Values the social ritual of choosing together
Alexandra
Loves relaxing after a busy work week with new recipes and a movie on Friday nights. She's been doing this for a while and seeks fresh ideas.
- Experienced home cook — wants recipes, not just delivery
- Looking for discovery, not just convenience
- Loyal to the ritual; wants variety within it
Get to the Result in the Fewest Steps — and Make It Fun
The Bubble-Drop Concept
Five Participants, Two Key Findings
What They Liked
What They Wanted
Iterated Prototype, Three Tasks
What Was Added
Results
Is There a Connection Between Personality and What People Watch — and Eat?
The API Architecture
Movies & Streaming
TMDB (The Movie Database) provides descriptions, imagery, and streaming availability — telling us which services carry each title and where to watch it.
Food & Location
Food pairings correlate to the geographic setting of the film, using GPS-based API calls to TripAdvisor to surface relevant nearby restaurants.
Personality & Prediction
The Personality DataBase (PDB) paired with machine learning enables stronger future suggestions based on a user's previous selections and personality indicators.
First Generation Interface
Final Interface
Sports Added
User Preferences and Personalization
Key Flows in Action
Pick for me flow demo
Sports flow demo
Date Night Flow Demo
Social media content
Findings and Future Plans
What I Learned
- Never assume!
- Users have different needs
- Rural areas for delivery are problematic
- Environment matters
- Recipes are desirable
- My instinct for cool product is right
Next Steps
- Trademarked and Patent Pending
- Crowdfunding launched to support development
- Pitch to potential backers
- 2026: App launch
- Add recipes
- Offer non-intrusive advertising to streamers and food services