PlanEat AI
Building an AI-powered meal planning assistant that generates personalized recipes, shopping lists, and nutritional insights—shipped to production in 6 weeks.
App Screenshots Coming Soon
The Challenge
The founding team came to us with a vision: democratize healthy eating through AI. They had domain expertise in nutrition but needed a technical partner to bring their product to life—fast. They had 8 weeks of runway and needed to ship.
The Core Problem
Existing meal planning apps required hours of manual input. Users wanted intelligent suggestions based on their dietary preferences, what's in their fridge, and their health goals—without the friction.
Our Approach
We applied our standard playbook: diagnose, blueprint, construct, scale. But with a 6-week deadline, every decision had to be ruthlessly prioritized.
Week 1-2: Discovery & Design
- User interviews with 20 target customers
- Competitive analysis of 15 meal planning apps
- High-fidelity Figma prototypes for core flows
- Technical architecture decisions (Next.js + Supabase + OpenAI)
Week 3-5: Development Sprint
- Built AI recipe generation pipeline with GPT-4
- Implemented real-time meal plan customization
- Created automated shopping list generation
- Integrated nutritional analysis APIs
Week 6: Launch & Iterate
- Production deployment with monitoring
- Analytics setup (PostHog, Sentry)
- Beta user onboarding and feedback loops
- Rapid iterations based on user data
Tech Stack
The Result
PlanEat AI launched on schedule, gained 10,000 users in the first month, and helped the founders close their $1.2M pre-seed round.
Let's build
something real.
No more slide decks. No more "maybe next quarter".
Let's ship your MVP in weeks.