Snap a photo of your fridge and pantry to get personalized recipes using only what you have
TAM
$987M
Search Volume
8,500/mo
Reddit Mentions
1,100/mo
YoY Growth
+18%
12-month trend of search volume and Reddit mentions
40% of purchased food in the US goes to waste ($1,600/household/year). Home cooks stare into their fridge unable to figure out what to make from available ingredients.
A mobile app where users photograph their fridge, freezer, and pantry. Computer vision identifies ingredients, and an AI generates personalized recipes using only what's available -- accounting for dietary preferences, skill level, available time, and equipment.
The recipe apps market hit $6.68B in 2025, growing at 9.6% CAGR. The ingredient-based recipe segment is valued at ~$987M. Consumer demand is massive. Supercook, DishGen, ChefGPT, and SideChef all compete here. The AI photo-scanning angle is a genuine UX improvement, but monetization is the real challenge -- freemium conversion rates in food apps average just 2-4%.
Weakness: No AI -- relies on static recipe database; no photo scanning
Weakness: AI-generated recipes lack testing; no photo scanning
Weakness: Generic GPT wrapper; no computer vision
Weakness: Guided cooking focus; ingredient-based search is secondary
TikTok and Instagram Reels showing 'fridge-to-plate' transformations
Partnership with grocery delivery services (Instacart, DoorDash) for affiliate revenue
College campus ambassador program targeting students with tight budgets
SEO content targeting 'recipes with [ingredient]' long-tail keywords
Consumer food apps have notoriously low willingness to pay -- freemium conversion rates average 2-4%
AI-generated recipes carry food safety liability
Supercook, Allrecipes, and dozens of free alternatives make paid subscription a tough sell
Computer vision for pantry scanning is imperfect -- errors frustrate users
Viable with Execution
out of 10
Millennial and Gen Z home cooks, budget-conscious families, health-conscious meal planners, anti-food-waste advocates