Crumb

The platform learns from each user's saved recipes, cooking history, and ratings to build a personalized understanding of their taste preferences and dietary patterns that improves the relevance of recipe recommendations over time.

The smart search capabilities go beyond keyword matching to understand cooking intentsearches like 'something impressive but not too difficult for a dinner party' or 'quick protein-heavy lunch that isn't chicken again' return contextually relevant results that reflect a practical understanding of how people actually think about deciding what to cook.

Ingredient-based search helps cooks make use of what they have rather than defaulting to familiar recipes when random pantry combinations could produce something new and satisfying.

Crumb's cooking mode provides step-by-step recipe guidance with hands-free timer functionality, automatic measurement conversion, and the ability to ask cooking questions mid-recipe without losing your place, creating a practical assistant that reduces the anxious checking and re-reading that makes cooking unfamiliar recipes stressful.

Recipe scaling adjusts all quantities for different serving sizes, ensuring that cooking for two or cooking for twelve both produce proportionally correct results.