Goulash is a mobile-first meal planning and grocery shopping app built on Python/FastAPI + iOS/Android native stacks, launched in 2024 and growing 70% month-over-month. The engineering-heavy hiring mix (4 engineers, 1 marketer) reflects active backend work on meal planning, basket building, and retailer integration services—infrastructure built to connect users directly to grocery fulfillment. Their pain-point stack reveals the core problem they're solving: low online grocery adoption in their markets, combined with fragmented checkout and shopping workflows that frustrate users.
Goulash is a consumer mobile app that automates meal planning and grocery shopping using AI. Users receive personalized menu recommendations, optimized shopping lists, and one-tap checkout integrated with major grocery retailers across Czechia and Germany. The company has built community engagement through influencer partnerships and exclusive recipes from established chefs. The product operates at the intersection of meal planning (recipe curation, dietary preferences) and commerce (retailer integrations, checkout optimization). Currently a 2–10 person team based in Prague, hiring senior engineers and focusing on backend infrastructure to scale their retailer partnership network and commerce outcomes.
Backend: Python, FastAPI, Flask, Django, PostgreSQL. Mobile: iOS (Swift, SwiftUI) and Android (Kotlin, Jetpack Compose). All native mobile implementations without cross-platform frameworks.
Active projects: meal planning and basket-building backend services, retailer integration APIs, AI engine integration, Android app development, and an AI marketplace for grocery recommendations. Also executing FMCG partnership strategy with structured brand outreach.
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