Élelmiszer

Mit kapsz:
🟢 Egyszerű értékelés — zöld vagy piros jelzés, első pillantásra érthető
🔍 Részletes elemzés — adalékanyagok, cukor-, só- és zsírtartalom, feldolgozottsági szint
🇭🇺 Magyar fókusz — az összes nagyobb hazai márka és bolt terméke: Tesco, Spar, Auchan, Lidl és még sok más
💡 Jobb alternatívák — ha egy termék nem üt jól, ajánlunk helyette egészségesebbet
⚠️ Allergén figyelmeztetés — személyre szabott riasztás, ha olyan összetevőt találunk, amire figyelned kell

Value Proposition

Scan any barcode and instantly see whether a product is healthy or not — rated on a transparent, Hungary-relevant scale. Get plain-language explanations of what's in your food (additives, processing level, allergens, sugar/salt/fat) and personalized healthier-alternative recommendations. The first app built for Hungarian shopping habits — local brands, local labels, and the price points that matter here.

Target Customer

Primary: Health-conscious urban Hungarians (25–45) who shop at Tesco, Spar, Auchan, Lidl, Aldi, and online via Kifli.hu. They're curious about ingredients but don't have time to decode labels.
Secondary: Parents scanning for kid-safe products (allergens, E-number avoidance), and people with dietary restrictions (gluten-free, lactose-free, low-FODMAP).
Tertiary (B2B): Hungarian health-food brands, local producers, and retailers wanting to feature "better" alternatives.

Risk	Mitigation
Data accuracy & liability — Rating a product "bad" could invite legal pushback from manufacturers.	Use a transparent, open-source-like scoring rubric (based on Nutri-Score, NOVA ultra-processing, and E-number risk). Disclaimers: "informational, not medical advice." Consider a user-flagging system for errors.
Data sourcing gaps — Hungarian products are poorly represented in global databases like Open Food Facts.	Start with Open Food Facts + manual curation for top 500 most-scanned local products. Crowdsource label photos. Partner with Hungarian food-safety authority (Nébih) if possible.
Retailer pushback — Retailers may not want "bad" ratings on their shelves.	Neutral positioning ("we rate the product, not the store"). Offer retailers analytics dashboards as a value-add.
Low willingness to pay — Food scanning is a small habit.	Keep free tier generous enough to build habit; price Plus below Spotify Premium. Monetize non-payers via ads.

lead

Team Lead

Team management, task planning, delegation, and monitoring

Backend Engineer

Builds REST APIs (Node.js/Fastify or Python FastAPI), designs and manages PostgreSQL databases, integrates third-party APIs (Open Food Facts), implements deterministic rating algorithms (Nutri-Score, NOVA, E-number classification), and handles data seeding and curation.

Data Curator & Web Developer

Curates Hungarian food product data, researches local brands and products, seeds databases, and builds/updates the landing page website with TanStack Start (React + Vite + Tailwind).

Mobile Engineer

Builds React Native cross-platform mobile apps (iOS + Android). Handles barcode scanning integration (react-native-camera / ML Kit / ZXing), UI development for product display and rating visualization, in-app purchase integration for freemium tiers, and app store submission readiness.

Overview

Mission

Value Proposition

Target Customer

Revenue Model

KPIs

Key Risks & Mitigations

MVP Scope (Phase 1)

Tech Approach

Differentiation from Yuka / Open Food Facts

The team

Setup