I built BarcodeSense using vibe coding—coding side‑by‑side with AI, focusing less on writing actual code and more on momentum, intuition, and rapid iteration. The idea came from real life: my dad is vegetarian, and I kept noticing how often packaged foods quietly include ingredients that don’t actually fit vegetarian diets. I wanted a simple way to scan products and immediately know what’s inside. From there, the concept expanded—help people understand what they’re eating and make better choices with a simple scan. With a quick upload or scan, BarcodeSense surfaces product information, suggests AI‑powered healthier alternatives, adapts recommendations based on mood and diet restrictions, checks dietary compatibility, highlights environmental impact with an eco score, and delivers original AI‑driven insights about what you’re actually putting into your body. The result is a clean, focused experience that helps you discover what’s in your food with a single scan—powered by AI, built from a personal problem, and designed to make better eating feel effortless. The first version is out now and marks the first step in iterating on the idea.
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