NutrientGaps: Micronutrient Deficiency Detector
AI analyzes your food photos and blood work to identify specific vitamin/mineral deficiencies and recommends personalized supplementation or dietary changes.
The Problem
Most people don't know which micronutrients they're actually lacking—generic multivitamins are a shot in the dark. Blood tests show deficiencies but don't explain *why* or connect to actual eating patterns. People waste money on supplements they don't need while remaining deficient in others.
Target Audience
Health-conscious individuals (25-55), fitness enthusiasts tracking nutrition, people with chronic fatigue/brain fog, vegans/vegetarians managing dietary restrictions, biohackers optimizing performance.
Why Now?
AI food recognition has matured (Claude Vision), direct-to-consumer lab testing is normalized post-COVID, and health data APIs are opening up. People are spending aggressively on supplements but with no data backing.
What's Missing
Existing nutrition apps focus on macros/calories, not micronutrient adequacy. Blood work results are siloed from diet tracking. No tool explains the *relationship* between what you eat and your specific lab deficiencies.
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