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NutraLens is an AI-powered food scanner for iPhone. Point your camera at any ingredient list or barcode and instantly see what's safe, what's questionable, and what to avoid. Set up family profiles with specific allergens, diets, and health goals to get personalized safety scores for every product. Works on food, drinks, supplements, and even skincare. All scanning happens on-device for speed and privacy — AI analysis cross-references thousands of health studies. Free to use with 5 scans/day.
NutraLensScan any food label. Know what you're really eating.
Marek Podhorskyleft a comment
Hey Product Hunt! 👋 I'm Marek, the maker of NutraLens. I built this because I was tired of standing in grocery aisles, squinting at ingredient lists and googling things like "is carrageenan bad for you?" one ingredient at a time. I figured there had to be a faster way. NutraLens lets you point your iPhone camera at any food label and instantly get an AI-powered breakdown of every ingredient —...
NutraLensScan any food label. Know what you're really eating.
Marek Podhorskyleft a comment
Ok this is one of those products that sounds funny at first but is actually genuinely useful. Gut health is one of the most underrated health indicators and most people have no idea what their patterns even look like. Smart move building it in Notion — zero friction to get started since so many people already live there. Did you find that the 'fun' branding actually helped with adoption? I feel...
Notion PooTrackerTrack bathroom habits and analyze data in Notion
Marek Podhorskyleft a comment
The preventive health angle is really compelling — most health apps focus on tracking what's already happening, but helping people catch risks early is where the real value is. I love the idea of making personalized medical insights accessible to everyone, not just those who can afford regular specialist visits. Quick question: how do users typically react when the app flags a potential risk?...
HealsensDiscover your health risks, get insights for longevity
Marek Podhorskyleft a comment
Really interesting approach to making skin health monitoring accessible. The AI-powered analysis from just a photo is impressive — I'm curious how you handle the accuracy challenge, especially across different skin tones and lighting conditions? I'm building something similar in the food space (scanning ingredient lists for allergens and health risks) and the trust/accuracy balance is one of...
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