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NutriCare

AI diet plans from clinical data — in 30 seconds

Health & Fitness
Productivity
Artificial Intelligence
GitHub
Visit WebsiteSee on Product HuntGithub

Hunted byAndrea AngeloniAndrea Angeloni

NutriCare connects structured clinical data directly to AI. The nutritionist records skinfold measurements (7-point), anthropometric data, allergies, health conditions, dietary preferences and activity level — then one click sends all of it to AI.

Top comment

Hi Product Hunt! 👋 I'm Andrea, the solo developer behind NutriCare. I built this because I kept seeing nutritionists waste hours every week doing the same manual work — copying patient data into Word, reformatting diet plans, rewriting the same sections from scratch. Meanwhile, the AI models that could do this in seconds were sitting right there, completely disconnected from their clinical workflow. So I spent 18 months building the bridge. NutriCare takes the actual clinical data — skinfold measurements, anthropometrics, allergies, goals, dietary preferences — and sends it structured to whichever AI model the practitioner prefers (GPT-4o, Claude, Gemini, and 25+ more). The full weekly diet plan comes back in under 30 seconds, editable in-app, exportable as PDF or Word with the practice's own header. It runs entirely on Windows desktop. No cloud, no subscription lock-in, no patient data leaving the machine. GDPR by design. 30-day free trial, no credit card: https://github.com/angeloni92/nu... I'd love to hear from anyone working in nutrition or healthcare tech — what would make this more useful for your workflow? Happy to answer any questions below 👇

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About NutriCare on Product Hunt

AI diet plans from clinical data — in 30 seconds

NutriCare was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #67 on the daily leaderboard. NutriCare connects structured clinical data directly to AI. The nutritionist records skinfold measurements (7-point), anthropometric data, allergies, health conditions, dietary preferences and activity level — then one click sends all of it to AI.

NutriCare was featured in Health & Fitness (83.1k followers), Productivity (658.2k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 321.9k products, making this a competitive space to launch in.

Who hunted NutriCare?

NutriCare was hunted by Andrea Angeloni. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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