I Built a SaaS for Nutritionists to Create AI-Powered Diets in Minutes

Hacker News

Hi everyone! I'm Victor, and I created NutriMeals AI to help a friend who is a nutritionist. He was spending hours creating personalized diet plans for his patients, and I wanted to help him streamline that process. That’s how NutriMeals AI was born, and I thought it could also benefit other nutritionists. NutriMeals AI lets nutritionists generate customized meal plans in minutes using AI. The system dynamically adjusts macronutrients based on each patient's needs. I used Next.js, Prisma, and integrated AI to make everything smooth and automatic. The AI even reads responses from questionnaires sent to patients to create accurate meal plans. I would love to hear your feedback and suggestions for improvement!

Visit product View on Hacker NewsSep 26, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, using · Missing: agents, macos, agent

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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