I’m developing an app/website that analyzes meal nutrition without ...

...requiring deep scientific knowledge. It’s based on expert-reviewed data and verified by the Ministry of Health, using the ingredients in each dish. The system tailors analysis to the user's health status—such as illness or malnutrition—and dietary needs, including allergies. It helps track daily nutritional intake and alerts users when certain nutrients exceed safe levels.

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Freemium

People love using similar products but resist paying. You’ll need to either find who will pay or create additional value that’s worth paying for.

Should You Build It?

Build but think about differentiation and monetization.


Your are here

You're entering a crowded space with your nutrition analysis app, as evidenced by the high number of similar products (n_matches = 18). The good news is that there's engagement (avg n_comments = 7), suggesting user interest in this area. The challenge, however, is that this idea category, "Freemium," indicates people often resist paying for these types of tools. You'll need to carefully consider how to offer a valuable free version while creating compelling premium features that users are willing to pay for. Given the competition, differentiation is key, and a strong monetization strategy is crucial for long-term success. Focus on how your expert-reviewed data, Ministry of Health verification, and personalized health status tailoring set you apart.

Recommendations

  1. First, deeply understand your target user segments and identify which users derive the most value from the free version of your app. Focus on those who are already actively tracking their nutrition due to health conditions or specific dietary needs. This will inform your strategy for premium features.
  2. Next, create premium features that cater specifically to those high-value users. Given the criticism around accuracy for complex dishes like soups and salads found in similar products like 'Pretzel: Food Diary', consider focusing on enhanced analysis for these types of meals in your premium offering. Also, think about manual adjustments as highlighted by MealByMeal, making the app more accurate.
  3. Explore charging teams, such as corporate wellness programs or healthcare providers, rather than individual users. This aligns with the freemium model by offering individual use for free, while capturing value from organizations seeking comprehensive nutrition solutions for their employees or patients.
  4. Consider offering personalized help or consulting services as a premium add-on. This could include one-on-one nutritional coaching, customized meal planning, or expert guidance on managing specific health conditions through diet, addressing concerns raised by 'Intuitive nutrition information' regarding oversimplified data.
  5. Before a full-scale launch, test different pricing approaches and premium feature bundles with small groups of users. Gather feedback on perceived value and willingness to pay to optimize your monetization strategy. Pay close attention to the details of paid plans, as users will want to know these as identified with Pretzel: Food Diary.
  6. Given concerns about calorie counting potentially triggering eating disorders, clearly communicate the app's focus on overall nutritional balance and healthy eating habits, rather than solely focusing on calorie restriction. Offer resources and support for users who may be at risk of developing disordered eating behaviors.
  7. Address the issue of hidden calories and cooking variations raised by SnapFood by implementing a more sophisticated AI algorithm that accounts for these factors. Allow users to manually adjust macro calculations to improve accuracy and build trust in the app's analysis.
  8. Offer integrations with wearables and other health apps to provide a more seamless and comprehensive user experience, as suggested by SnapFood. This could include syncing data from fitness trackers, sleep monitors, and other health platforms to provide a holistic view of the user's health and nutrition.

Questions

  1. Given the concerns raised about misleading nutritional information, how will you ensure the accuracy and transparency of your data, especially regarding sugars, carbohydrates, and food processing levels?
  2. How will you differentiate your app from existing nutrition trackers, particularly those that already offer AI-powered meal logging and barcode scanning, to provide unique value to users?
  3. Considering the sensitivity around calorie counting and potential for triggering eating disorders, how will you design your app to promote healthy eating habits and a positive relationship with food?

Your are here

You're entering a crowded space with your nutrition analysis app, as evidenced by the high number of similar products (n_matches = 18). The good news is that there's engagement (avg n_comments = 7), suggesting user interest in this area. The challenge, however, is that this idea category, "Freemium," indicates people often resist paying for these types of tools. You'll need to carefully consider how to offer a valuable free version while creating compelling premium features that users are willing to pay for. Given the competition, differentiation is key, and a strong monetization strategy is crucial for long-term success. Focus on how your expert-reviewed data, Ministry of Health verification, and personalized health status tailoring set you apart.

Recommendations

  1. First, deeply understand your target user segments and identify which users derive the most value from the free version of your app. Focus on those who are already actively tracking their nutrition due to health conditions or specific dietary needs. This will inform your strategy for premium features.
  2. Next, create premium features that cater specifically to those high-value users. Given the criticism around accuracy for complex dishes like soups and salads found in similar products like 'Pretzel: Food Diary', consider focusing on enhanced analysis for these types of meals in your premium offering. Also, think about manual adjustments as highlighted by MealByMeal, making the app more accurate.
  3. Explore charging teams, such as corporate wellness programs or healthcare providers, rather than individual users. This aligns with the freemium model by offering individual use for free, while capturing value from organizations seeking comprehensive nutrition solutions for their employees or patients.
  4. Consider offering personalized help or consulting services as a premium add-on. This could include one-on-one nutritional coaching, customized meal planning, or expert guidance on managing specific health conditions through diet, addressing concerns raised by 'Intuitive nutrition information' regarding oversimplified data.
  5. Before a full-scale launch, test different pricing approaches and premium feature bundles with small groups of users. Gather feedback on perceived value and willingness to pay to optimize your monetization strategy. Pay close attention to the details of paid plans, as users will want to know these as identified with Pretzel: Food Diary.
  6. Given concerns about calorie counting potentially triggering eating disorders, clearly communicate the app's focus on overall nutritional balance and healthy eating habits, rather than solely focusing on calorie restriction. Offer resources and support for users who may be at risk of developing disordered eating behaviors.
  7. Address the issue of hidden calories and cooking variations raised by SnapFood by implementing a more sophisticated AI algorithm that accounts for these factors. Allow users to manually adjust macro calculations to improve accuracy and build trust in the app's analysis.
  8. Offer integrations with wearables and other health apps to provide a more seamless and comprehensive user experience, as suggested by SnapFood. This could include syncing data from fitness trackers, sleep monitors, and other health platforms to provide a holistic view of the user's health and nutrition.

Questions

  1. Given the concerns raised about misleading nutritional information, how will you ensure the accuracy and transparency of your data, especially regarding sugars, carbohydrates, and food processing levels?
  2. How will you differentiate your app from existing nutrition trackers, particularly those that already offer AI-powered meal logging and barcode scanning, to provide unique value to users?
  3. Considering the sensitivity around calorie counting and potential for triggering eating disorders, how will you design your app to promote healthy eating habits and a positive relationship with food?

  • Confidence: High
    • Number of similar products: 18
  • Engagement: Medium
    • Average number of comments: 7
  • Net use signal: 18.4%
    • Positive use signal: 22.2%
    • Negative use signal: 3.8%
  • Net buy signal: -0.6%
    • Positive buy signal: 2.6%
    • Negative buy signal: 3.1%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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Pretzel: Food Diary - Food tracker app with weekly AI analysis and trends

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With Pretzel you can understand and improve your eating habits without the hassle of calorie counting or food weighing. Just snap a picture and describe your meal. Receive personalized nutricion insights and diet analysis based on your logs, powered by GPT-4.

Users express excitement about the Pretzel: Food Diary app launch on Product Hunt, praising its image recognition AI. A key question revolves around the app's accuracy, particularly for items like soups and salads. There's also interest in understanding the details of the paid plans. Commenters acknowledge the general challenges of calorie-tracking apps, while one user humorously shares their love for pretzel dogs.

A potential accuracy issue has been raised concerning the app's ability to precisely analyze soups and salads. This suggests a limitation in handling diverse food textures and compositions, which could affect user confidence in the app's nutritional information for these types of meals.


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MealByMeal - Easy AI powered calorie and macro tracking over text

MealByMeal is a subscription-based meal tracker that helps you count calories and macros over text messages. There's no app – just text what you eat and everything is logged for you. MealByMeal is the easiest way to track your food intake! Try it today!

MealByMeal's Product Hunt launch received overwhelmingly positive feedback, with users praising its easy meal tracking, simplicity, and innovative text-based approach. Many see it as a game-changer and appreciate its potential for sustainable, hassle-free food tracking, especially compared to traditional apps like MyFitnessPal. Several users highlighted the ease of use and how it solves the friction problem in meal tracking. Suggestions included features like meal planning, image recognition, manual adjustments, and expanded country options. Some users expressed concern about calorie counting triggering eating disorders and the daily energy needed.

Several users expressed concerns about the app's availability outside the US, particularly in the EU and the Philippines due to phone number registration issues. Many requested more customization options, including manual input/output adjustments, meal planning, and support for custom foods and diverse measurements. Accuracy compared to alternatives like MyFitnessPal and ChatGPT was questioned. Concerns were raised about the initial energy/complexity being too high and the potential for reinforcing dangerous eating disorder behaviors associated with calorie counting. Differentiation from existing QR code tracking apps was also requested, with users needing more time to assess long-term performance.


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Hey everyone, I've been building this nutrition tracker and calorie counter recently, after being frustrated by existing products for ages. I built a similar app 8 years ago [1], but came back to this problem again since there are still no good solutions here. Lmk your thoughts and improvement ideas :)[1] https://news.ycombinator.com/item?id=10077618

Users highlighted concerns about misleading nutritional information, particularly regarding sugars and food processing. They suggested improvements like adding fiber and net carb data, detailed food processing information, and consistent calorie counts. Some users questioned the need for the app to determine food processing levels and sought a rule of thumb for healthy eating. There were mixed opinions on the user experience, with some praising the simplicity and others wanting more detailed integration. Comments also touched on the credibility of organic certifications, the processing of oat milk, and the effectiveness of existing nutrition trackers like MacroFactor and Cronometer.

Users criticized the product for misleading nutritional information, particularly regarding sugars and carbohydrates, and the lack of fiber content. There were concerns about the oversimplification of data, the need for better quantification, and transparency in labeling. The honor system for nutrition labels and the effects of processed sugars were also questioned. Criticisms extended to the user experience, such as the need for clarity in meal splitting and food weight, and the product's limited focus on macros. Additionally, there were mentions of GMOs, the high cost of tracking farm chemicals, and comparisons to similar services like Cronometer.


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SnapFood's Product Hunt launch received positive feedback for its AI-powered meal logging, which users found helpful for tracking eating habits and promoting healthier choices. The effortless tracking and potential for AI to suggest improvements were highlighted. Suggestions included wearables integration. Concerns were raised about hidden calories and a broken link, however, users generally felt the AI assistance was powerful and the cloud-based meal logging was smart, making it a great tool for serious dieters.

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Request for Apple Watch support

Lacks Apple Watch support


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