Should I Build It Should I Build It
03 Jun 2025
Android Health & Fitness

build a weight tracking app so user can follow plan and esstimate ...

...calories deficit, with 3D model render of their body base on mesurement

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 the freemium weight tracking app market, which has a good number of competitors (n_matches=17), so differentiation will be key. This is an area where people are interested in tracking their progress, estimating calorie deficits, and visualizing their body changes. The core challenge in the "Freemium" category is that while people love using these tools, they often resist paying for them. Engagement is medium with similar products getting an average of 4 comments. Since you're in a freemium space, consider that you'll need to either find a niche of users willing to pay for premium features or create additional value that justifies a subscription. Given the existing competition, your 3D model rendering feature needs to be exceptionally accurate and visually appealing to stand out.

Recommendations

  1. Focus on identifying the user segments that derive the most value from the free version of your app. Understand their pain points and usage patterns to tailor premium features that directly address their needs. For example, users who meticulously track measurements and appreciate the visual feedback from the 3D model might be more inclined to pay for advanced analytics or personalized workout plans.
  2. Develop premium features that significantly enhance the user experience and offer tangible benefits beyond basic tracking. Consider features like AI-powered personalized meal plans based on dietary restrictions and preferences, advanced body composition analysis, or integration with wearable devices for real-time data tracking. Address concerns raised by users of similar products by ensuring high accuracy of body fat measurements and offering clear explanations of the underlying calculations.
  3. Explore the possibility of offering team-based subscriptions, particularly if your app can be used in gyms, fitness studios, or corporate wellness programs. These entities might be willing to pay for features like group progress tracking, personalized challenges, and aggregated data analysis. Selling to teams will reduce your marketing overhead, and increase retention rate.
  4. Consider offering personalized help or consulting services as a premium add-on. This could include one-on-one coaching sessions with certified nutritionists or fitness trainers, personalized workout plans, or detailed analysis of user data to identify areas for improvement. This approach will not only generate revenue but also foster a stronger connection with your users.
  5. Implement A/B testing with different pricing models and feature sets to determine the optimal combination for maximizing revenue and user satisfaction. Start with small groups of users and gradually roll out the most successful models to the broader user base. Make sure you factor in your costs when coming up with a pricing and margins strategy.
  6. Address accuracy concerns head-on. Since accuracy of body fat measurement is a key point of criticism in similar products (like FITYCAL), invest heavily in ensuring your 3D model rendering is as precise as possible. Be transparent about the technology you're using and its limitations, and provide users with options to validate their measurements using traditional methods.
  7. Based on user feedback from similar products, prioritize a clean and intuitive UI/UX design. NextLevel Fit's users have clearly expressed that better UI is desired. Make the app easy to navigate, visually appealing, and ensure that all features are easily accessible. Conduct user testing throughout the development process to identify and address any usability issues.
  8. Capitalize on the trend of AI-powered nutrition tracking, as seen in products like track-calories.com and CalorieAI. Integrate AI to simplify calorie tracking from photos of food or provide personalized meal suggestions based on user preferences and dietary restrictions. Ensure accuracy and provide transparent explanations of how the AI works to build trust with your users.

Questions

  1. Given the concerns about misleading nutritional information in similar apps like 'Intuitive nutrition information', how will you ensure the accuracy and transparency of the calorie and macronutrient data in your app, and how will you address potential misinformation about food processing or ingredients?
  2. Considering the mixed reactions to the accuracy of AI-based body assessments, how will you validate the accuracy of your 3D model renderings and body fat estimations, and what alternative methods will you offer users to verify their measurements?
  3. Many users are requesting additional platforms or features. How will you prioritize which features to build and which platform to port to first based on user demand, technical feasibility, and alignment with your overall business goals?

Your are here

You're entering the freemium weight tracking app market, which has a good number of competitors (n_matches=17), so differentiation will be key. This is an area where people are interested in tracking their progress, estimating calorie deficits, and visualizing their body changes. The core challenge in the "Freemium" category is that while people love using these tools, they often resist paying for them. Engagement is medium with similar products getting an average of 4 comments. Since you're in a freemium space, consider that you'll need to either find a niche of users willing to pay for premium features or create additional value that justifies a subscription. Given the existing competition, your 3D model rendering feature needs to be exceptionally accurate and visually appealing to stand out.

Recommendations

  1. Focus on identifying the user segments that derive the most value from the free version of your app. Understand their pain points and usage patterns to tailor premium features that directly address their needs. For example, users who meticulously track measurements and appreciate the visual feedback from the 3D model might be more inclined to pay for advanced analytics or personalized workout plans.
  2. Develop premium features that significantly enhance the user experience and offer tangible benefits beyond basic tracking. Consider features like AI-powered personalized meal plans based on dietary restrictions and preferences, advanced body composition analysis, or integration with wearable devices for real-time data tracking. Address concerns raised by users of similar products by ensuring high accuracy of body fat measurements and offering clear explanations of the underlying calculations.
  3. Explore the possibility of offering team-based subscriptions, particularly if your app can be used in gyms, fitness studios, or corporate wellness programs. These entities might be willing to pay for features like group progress tracking, personalized challenges, and aggregated data analysis. Selling to teams will reduce your marketing overhead, and increase retention rate.
  4. Consider offering personalized help or consulting services as a premium add-on. This could include one-on-one coaching sessions with certified nutritionists or fitness trainers, personalized workout plans, or detailed analysis of user data to identify areas for improvement. This approach will not only generate revenue but also foster a stronger connection with your users.
  5. Implement A/B testing with different pricing models and feature sets to determine the optimal combination for maximizing revenue and user satisfaction. Start with small groups of users and gradually roll out the most successful models to the broader user base. Make sure you factor in your costs when coming up with a pricing and margins strategy.
  6. Address accuracy concerns head-on. Since accuracy of body fat measurement is a key point of criticism in similar products (like FITYCAL), invest heavily in ensuring your 3D model rendering is as precise as possible. Be transparent about the technology you're using and its limitations, and provide users with options to validate their measurements using traditional methods.
  7. Based on user feedback from similar products, prioritize a clean and intuitive UI/UX design. NextLevel Fit's users have clearly expressed that better UI is desired. Make the app easy to navigate, visually appealing, and ensure that all features are easily accessible. Conduct user testing throughout the development process to identify and address any usability issues.
  8. Capitalize on the trend of AI-powered nutrition tracking, as seen in products like track-calories.com and CalorieAI. Integrate AI to simplify calorie tracking from photos of food or provide personalized meal suggestions based on user preferences and dietary restrictions. Ensure accuracy and provide transparent explanations of how the AI works to build trust with your users.

Questions

  1. Given the concerns about misleading nutritional information in similar apps like 'Intuitive nutrition information', how will you ensure the accuracy and transparency of the calorie and macronutrient data in your app, and how will you address potential misinformation about food processing or ingredients?
  2. Considering the mixed reactions to the accuracy of AI-based body assessments, how will you validate the accuracy of your 3D model renderings and body fat estimations, and what alternative methods will you offer users to verify their measurements?
  3. Many users are requesting additional platforms or features. How will you prioritize which features to build and which platform to port to first based on user demand, technical feasibility, and alignment with your overall business goals?

  • Confidence: High
    • Number of similar products: 17
  • Engagement: Medium
    • Average number of comments: 4
  • Net use signal: 7.7%
    • Positive use signal: 12.0%
    • Negative use signal: 4.2%
  • Net buy signal: -1.7%
    • Positive buy signal: 1.7%
    • Negative buy signal: 3.4%

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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