Should I Build It Should I Build It
06 May 2025
Artificial Intelligence Cooking

Recipea - an app that creates ai-generated recipes based on photos of ...

...grocery items in your fridge and cabinets

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Swamp

The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.

Should You Build It?

Don't build it.

Your are here

The idea of an AI-powered recipe generator based on fridge contents has been explored by numerous products, placing it firmly in the "Swamp" category. This means there are several existing solutions, but none have truly captured the market's love, suggesting fundamental issues or unmet needs. With 23 similar products already identified, the competition is significant. Engagement, as indicated by an average of 3 comments per product, is low, further highlighting the challenges in this space. There is no net use or buy signal, which is not unusual for this type of app, but it means you will have to create your own demand and can't expect any organic traction. Given this landscape, simply replicating existing features is unlikely to yield success. To stand out, you'll need to identify what's missing in the current offerings and offer something substantially different and better. Think hard about the features or underserved niches that the current solutions miss.

Recommendations

  1. Begin by conducting thorough research to understand why existing AI recipe generators haven't achieved widespread adoption. Analyze user reviews, identify pain points, and pinpoint areas where these solutions fall short. This will help you avoid repeating past mistakes and uncover potential opportunities for differentiation. Also, look at the 'criticism_summary' sections of similar products from the 'similar_products_w_comments' section.
  2. Instead of targeting the general public, consider focusing on a specific niche or demographic group with unique dietary needs or preferences. For example, you could cater to individuals with specific allergies, dietary restrictions (e.g., keto, vegan), or cultural cuisines. Tailoring your app to a specific audience can help you gain traction and build a loyal user base.
  3. Explore the possibility of creating tools or features that can be integrated into existing recipe platforms or services. Rather than building a standalone app, you could offer an AI-powered ingredient recognition API or a recipe generation plugin that enhances the functionality of established platforms. This approach could provide a faster route to market and leverage existing user bases.
  4. Given the challenges in the AI recipe generation space, consider expanding your focus to address broader problems related to food waste reduction or meal planning. For instance, you could develop an AI-powered tool that helps users optimize their grocery shopping, track food expiration dates, and plan meals based on available ingredients. This wider scope could offer more compelling value proposition and attract a larger audience.
  5. Based on the comments, consider features like dietary restriction filters, grocery integration, options for sharing recipes, detailed nutrition information, and gamification elements to increase user engagement. The ability to add personal notes to generated recipes is also desired.
  6. Since several products are being criticized for accepting non-food, harmful items as ingredients, prioritize the accuracy of AI food identification. Implement robust safeguards to prevent the generation of recipes that include unsafe or inedible ingredients. This will be essential for building trust and ensuring user safety.
  7. Given that a few similar products were dinged for not offering free test runs or examples, provide clear examples of the app's functionality and the types of recipes it can generate. This will help potential users understand the value proposition and encourage them to try the app. Also, make the first few uses of the app free.

Questions

  1. Given the existing solutions in the market, what specific problem are you solving that others aren't, and how will you measure the success of your solution beyond downloads and active users?
  2. Considering the low engagement observed in similar products, how will you create a sticky user experience that keeps users coming back to your app regularly?
  3. How will you ensure the safety and accuracy of your AI-generated recipes, and what measures will you take to prevent the inclusion of unsafe or inedible ingredients?

Your are here

The idea of an AI-powered recipe generator based on fridge contents has been explored by numerous products, placing it firmly in the "Swamp" category. This means there are several existing solutions, but none have truly captured the market's love, suggesting fundamental issues or unmet needs. With 23 similar products already identified, the competition is significant. Engagement, as indicated by an average of 3 comments per product, is low, further highlighting the challenges in this space. There is no net use or buy signal, which is not unusual for this type of app, but it means you will have to create your own demand and can't expect any organic traction. Given this landscape, simply replicating existing features is unlikely to yield success. To stand out, you'll need to identify what's missing in the current offerings and offer something substantially different and better. Think hard about the features or underserved niches that the current solutions miss.

Recommendations

  1. Begin by conducting thorough research to understand why existing AI recipe generators haven't achieved widespread adoption. Analyze user reviews, identify pain points, and pinpoint areas where these solutions fall short. This will help you avoid repeating past mistakes and uncover potential opportunities for differentiation. Also, look at the 'criticism_summary' sections of similar products from the 'similar_products_w_comments' section.
  2. Instead of targeting the general public, consider focusing on a specific niche or demographic group with unique dietary needs or preferences. For example, you could cater to individuals with specific allergies, dietary restrictions (e.g., keto, vegan), or cultural cuisines. Tailoring your app to a specific audience can help you gain traction and build a loyal user base.
  3. Explore the possibility of creating tools or features that can be integrated into existing recipe platforms or services. Rather than building a standalone app, you could offer an AI-powered ingredient recognition API or a recipe generation plugin that enhances the functionality of established platforms. This approach could provide a faster route to market and leverage existing user bases.
  4. Given the challenges in the AI recipe generation space, consider expanding your focus to address broader problems related to food waste reduction or meal planning. For instance, you could develop an AI-powered tool that helps users optimize their grocery shopping, track food expiration dates, and plan meals based on available ingredients. This wider scope could offer more compelling value proposition and attract a larger audience.
  5. Based on the comments, consider features like dietary restriction filters, grocery integration, options for sharing recipes, detailed nutrition information, and gamification elements to increase user engagement. The ability to add personal notes to generated recipes is also desired.
  6. Since several products are being criticized for accepting non-food, harmful items as ingredients, prioritize the accuracy of AI food identification. Implement robust safeguards to prevent the generation of recipes that include unsafe or inedible ingredients. This will be essential for building trust and ensuring user safety.
  7. Given that a few similar products were dinged for not offering free test runs or examples, provide clear examples of the app's functionality and the types of recipes it can generate. This will help potential users understand the value proposition and encourage them to try the app. Also, make the first few uses of the app free.

Questions

  1. Given the existing solutions in the market, what specific problem are you solving that others aren't, and how will you measure the success of your solution beyond downloads and active users?
  2. Considering the low engagement observed in similar products, how will you create a sticky user experience that keeps users coming back to your app regularly?
  3. How will you ensure the safety and accuracy of your AI-generated recipes, and what measures will you take to prevent the inclusion of unsafe or inedible ingredients?

  • Confidence: High
    • Number of similar products: 23
  • Engagement: Low
    • Average number of comments: 3
  • Net use signal: 22.6%
    • Positive use signal: 23.9%
    • Negative use signal: 1.3%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 0.0%

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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