17 May 2025
E-Commerce

Building a consumer-facing app to verify shops with reliable food ...

...sources

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

You're entering a space where similar ideas haven't quite taken off, putting your concept in the 'Swamp' category. This means there are existing solutions, but none have truly captured the market. With 4 similar products identified, competition exists, but not at an overwhelming level. Engagement seems to be quite low, with the similar products averaging just 2 comments each. No use or buy signals were detected, meaning there is an absence of signals, which isn't encouraging but also not a reason to dismiss the idea outright. You'll need to dig deep to understand why current solutions are failing and offer something significantly better to stand out. Consider the similar product that had users asking about future UI updates to understand the market's expectations.

Recommendations

  1. Thoroughly research why existing food verification apps haven't achieved widespread adoption. Understand the pain points users experience with current solutions. Are they inaccurate, difficult to use, lacking in comprehensive data, or simply not solving a significant enough problem? Knowing this will help you differentiate.
  2. If you decide to proceed, focus on a very specific niche within the broader 'reliable food sources' market. Are you targeting people with specific allergies, dietary restrictions (e.g., vegan, gluten-free), or ethical concerns (e.g., sustainably sourced)? A narrower focus will make it easier to tailor your app and gain traction. The similar product discussion about allergy sufferers highlights the potential for a specific user group.
  3. Consider creating tools for existing food providers (restaurants, grocery stores) to easily share their sourcing information, instead of focusing solely on consumers. Partnering with businesses could provide a more sustainable and scalable business model, and give you access to richer data. This might be more effective than trying to build a consumer-facing app from scratch.
  4. Explore adjacent problems that might be more pressing and offer a clearer path to success. For example, could you focus on helping food businesses improve their supply chain transparency, or on reducing food waste? These areas might present greater opportunities than consumer verification alone.
  5. Given the 'Swamp' categorization, carefully weigh the risks and potential rewards before investing significant time and resources. It's crucial to realistically assess whether your unique approach truly addresses the shortcomings of existing solutions and offers a compelling value proposition.
  6. Talk to potential users early and often. Before building anything, conduct in-depth interviews with people who care about reliable food sources. Understand their needs, frustrations, and willingness to pay for a solution like yours.
  7. Focus on data accuracy and comprehensiveness. One of the biggest challenges in this space is ensuring that the information provided is up-to-date and reliable. How will you collect, verify, and maintain your data?
  8. Since the similar product Food Avoidance Scanner had users asking about UI updates, prioritize an intuitive and user-friendly interface. Make it easy for users to find the information they need quickly and efficiently. The easier it is to use, the more likely people are to adopt it.

Questions

  1. What specific, unique value proposition will your app offer that existing food verification solutions lack, and how will you validate that this proposition resonates with your target audience?
  2. What are the biggest obstacles to collecting and maintaining accurate, up-to-date information on food sources, and how will you overcome these challenges at scale?
  3. Considering the potential competition and the 'Swamp' categorization, what is your plan for achieving sustainable revenue and profitability?

Your are here

You're entering a space where similar ideas haven't quite taken off, putting your concept in the 'Swamp' category. This means there are existing solutions, but none have truly captured the market. With 4 similar products identified, competition exists, but not at an overwhelming level. Engagement seems to be quite low, with the similar products averaging just 2 comments each. No use or buy signals were detected, meaning there is an absence of signals, which isn't encouraging but also not a reason to dismiss the idea outright. You'll need to dig deep to understand why current solutions are failing and offer something significantly better to stand out. Consider the similar product that had users asking about future UI updates to understand the market's expectations.

Recommendations

  1. Thoroughly research why existing food verification apps haven't achieved widespread adoption. Understand the pain points users experience with current solutions. Are they inaccurate, difficult to use, lacking in comprehensive data, or simply not solving a significant enough problem? Knowing this will help you differentiate.
  2. If you decide to proceed, focus on a very specific niche within the broader 'reliable food sources' market. Are you targeting people with specific allergies, dietary restrictions (e.g., vegan, gluten-free), or ethical concerns (e.g., sustainably sourced)? A narrower focus will make it easier to tailor your app and gain traction. The similar product discussion about allergy sufferers highlights the potential for a specific user group.
  3. Consider creating tools for existing food providers (restaurants, grocery stores) to easily share their sourcing information, instead of focusing solely on consumers. Partnering with businesses could provide a more sustainable and scalable business model, and give you access to richer data. This might be more effective than trying to build a consumer-facing app from scratch.
  4. Explore adjacent problems that might be more pressing and offer a clearer path to success. For example, could you focus on helping food businesses improve their supply chain transparency, or on reducing food waste? These areas might present greater opportunities than consumer verification alone.
  5. Given the 'Swamp' categorization, carefully weigh the risks and potential rewards before investing significant time and resources. It's crucial to realistically assess whether your unique approach truly addresses the shortcomings of existing solutions and offers a compelling value proposition.
  6. Talk to potential users early and often. Before building anything, conduct in-depth interviews with people who care about reliable food sources. Understand their needs, frustrations, and willingness to pay for a solution like yours.
  7. Focus on data accuracy and comprehensiveness. One of the biggest challenges in this space is ensuring that the information provided is up-to-date and reliable. How will you collect, verify, and maintain your data?
  8. Since the similar product Food Avoidance Scanner had users asking about UI updates, prioritize an intuitive and user-friendly interface. Make it easy for users to find the information they need quickly and efficiently. The easier it is to use, the more likely people are to adopt it.

Questions

  1. What specific, unique value proposition will your app offer that existing food verification solutions lack, and how will you validate that this proposition resonates with your target audience?
  2. What are the biggest obstacles to collecting and maintaining accurate, up-to-date information on food sources, and how will you overcome these challenges at scale?
  3. Considering the potential competition and the 'Swamp' categorization, what is your plan for achieving sustainable revenue and profitability?

  • Confidence: Medium
    • Number of similar products: 4
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: 17.1%
    • Positive use signal: 17.1%
    • Negative use signal: 0.0%
  • 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.

Similar products

Relevance

Food Avoidance Scanner - You won’t have to worry the next time you see a food label

This app serves it’s purpose to help you look out for certain types of food you wish to avoid. Quick and simple user interface by just selecting the language, take a picture of the food label and wait for the results.

Update good, adds languages/food, UI updates in the future?

Asks about future UI updates.


Avatar
6
1
1
6
Relevance

Food Avoidance Scanner - You won’t have to worry the next time you see a food label

This app serves it’s purpose to help you look out for certain types of food you wish to avoid. Quick and simple user interface by just selecting the language, take a picture of the food label and wait for the results.

The Product Hunt launch is perceived as promising and useful, particularly for allergy sufferers needing to identify troublesome ingredients and monitor food intake. Users congratulate the team on the launch and find the solution straightforward. A key question revolves around differentiation from competitors and advantages. One user inquired about the possibility of listing lactose-related items within the app.


Avatar
84
6
33.3%
6
84
33.3%
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