01 Jul 2025
Investing

App for planing real estate buys, with the help of open data to check ...

...averages and compare offers.

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

Your idea for a real estate buying app that uses open data to compare offers falls into a crowded space. We've identified 12 similar products, indicating a high level of competition. This puts your idea squarely in the 'Swamp' category, which means there are already many mediocre solutions that haven't gained traction. The average engagement (measured by comments) is very low, suggesting that these existing solutions aren't sparking much excitement. You have no net use or buy signal, which is expected, but it also means you will have to fight hard to convince users. It's great that you're thinking about using open data, but that is not enough to differentiate you from others. The key takeaway is that unless you offer something radically different, it will be difficult to stand out and generate revenue in this competitive landscape.

Recommendations

  1. Deeply research why existing real estate investment apps haven't resonated with users. Understand their pain points, unmet needs, and what they find lacking in current solutions. Look at the user reviews and app store ratings to understand your future customers.
  2. If you decide to proceed, identify a specific niche within the real estate market that is currently underserved. Maybe focus on first-time homebuyers, property investors looking for specific types of deals (e.g., fix-and-flips), or a particular geographic area. The more specific you are, the easier it will be to tailor your app to their needs.
  3. Consider building tools or providing data analysis for existing real estate platforms or agents. Instead of competing directly, you could integrate your open data analysis into their workflows, providing value without requiring users to switch to a new app.
  4. Explore adjacent problems in the real estate market that might be more promising. For example, could you focus on property management tools, tenant screening services, or tools to help homeowners with renovations and maintenance? These areas might have less competition and more potential for growth.
  5. Given the crowded market, it may be wise to explore other startup ideas where you have a stronger competitive advantage. Don't be afraid to pivot and focus your energy on an opportunity with a higher chance of success.
  6. Focus your marketing efforts on content generation and organic search. Create insightful blog posts, guides, and reports that showcase your expertise in real estate data analysis. This will help you attract potential users who are actively searching for solutions to their real estate challenges.
  7. Network and collaborate with real estate agents, brokers, and investors. Attend industry events, join online communities, and build relationships with key players. These connections can provide valuable feedback, potential partnerships, and early adopters for your app.

Questions

  1. What unique insights can your app provide that aren't already available through Zillow, Redfin, or Realtor.com? How will you differentiate yourself from these established players?
  2. Given the lack of engagement with similar products, what specific features or functionalities will you include in your app to create a compelling user experience that keeps users coming back?
  3. How will you acquire your initial user base and generate awareness for your app in a competitive market?

Your are here

Your idea for a real estate buying app that uses open data to compare offers falls into a crowded space. We've identified 12 similar products, indicating a high level of competition. This puts your idea squarely in the 'Swamp' category, which means there are already many mediocre solutions that haven't gained traction. The average engagement (measured by comments) is very low, suggesting that these existing solutions aren't sparking much excitement. You have no net use or buy signal, which is expected, but it also means you will have to fight hard to convince users. It's great that you're thinking about using open data, but that is not enough to differentiate you from others. The key takeaway is that unless you offer something radically different, it will be difficult to stand out and generate revenue in this competitive landscape.

Recommendations

  1. Deeply research why existing real estate investment apps haven't resonated with users. Understand their pain points, unmet needs, and what they find lacking in current solutions. Look at the user reviews and app store ratings to understand your future customers.
  2. If you decide to proceed, identify a specific niche within the real estate market that is currently underserved. Maybe focus on first-time homebuyers, property investors looking for specific types of deals (e.g., fix-and-flips), or a particular geographic area. The more specific you are, the easier it will be to tailor your app to their needs.
  3. Consider building tools or providing data analysis for existing real estate platforms or agents. Instead of competing directly, you could integrate your open data analysis into their workflows, providing value without requiring users to switch to a new app.
  4. Explore adjacent problems in the real estate market that might be more promising. For example, could you focus on property management tools, tenant screening services, or tools to help homeowners with renovations and maintenance? These areas might have less competition and more potential for growth.
  5. Given the crowded market, it may be wise to explore other startup ideas where you have a stronger competitive advantage. Don't be afraid to pivot and focus your energy on an opportunity with a higher chance of success.
  6. Focus your marketing efforts on content generation and organic search. Create insightful blog posts, guides, and reports that showcase your expertise in real estate data analysis. This will help you attract potential users who are actively searching for solutions to their real estate challenges.
  7. Network and collaborate with real estate agents, brokers, and investors. Attend industry events, join online communities, and build relationships with key players. These connections can provide valuable feedback, potential partnerships, and early adopters for your app.

Questions

  1. What unique insights can your app provide that aren't already available through Zillow, Redfin, or Realtor.com? How will you differentiate yourself from these established players?
  2. Given the lack of engagement with similar products, what specific features or functionalities will you include in your app to create a compelling user experience that keeps users coming back?
  3. How will you acquire your initial user base and generate awareness for your app in a competitive market?

  • Confidence: High
    • Number of similar products: 12
  • Engagement: Low
    • Average number of comments: 0
  • Net use signal: 0.0%
    • Positive use signal: 0.0%
    • 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.

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