13 Jul 2025
Travel

cheap apartment finder with interactive features including photos and ...

...maps

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 cheap apartment finder with interactive features falls into a crowded space, which we call a 'Swamp'. There are already several similar solutions available, and the engagement is quite low. With an engagement of only 1 comment on average across similar products, it suggests that these solutions don't generate a lot of buzz or user interaction. Given the 'Swamp' category and the low engagement, it indicates that existing solutions aren't loved and it will be challenging for you to stand out. The number of similar products (4) suggests that the competition is moderate and you might struggle to make money unless you offer something very different.

Recommendations

  1. Before proceeding, deeply research why existing apartment finders haven’t achieved widespread success or high user engagement. Understand their shortcomings and identify unmet user needs in the cheap apartment search process. Look into aspects like data accuracy, user experience, and search functionality.
  2. If you remain committed to this idea, identify a specific niche or group of users with distinct needs that are underserved by current apartment finders. For example, consider students, digital nomads, or people relocating to a new city on a tight budget. Tailor your features and marketing to meet their unique requirements.
  3. Explore the possibility of creating tools or integrations for existing apartment listing platforms rather than building a completely new platform from scratch. This might involve developing a plugin or API that enhances existing functionalities. Consider addressing the lack of interactive features by offering a service that enhances existing listings.
  4. Consider adjacent problems that might be more promising. Instead of focusing solely on finding cheap apartments, explore related areas such as connecting roommates, verifying apartment quality, or streamlining the application process.
  5. Based on the "Hidden Housing" discussion, investigate the potential integration of interactive charting libraries such as Apache ECharts to enhance the visualization of apartment data. This could provide users with a more engaging and informative experience when comparing options.
  6. Given the limited comments on similar products, focus on gathering user feedback early and often. Conduct user interviews, run surveys, and actively solicit feedback on your prototype to ensure you are building a product that meets their needs and addresses their pain points.
  7. Since similar products have struggled to generate high engagement, develop a comprehensive content strategy that includes blog posts, neighborhood guides, and interactive maps to attract and retain users. Provide value beyond just listing apartments and position yourself as a trusted resource for finding affordable housing.
  8. Prioritize mobile optimization to capture users searching for apartments on the go. Ensure your website or app is responsive and provides a seamless experience on all devices.
  9. Given the challenges in this space, it might be wise to re-evaluate the potential and redirect your energy towards a more promising opportunity. Consider exploring different ideas or markets with less competition and higher potential for success.

Questions

  1. What are the specific pain points that current cheap apartment finders fail to address, and how can your solution offer a significantly better user experience?
  2. How will you differentiate your platform from existing solutions to capture a significant market share, especially given the low engagement with similar products?
  3. What innovative strategies will you employ to generate user engagement and build a loyal community around your apartment finder platform, given the 'Swamp' environment?

Your are here

Your idea for a cheap apartment finder with interactive features falls into a crowded space, which we call a 'Swamp'. There are already several similar solutions available, and the engagement is quite low. With an engagement of only 1 comment on average across similar products, it suggests that these solutions don't generate a lot of buzz or user interaction. Given the 'Swamp' category and the low engagement, it indicates that existing solutions aren't loved and it will be challenging for you to stand out. The number of similar products (4) suggests that the competition is moderate and you might struggle to make money unless you offer something very different.

Recommendations

  1. Before proceeding, deeply research why existing apartment finders haven’t achieved widespread success or high user engagement. Understand their shortcomings and identify unmet user needs in the cheap apartment search process. Look into aspects like data accuracy, user experience, and search functionality.
  2. If you remain committed to this idea, identify a specific niche or group of users with distinct needs that are underserved by current apartment finders. For example, consider students, digital nomads, or people relocating to a new city on a tight budget. Tailor your features and marketing to meet their unique requirements.
  3. Explore the possibility of creating tools or integrations for existing apartment listing platforms rather than building a completely new platform from scratch. This might involve developing a plugin or API that enhances existing functionalities. Consider addressing the lack of interactive features by offering a service that enhances existing listings.
  4. Consider adjacent problems that might be more promising. Instead of focusing solely on finding cheap apartments, explore related areas such as connecting roommates, verifying apartment quality, or streamlining the application process.
  5. Based on the "Hidden Housing" discussion, investigate the potential integration of interactive charting libraries such as Apache ECharts to enhance the visualization of apartment data. This could provide users with a more engaging and informative experience when comparing options.
  6. Given the limited comments on similar products, focus on gathering user feedback early and often. Conduct user interviews, run surveys, and actively solicit feedback on your prototype to ensure you are building a product that meets their needs and addresses their pain points.
  7. Since similar products have struggled to generate high engagement, develop a comprehensive content strategy that includes blog posts, neighborhood guides, and interactive maps to attract and retain users. Provide value beyond just listing apartments and position yourself as a trusted resource for finding affordable housing.
  8. Prioritize mobile optimization to capture users searching for apartments on the go. Ensure your website or app is responsive and provides a seamless experience on all devices.
  9. Given the challenges in this space, it might be wise to re-evaluate the potential and redirect your energy towards a more promising opportunity. Consider exploring different ideas or markets with less competition and higher potential for success.

Questions

  1. What are the specific pain points that current cheap apartment finders fail to address, and how can your solution offer a significantly better user experience?
  2. How will you differentiate your platform from existing solutions to capture a significant market share, especially given the low engagement with similar products?
  3. What innovative strategies will you employ to generate user engagement and build a loyal community around your apartment finder platform, given the 'Swamp' environment?

  • Confidence: Medium
    • Number of similar products: 4
  • Engagement: Low
    • Average number of comments: 1
  • 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.

Similar products

Relevance

Hidden Housing - You can afford a house. Somewhere.

Website tracks the mls, rents and short term rentals every day, summarizes and compares listings to find pockets of affordability throughout the country. Also includes community, diversity, climate and economic data.

The Product Hunt launch received positive feedback, with one user appreciating the filter options and map types. There was also an inquiry regarding the potential integration or use of Apache ECharts. Another user expressed overall positive sentiment, possibly referencing a favorable outcome for a group humorously referred to as the 'tinder mafia'.


Avatar
6
2
2
6
Relevance

I built a website to help me compare apartments

08 Jul 2024 Productivity

When I was apartment hunting, it was super annoying trying to copy paste addresses and to figure out how far everything was from the apartment—like work, my girlfriend's place, the gym, etc. So, I made a little calculator to help me out. Hope it’s useful for some of you too! P.S. it’s free and we don’t store dataCheck it out at https://routecanvas.app/

Comment is dead.


Avatar
3
1
1
3
Relevance

PickYourPlace – Making location-based data accessible for home seekers

05 Nov 2024 SaaS

I built a tool to help people make data-driven decisions about where to live, starting with Calgary, AB. Instead of just showing property listings, it aggregates and visualizes:- Historical property values (up to 20 years of municipal assessment data)- Crime statistics (population-adjusted, categorized by type)- Proximity analysis (schools, healthcare, transit, amenities)- Flood risk assessment- Travel time calculations for different modes of transportTech stack:- Frontend: Vue.js with Nuxt.js (hybrid SSR/SPA architecture)- Styling: shadcn-vue and Tailwind CSS- Maps: Mapbox with PMTiles for efficient vector tile serving- Database: PostgreSQL with PostGIS and H3 for spatial indexing and queries- Architecture: Explore page runs as SPA for smooth interactions, other pages SSR for better SEO/performanceDemo: https://www.pickyourplace.app/Background: Built initial prototype 3 years ago for an AWS hackathon. Recently rebuilt and launched v1.0 with up-to-date data and improved system design. Currently free to use, planning to expand to more cities.Would love feedback from the HN community on:1. Which cities to add next2. Additional datasets that would be valuable3. Features that would make this more useful for your use case


Avatar
1
1
Relevance

I made a mobile app to help people find rooms and flatmates in HCOL

13 Jul 2024 Community

Hi!I spent 3 years living in Brussels and Paris and oh lord was it overly complicated to find a flatshare.As a student / young worker, I did not have the budget to afford a studio or a flat in those capitals (I mean who does?), so I could only rely on flatsharing or a dorm. The main and almost only source at the time was Facebook groups and it was so chaotic. 30% of the posts are straight up scams or people trying to sell you their dropshipping course (source: trust me). Sending 20 - 30 messages a day floods your Messenger inbox and the chances of getting a reply is extremely low. If the rooms is not already taken, scheduling visits is a nightmare. Lots of informations are lacking on the posts such as price, charges, number of roommates, location and so on. There has to be a better way.My name is Djulian and with my partner, we spent the last few months building Coloco, a mobile app to help you find a roommate and / or a room.Here is a few features for the MVP: - Search cities / region with a search bar or use our interactive map; - Advanced filters; - Instant chat; - Rich description of postings; - And many more features coming!!We finally released yesterday and we are so excited about it because we're hoping to finally fix this finding a room in a HCOL* city problem once and for all.Let me know if you have any questions!Take care, Djulian.PS: Here is a link you can use or your mobile phone to open the app on the store: https://link-to.app/coloco*: High Cost of Living


Avatar
1
1
Top