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Consider This Before Building a Zillow-Like Platform for Rwanda

Author
Daniel Kawalsky

This project began from a simple frustration: existing real estate websites in Rwanda often fail to show exactly where a property is located. In many cases, this makes it impossible for a buyer to understand whether a property is in a desirable neighborhood, close to infrastructure, or in a remote location. This gap led me to wonder: could I build a better, geospatially-aware version of Zillow for Rwanda?

Before we get into the thick of it, consider this: in Rwanda, putting property data online shifts the responsibility for accuracy to individual owners, many of whom don’t have the tools or digital know-how to create and maintain good listings. In the U.S., MLS platforms (which Zillow sources its data from) are run by industry groups and only licensed agents can post, usually under standardized contracts like the exclusive right-to-sell. Rwanda’s approach, with e-government services that let anyone list and sell their own property, is good and democratic, but without standardized agreements or professional upkeep, portals struggle to build the same trust and momentum. It’s a tradeoff between openness and reliability.

The Existing Landscape of Rwandan Real Estate Platforms
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Today, Rwanda has several real estate platforms, including HouseInRwanda.com and HomeRwanda.com. These platforms list properties online, but many of them charge real estate agents to post listings (sometimes with monthly fees), and none of them reliably show the precise location of a property. Most listings give only the sector or village, leaving buyers guessing.

Alongside these more formal platforms, many brokers use free tools like WhatsApp and Instagram to list and promote properties. Some real estate agents have created Instagram feeds specifically dedicated to showcasing listings, and over time, they’ve built a following of interested buyers. They post photos, pricing, brief details, and contact information. It’s an effective and free alternative, even though these platforms don’t support map-based browsing or structured data entry.

The UPI: Rwanda’s Unique Parcel Identifier
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Rwanda has an advanced land management system. Every parcel of land in Rwanda is assigned a Unique Parcel Identifier (UPI), a code that encodes its location within Rwanda’s administrative hierarchy: province, district, sector, cell, and village. But the UPI code alone does not provide latitude and longitude. You need a geospatial database that maps each UPI to coordinates to plot them on a map. In some cases, this information exists within government systems like the Rwanda Land Management and Use Authority (RLMUA), but it is not widely available for public platforms.

The Stakeholders of Rwanda’s Real Estate Ecosystem
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Building a Zillow-like platform in Rwanda involves navigating a complex web of stakeholders, each with their own interests and concerns:

Each of these groups presents both potential partnerships and obstacles depending on how a platform engages with their incentives.

Brokers, Informality, and the Business of Real Estate in Kigali
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During my research, I interviewed real estate agents in Kigali. Their responses revealed a complicated, largely informal ecosystem where transparency is both an opportunity and a threat.

As one broker put it:

“Here in Kigali, there’s no regulation around real estate. None. Even though we’ve had meetings with the government, right now there’s no regulation in place. That’s what makes it difficult to manage this business.”
 — Broker A

Another challenge is that owners will often contact multiple brokers to market the same property, which fuels competition:

“Many brokers might know about the same house. For example, in Kigali, an owner might call many brokers to help market their property. In the end, the owner will pay the broker who successfully brings the client.”
 — Broker A

And getting leads on properties is itself a business. Brokers sometimes rely on locals who act as fixers, earning a tiny reward for spotting a new property for sale:

“I pay locals a Coca-Cola or maybe a few bucks a day to pass along tips about homes for sale. It might not sound like much, but these locals can give you first-hand knowledge of a new property before anyone else knows about it.”
 — Broker B

In some cases, brokers keep these local scouts on a kind of informal retainer, offering small daily incentives like soft drinks or modest payments in exchange for real-time intel from neighborhoods. Once a scout alerts the broker about a property, the broker then advertises it through their network or Instagram feed, hoping to close a deal and earn a commission.

This use of Instagram to build a lead-generation funnel is surprisingly effective. Agents post in their feed and stories, engage directly with prospective buyers in DMs, and manage follow-ups all from a free app that doesn’t require technical skill to operate.

Why Brokers Avoid Sharing UPI or Exact Locations
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The resistance to publicly sharing UPI codes or even dropping a pin on a map comes down to one key fear: being cut out of the deal.

“If someone has the UPI, it’s easy to get all the information about the property owner. Even just having the exact location makes it easier to find the house and contact the owner directly.”

“One client asked me for the UPI of a house. I shared it with him. After that, he didn’t call me back to go view the house together. Instead, he went there on his own, met the owner, and finalized the deal. I didn’t earn anything from that transaction.”
 — Broker A

As a result, brokers have developed norms around how much information to share:

“Our job is about sharing information, yes, but in a controlled way. So when posting online, putting the sector and village is fine. That’s enough detail for clients to have an idea, but not enough for them to go directly without us.”
 — Broker A

Rwanda’s shift toward digital, self-service platforms like the e-Title system for electronic land registration has empowered citizens to handle property transactions directly, often without needing intermediaries. While this reflects a commendable push for government efficiency and transparency, it also inadvertently undermines the traditional role of real estate agents. When buyers can access official land titles and ownership details online, especially if paired with a property’s exact location or UPI code, they’re more likely to bypass brokers entirely, cutting them out of the negotiation and the commission.

Navigating This Reality When Building a Platform#

This creates a fundamental tension for any Zillow-like platform in Rwanda. Buyers want more transparency. Brokers want to protect their leads. A platform must balance these needs carefully.

One option is to allow approximate location information (sector or village) but avoid showing the exact parcel or UPI until later in the transaction flow.

Offering a Free Platform (And Managing the Risks)
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One of the simplest competitive advantages against platforms like HustleRwanda.com would be to offer free listings. However, this also invites spam and scams. Content moderation becomes a significant cost.

To mitigate bad actors, platforms could require users to verify their phone number via SMS. But sending SMS messages costs money. WhatsApp-based verification might not be feasible due to limitations in their business messaging platform.

Hosting Costs & Monetization Considerations
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Aside from verification, there are also hosting costs to consider. Moderating user-generated content (photos, descriptions, locations) requires not just technical resources but also human oversight. Monetizing a free platform might require a mix of premium features, ads, or partnerships with government bodies or developers.

Language Localization: A Simple Way to Add Value
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Many existing real estate platforms list properties only in English. Offering Kinyarwanda and Swahili translations for both platform content and user listings would immediately expand accessibility, especially for local buyers and sellers who are not fluent in English.

Using AI for Property Valuation
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Finally, an exciting feature would be using AI models to estimate the value of properties, based on location, UPI data, square footage, number of bedrooms/bathrooms, and other features. Scraping existing listings and mapping them to UPI codes could provide the training data needed to build such a model.

Conclusion
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Building a Zillow-like platform for Rwanda is not just a technical challenge, it’s a cultural and market design challenge. Balancing transparency with brokers’ business models, managing content moderation, and localizing for language and context will all be essential to success.

Yet, despite the challenges, the opportunity is clear: to build a geospatial, user-friendly, multilingual platform that reflects how real estate really works in Rwanda while gently nudging it toward greater openness and efficiency.

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