Real estate in India is still largely driven by brokers, word-of-mouth, and gut feeling — even though developers like us build data-driven systems for almost everything else.
At Meteryard, while working on a property decision advisory platform, we’ve been exploring how technology can reduce confusion for buyers instead of adding more listings noise.
Here are a few questions I’d love to hear the dev community’s thoughts on 👇
Q1. If you were building a real-estate decision system, what data would you trust the most?
Historical price movement
Infrastructure & location signals
Rental yield & demand data
Legal / risk indicators
Or something else?
Q2. Do you think AI should recommend properties or only explain risks and trade-offs and let users decide?
Q3. From a tech POV, what’s harder in India:
Cleaning unreliable property data
Standardizing locations & pricing
Or building user trust in algorithms?
Q4. Would you personally use a platform that says:
“This property looks attractive, but historically buyers like you regret this decision after 3–5 years.”
Or would that feel intrusive?
We’re actively experimenting with these ideas at Meteryard, but I’m more curious about how developers here would design it differently.
Looking forward to insights, opinions, and even disagreements 👀
Let’s discuss.
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