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Neighborhood Intel

Sourced neighbourhood facts for home buyers in India

Click any address in Bengaluru, Delhi, or Pune to see flooding, water supply, power cuts, air quality, schools, crime, and RERA records. Every figure shows its source and date. Where public data can't answer, it says so. Free, no sign-up.

Top comment

Hi Product Hunt, Roopam here While hunting for my first flat in Bengaluru, I realised most of what I knew about an apartment came from the seller, plus YouTube influencers and ChatGPT checklists. None of it gave me real confidence about such a big investment. Many of the answers are public, but they're spread across many government and public sites that are slow, inconsistent and often down. After checking four or five things on different portals, you start to feel you've researched the area enough, even though you've covered only a fraction of what matters. So I built Neighborhood Intel to put it all in one place. Click any address in Bengaluru, Delhi or Pune to see flooding, water, power, air quality, schools, crime, RERA records and what's nearby, all from government and public sources. The part I care about most: every figure shows its source and date, and is marked Reliable, Caveat or Unknown. If public data can't answer a question, the app says so. For example, Bengaluru's water board doesn't publish supply schedules, so instead of guessing, the app tells you that data doesn't exist. Some government data lags by months or even years, and the app shows how old each figure is. But for a home you'll live in for ten years or more, the long-term pattern matters more than last week's numbers: does this area flood every monsoon, and how deep is the groundwater? It's free with no sign-up, and it's a non-commercial side project. Two questions for you: which city should I add next, and what do you wish you'd known about your neighbourhood before you moved in?

About Neighborhood Intel on Product Hunt

“Sourced neighbourhood facts for home buyers in India ”

Neighborhood Intel was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. Click any address in Bengaluru, Delhi, or Pune to see flooding, water supply, power cuts, air quality, schools, crime, and RERA records. Every figure shows its source and date. Where public data can't answer, it says so. Free, no sign-up.

On the analytics side, Neighborhood Intel competes within Maps, Data & Analytics and Neighborhood — topics that collectively have 19.1k followers on Product Hunt. The dashboard above tracks how Neighborhood Intel performed against the three products that launched closest to it on the same day.

Who hunted Neighborhood Intel?

Neighborhood Intel was hunted by Roopam Garg. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Neighborhood Intel including community comment highlights and product details, visit the product overview.