Moving to New York? Hopscotch helps you discover suitable neighborhoods based on many factors: budget, grocery stores, gyms, subway lines, bike share, parks, safety, proximity to specific locations and more.
Find your neighborhood in NYC
Moving to New York? Hopscotch helps you discover suitable neighborhoods based on many factors: budget, grocery stores, gyms, subway lines, bike share, parks, safety, proximity to specific locations and more.
Hey PH! Abhijit, Darren, and I worked as a team to build Hopscotch. If you’re moving to NYC (or thinking about it), Hopscotch helps you discover suitable neighborhoods that best align with your needs or wants. We built Hopscotch to reduce the hassle of mining through various sources to find your optimal living location. Some features: - Hopscotch incorporates many filters including proximity to specific locations, budget, safety, nearby stores and gyms, subway lines and citi bikes, and more. - H
Very cool! This would have been super useful when I lived in NYC! What sources of data do you use for this? Any open data sources you can link to?
Super cool concept, and great UI! Have you thought about incorporating neighborhood sound / popularity level? Thinking about my own apartment search in nyc... I know I was very concerned about living in a neighborhood that felt too busy and loud. Ease of access to the major airports (or Penn/Grand Central) is important too. Maybe have those as auto-populated suggestions rather than making users have to search for them? Congrats on the launch 👏
Such an awesome and useful tool! I love the concept and interface of Hopscotch! I can't wait for this to be used in other cities as well!
Very interesting concept! I wish this could integrate with a real estate search engine, to combine personal preferences with the reality of the market
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
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