This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
NYC Block Score
New Yorkers don't pick neighborhoods. They pick blocks.
NYC Block Score scores any NYC block across 5 dimensions pulled live from NYC Open Data — noise, green space, restaurants & bars, safety, and construction. Type an address, get a 1–10 score with plain-English labels so you know what you're looking at, not just a number. Beta launch. Data is real, scoring is live, I'm actively iterating. Some outer borough tree coverage is patchy. I'd rather ship honest than wait for perfect. Try your block. Send it to your landlord. Or your enemies.
Hey Product Hunt 👋
I'm Elushika — senior product designer by day, obsessive New Yorker always.
I built NYC Block Score because I kept making apartment decisions based on vibes and regretting it. Turns out NYC Open Data has five live APIs covering exactly what you actually care about — noise, trees, bars, safety, construction — and nobody had turned them into something a normal person could use in 30 seconds.
So I did.
The design challenge was harder than the data challenge. A number without context is useless. Getting "Chaotic" to feel more useful than "3/10" took more iterations than I expected — and it's still evolving.
This is a genuine beta. I'm here all day to answer questions, hear what's broken, and find out what your block scored. Drop it below — I'm especially curious about outer borough results where the tree data gets thin.
Thanks for checking it out. 🌳
Typed in my block in Astoria and the noise score nailed it. Love that the labels explain what each number actually means instead of just leaving you guessing.
Pulled up my block in Astoria and the noise score nailed it. Cool that the data is live and the labels actually tell you what's behind the number instead of just throwing a 6.4 at you.
Hey everyone — quick update from the maker 👋
Score axis clarity — a few of you correctly flagged that "higher is better" isn't intuitive when you're looking at noise or construction. A high noise score means less noise. That's getting clearer labeling in the next update.
Outer borough tree data — the street tree inventory has real gaps outside Manhattan and I'm not papering over it. You'll see it reflected honestly in the scores until the underlying data improves.
Safety dimension — the most thoughtful critique I've gotten is that NYPD complaint data captures who gets policed, not who feels safe. That's a real limitation and I'm thinking carefully about how to weight and contextualize it better.
What's working: the plain-English labels (Quiet, Leafy, Chaotic) are landing the way I hoped. And the compare feature is getting used more than anything else — turns out New Yorkers really do want to settle block arguments with data.
Still very much in beta. Still very much listening.
Drop your block below if you haven't yet — I'm reading every single one. 🌳
About NYC Block Score on Product Hunt
“New Yorkers don't pick neighborhoods. They pick blocks.”
NYC Block Score was submitted on Product Hunt and earned 0 upvotes and 4 comments, placing #68 on the daily leaderboard. NYC Block Score scores any NYC block across 5 dimensions pulled live from NYC Open Data — noise, green space, restaurants & bars, safety, and construction. Type an address, get a 1–10 score with plain-English labels so you know what you're looking at, not just a number. Beta launch. Data is real, scoring is live, I'm actively iterating. Some outer borough tree coverage is patchy. I'd rather ship honest than wait for perfect. Try your block. Send it to your landlord. Or your enemies.
NYC Block Score was featured in Maps (12.8k followers), Data & Analytics (5.7k followers) and Design (5.3k followers) on Product Hunt. Together, these topics include over 7.9k products, making this a competitive space to launch in.
Who hunted NYC Block Score?
NYC Block Score was hunted by Elushi W. 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.
Want to see how NYC Block Score stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Elushi W