Show HN: Density – The Heartbeat of a City
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The other half doubled down on MAC address tracking tech, arguing that it still generates meaningful data - http://www.euclidanalyticsblog.com/2014/08/beacons-and-wi-fi... Although I've heard they've started to move toward video and facial recog.
We were so small at the time of the announcement last June that we thought... "Why don't we just build a door counter. How fing hard could that be?"
...turns out it's like way, really fing hard.
But here it is - http://i.imgur.com/zLUMAG8.jpg?1
http://www.dailymail.co.uk/news/article-3006019/Microphones-...
http://www.bloomberg.com/bw/articles/2014-06-24/chicagos-new...
Question - why would a business be OK with broadcasting a "quiet" status? Wouldn't that reflect poorly on them?
Well, I guess it could be bad if I knew that it was always quiet and therefore "a drag" (sorry, that was a weird word to use). But I suspect any bar or club that's reasonably solvent, especially in populous cities, has busy times.
Atm though we only show the traffic right now and notify when something is triggered, quiet / trending.
Second, I think there are people out there that are not looking for busy bars. Rather quiet ones. I certainly fall into that category.
We're not in any bars right now, though. I'll get back to you once we have more data.
It seems like if you had the data, you could build both an app that's marketed to tell you when places are quiet, and an app that's marketed to tell you when places are lively.
EDIT: Or do you envision the app to do both? I'm having a hard time squaring "The Heartbeat of a City" with "Is your favorite place quiet right now? Check it out in realtime and get notified when it’s convenient to drop by."...
> Second, I think there are people out there that are not looking for busy bars. Rather quiet ones. I certainly fall into that category.
I'm curious what the market size is for people looking for quiet public places vs. lively public places. Is there already a popular app that targets the latter? Has anyone successfully filled the gap left by Foursquare eliminating check-ins?
I imagine you're already thinking about how you can enrich your dataset and provide analysis that will help people solve real problems of consequence. Parking might be a big one: there's surely money to be made directing drivers to available public parking spots or showing businesses and real-estate developers the potential to share parking among uses that are statistically complementary with respect to parking demand.
And please add Kansas City.
There's another cool company doing parking called Parkifi I think.
Someone else mentioned El Farol Bar. If we're causing too many people to show up or too many to stay home... that would be an awesome problem to have.
Re: Kansas City. Friends with some of the founders / early people over at Zaarly. We're definitely keeping Kansas City in mind ;)
On the parking point—there do seem finally to be some real efforts underway to gather data about parking availability. At an average cost of about $40,000 per spot in a parking structure and low overall utilization, it's astounding that it's taken this long for serious attempts to emerge to find ways to allocate parking more efficiently. In addition to solutions that involve putting sensors in situ, car-makers are starting to think about how they can use the ever-expanding array of sensors in their vehicles to map parking spaces and track their availability [1].
But there are surely other open problems of the same sort that Density's data could help solve: how many people are jamming into the subway right now, or how many are at the farmer's market already? In this common sort of situation, your experience depends on how many other people are doing what you're contemplating doing, and your behavior will (or would) change with better information about who's doing what.
Look for those sorts of problems to apply your data to, I'm suggesting. There might also be opportunities to map demand irrespective of supply. In the parking situation, for instance, tracking the number of open spaces only gets you so far; you also want to know how much aggregate demand there is, because that helps you figure out whether to build more capacity. Second-order statistics like how many people are checking a location's activity in the app can help you estimate that sort of thing.
0. See, e.g., http://www-f1.ijs.si/~rudi/sola/MinorityGame-Seminar.pdf [PDF]
1. http://arstechnica.com/cars/2015/02/remote-valet-mode-and-re...
Parking - I agree. That one company has a unit that senses the presence of a battery in a parking spot.
Other open problems - I think your talking about how datasets affect one another. What's really interesting about that regarding foot traffic is that there currently isn't a way to know how many people came and went. Which means it's currently tough to draw connections between how foot traffic might affect the farmer's market or the subway or the financial district in San Francisco.
Can you explain map demand irrespective of supply?
Checking PDF..
One of my clients is building a dashboard that correlates data from various sources, and this kind of data for physical businesses has long been a dream.
EDIT: Never mind, I didn't see the website where it's explained: http://www.density.io/
Cool product!
Thanks!
Or could someone rig up say, an entire hospital with this thing and see stuff like admission / availability of the waiting rooms at nearby ERs?
Love the webhooks idea, I can see users hooking into something like ifttt.
Here's how we arrived there: https://medium.com/@kyle_ohara/simple-is-ing-hard-91730cf723...
Usefulness will depend on whether the location you are interested in has the required hardware.