I will miss Foursquare citysearch and its predecessor, a little palmos app known as Vindigo. Google and yelp let you tag places in their apps but don’t have as good of api, so going forward it will be hard to maintain a private list of places that can be categorized, rendered, filtered, maintained, and exported. Google and yelp largely keep your poi info captive.
Use iD or JOSM on desktop, StreetComplete/Every Door/Go Map!!/Vespucci on the phone. Survey POIs in your local area, with your own feet. Big tech can't do that ;)
Or rather, their former business? https://techcrunch.com/2024/10/22/farewell-to-foursquares-ap... says the user apps go away in less than a month...
https://overpass-turbo.eu/s/1UCX
[out:json][timeout:25];
{{geocodeArea:Massachusetts}}->.searchArea;
(
nwr["amenity"="ice_cream"](area.searchArea);
nwr["shop"="ice_cream"](area.searchArea);
);
out geom;
--
To answer my own question
> This base layer of 100mm+ global places of interest ("POI") includes 22 core attributes (see schema here) that will be updated monthly and available for commercial use under the Apache 2.0 license framework.
Found on Simon Willison’s Weblog [0], quoting the official announcement [1]. His page also shows how to use it with Datasette.
[0] https://simonwillison.net/2024/Nov/20/foursquare-open-source...
[1] https://location.foursquare.com/resources/blog/products/four...
There's an interesting link in that thread to a PMTiles viewer with the data in it:
https://wipfli.github.io/foursquare-os-places-pmtiles/#map=1...
> Foursquare and Overture places are like many geolocation-centric datasets: users aren’t supposed to ever see the raw data, either in a list or on the map. You have to filter by a confidence score. Otherwise, you’ll get tons of user-generated junk – pranks, mistakes, etc.. In the past, Foursquare would charge big bucks for the confidence scores as an upsell. If these scores aren’t part of the dataset, then no wonder the company feels comfortable releasing the data.
See my other comment to explore the dataset.
I really loved the map for planning road trips and city trips.
I would love such a service again. I think OPs data/maps represent basically the same information.
"I'm using a 6 GHz Intel Core i9-14900K CPU. It has 8 performance cores and 16 efficiency cores with a total of 32 threads and 32 MB of L2 cache. It has a liquid cooler attached and is housed in a spacious, full-sized, Cooler Master HAF 700 computer case. I've come across videos on YouTube where people have managed to overclock the i9-14900KF to 9.1 GHz.
The system has 96 GB of DDR5 RAM clocked at 6,000 MT/s and a 5th-generation, Crucial T700 4 TB NVMe M.2 SSD which can read at speeds up to 12,400 MB/s. There is a heatsink on the SSD to help keep its temperature down. This is my system's C drive."