<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>dougmccune</author><text>Would Strava be OK with people using this data to trace paths for Open Street Map?&lt;p&gt;I noticed there are quite a few paths through Golden Gate Park in SF (as just one of many examples) that are pretty clear running&amp;#x2F;biking paths that are not in any of the typical basemap providers&amp;#x27; maps and not currently in OSM. If you reached out to the OSM community and gave the go ahead, this would be a great way to improve the trail data in OSM.</text><parent_chain><item><author>paulmach</author><text>Map creator here if you have questions.&lt;p&gt;The data is aggregated into a quad tree based on number of GPS points in each pixel. Tiles are then served on the fly using Go and C using CGO.&lt;p&gt;Cloudfront tackles most of the load, but the load balanced i2.xlarge instances can do about 300 tiles a second.</text></item></parent_chain></comment><story><title>Global heatmap of cycling and running routes</title><url>http://labs.strava.com/heatmap/#2/-72.60058/23.12465/gray/both</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>dalek2point3</author><text>This map is cool, but it  doesnt help me use it for what I imagine is a pretty common use-case, finding a popular route from Place A to B. Would it be possible to drop placemarkers between two places and do routing based on Strava popularity? Right now Google bike directions are pretty bad where I live, and it would be nice to know what route the &amp;quot;insiders&amp;quot; are taking to do a popular route (MIT to Concord is one Im thinking of, but I can imagine other alternatives)</text><parent_chain><item><author>paulmach</author><text>Map creator here if you have questions.&lt;p&gt;The data is aggregated into a quad tree based on number of GPS points in each pixel. Tiles are then served on the fly using Go and C using CGO.&lt;p&gt;Cloudfront tackles most of the load, but the load balanced i2.xlarge instances can do about 300 tiles a second.</text></item></parent_chain></comment><story><title>Global heatmap of cycling and running routes</title><url>http://labs.strava.com/heatmap/#2/-72.60058/23.12465/gray/both</url></story>