OpenAI Deep Research is great for this. Here's a report about College Hill, a small area of SF between Bernal Heights and Glen Park:
https://chatgpt.com/share/685b0890-fa44-8013-adce-8db2855d13...
(Glen Park Library is where Ross Ulbricht was arrested.)
Here's a similar one about Colliers Wood (South London), another small area whose location is often described as 'between X and Y' (in this case, Tooting and Wimbledon):
https://chatgpt.com/share/685b09a4-14f0-8013-ad2c-3c2c7f8c25...
I worked on a project long time ago similar to this. I had to dig up old maps from major public libraries across a handful of cities and overlay them on top of modern maps using key historical landmarks and geographical features. It’s amazing how cities evolve and transform over time. I think what would be cool is if someone could build a street-level time capsule of places like New York. Perhaps monthly or even daily.
This is unbelievably cool. I would love to see the same for the Twin Cities, or Seattle.
This has been here before, but nice to see it again.
If only this answered the great puzzle of San Francisco street names - why are the state-named streets in Potrero Hill and the Mission in that order?
I did not see my Powell St, parallel to Mason & Stockton St.
I extracted all the history information to a single file if others like me would find this useful: https://dl.dropboxusercontent.com/scl/fi/d3cikbe5siw4uuiurcd...
(Though I do love the website's interface)