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Find Wikipedia Entries Near You That Are Missing An Image

originally shared here on

The very first app I ever built for iOS was an app where you could push a button and it would generate a random celebrity for you.

I used only images in Wikipedia, and at the time, the vast majority of quality images of celebrities were from people who went to a convention or premiere, snapped a bunch of photos of as many famous people as possible, and then uploaded them to the public domain.

These are unsung heroes, as far as I'm concerned.

I always admired these people and thought maybe one day I would contribute to Wikipedia in this way.

So I used ChatGPT 4o to whip up a script that allows a user to provide a set of geo-coordinates and it'll return a list of the closest Wikipedia entries which are missing photos.

Here's a link to the HTML that got spit out. Feel free to take the source code and modify it. Or feel free to look up your own geo-coordinates and give it a spin.

The next time you are out on a walk in your neighborhood and you come across a park that you recall is missing an image, you can pull out your phone, snap a photo of it, and take ten minutes to release it into the public domain so other dorks in the future can see what your neighborhood looks like.

And by the way: I know that if I didn't have a large language model, there's no chance I'd be sitting here at 11pm looking up API documentation to try and figure out how I would put this dumb idea to use. This is the power of LLMs, people. This blog post took roughly three times as long to write than the code that was written.

I did have to refine the output once, and there's clearly no great error handling, and some of the entries it returns do have a photo yadda yadda. I get it.

This isn't a tool that one uses to produce artisanal, well-crafted software that will stand the test of time.

This is a tool that, in roughly 5 minutes, empowered me with information that I can now use to make my community a tiny bit better.

That's what I love about technology.



Become a Wikipedian in 30 minutes


🔗 a linked post to blog.mollywhite.net » — originally shared here on

Have you ever thought about getting started editing Wikipedia, but then decided not to because you were just overwhelmed by the number of policies it felt like you needed to understand? Or you didn’t know where to get started, what to start writing about, what to even edit? Or you were just worried you might break something and mess everything up?

I encourage people to edit Wikipedia all the time, for so many different reasons, and I hear that a lot: that they wanted to start editing, and they maybe even made an account to get started, but then once they went to actually edit something they got scared or overwhelmed by the policies. Or they read a couple of pages and felt like they just couldn’t possibly do it.

The spirit of Wikipedia is extremely in line with the values I’ve been working on verbalizing.

A group of strangers making an open source compendium of human knowledge for the sake of altruism? Count me in.

I was scared away from really considering becoming a Wikipedia editor because of a classic episode of Hypercritical where John lists out all of his reasons to be critical of Wikipedia, but this video is making me reconsider.

Related: When I was building the Random Celebrity Generator app in the early days of my career, I relied exclusively on images of celebrities from Wikipedia.

After going through thousands of images and providing proper attribution, you start to see the same names pop up.

It seems like there were maybe ten or so photographers who went to an event like Comic Con with super nice cameras, attended panel discussions, and snapped as many good headshots as they could.

A dream job of mine would be to do the same.

Although I guess it wouldn’t be a job per se to take images, get paid zero dollars, and release the rights to those images into the public domain.

What’s that called again? … oh, yeah, a hobby.

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