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422 points sungam | 1 comments | | HN request time: 0.206s | source

Coded using Gemini Pro 2.5 (free version) in about 2-3 hours.

Single file including all html/js/css, Vanilla JS, no backend, scores persisted with localStorage.

Deployed using ubuntu/apache2/python/flask on a £5 Digital Ocean server (but could have been hosted on a static hosting provider as it's just a single page with no backend).

Images / metadata stored in an AWS S3 bucket.

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johannes_ne ◴[] No.45161800[source]
I made a quite similar app 7 years ago. https://melanoma.jenevoldsen.com/

May have been in the training data.

replies(1): >>45161848 #
sungam ◴[] No.45161848[source]
That's great! I used the publicly available images from the ISIC challenge dataset which are CC licensed.
replies(1): >>45164843 #
1. johannes_ne ◴[] No.45164843[source]
Sorry, my point was not that you had taken the idea or the images (I also used ISIC).

I just considered that the language model (Gemini) may have been especially effective at coding this specific app idea, sine my old app (which is on GitHub) was probably in the data it was trained on.