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Show HN: I'm a dermatologist and I vibe coded a skin cancer learning app

(molecheck.info)
422 points sungam | 2 comments | 07 Sep 25 10:38 UTC | HN request time: 2.409s | 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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vindex10 ◴[07 Sep 25 14:33 UTC] No.45158481[source]▶
Hi! That's really useful tool!

I wish it also explained the decision making process, how to understand from the picture what is the right answer.

I'm really getting lost between melanoma and seborrheic keratosis / nevus.

I went through ~120 pictures, but couldn't learn to distinguish those.

Also, the guide in the burger menu leads to a page that doesn't exist: https://molecheck.info/how-to-recognise-skin-cancer

replies(3): >>45159338 #>>45161189 #>>45167123 #
1. jgilias ◴[07 Sep 25 19:05 UTC] No.45161189[source]▶
Also came to the same conclusion. I want a mode where 50% of the set are melanomas, and the other 50% are “brown benign things”.
replies(1): >>45161687 #
2. sungam ◴[07 Sep 25 20:08 UTC] No.45161687[source]▶
Will add this in next version!