molecheck

Learning and science

medical education

SHOW HN2025

Legend

molecheck

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

molecheck.info

#skin cancer#melanoma detection#dermatology education#mole check

429points
259comments
#103of 3,837 in 2025
Top 3%of 2025 by points

How HN took it

DebatedReal support and real criticism

24 positive, 35 neutral or asking, 6 mixed, 27 critical, out of 92 comments about the project. Thread score +0.05.

Idea: 12 for, 7 againstExecution: 1 for, 10 againstDesign: 0 for, 4 againstDocs: 0 for, 1 againstPerformance: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Useful for learning to spot skin cancer

    From 3 comments
    • This is awesome. Great use of AI to realize an idea. Subject matter experts making educational tools is one of the most hopeful things to come out of AI. It’s just a bummer that…
      DrewADesign on HN
    • This is awesome! After about 50 attempts, I have a much better sense of what to look out for when I see something. I wish there were more such focused apps. for specific specific…
      dhruvbird on HN
    • Thanks - I'm glad you found it useful! I have been meaning to make it for many years but could never justify the time involved until AI made it possible.
      sungam on HN

Objections

  • Image set is skewed toward skin cancers, not realistic proportions

    From 3 comments
    • Very cool. I learned a lot as a non dermatologist but someone with a sister who has had melanoma at a very young age. I went from 50% to 85% very quickly. And that’s because most…
      jjallen on HN
    • What you created is a version of “am I hot or not” for skin cancer. The idea is constrained to the limitations of your programming capability. Showing a photo and creating 3…
      lazarus01 on HN
    • Dude, everything is “I am concerned.”
      lvl155 on HN
  • Missing guide link is broken and lacks diagnostic guidance

    From 1 comment
    • 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…
      vindex10 on HN
  • Some cancerous images look benign and labels may be wrong

    From 1 comment
    • Is this really "invasive melanoma"? https://drmagnuslynch.s3.eu-west-2.amazonaws.com/isic-images/ISIC_0024270.jpg
      meindnoch on HN

Requests

  • Balance benign and malignant images 50:50

    From 2 comments
    • Thanks, this is a good point - I think a 50:50 balance of cancer versus harmless lesions would be better and will change this in a future version. Of course in reality the vast…
      sungam on HN
    • Yes you are right - the representation is biased due to the image dataset that I have used. I don't think it would be useful to match the population distribution since the…
      sungam on HN
  • Add explanation of how to diagnose and a guide article

    From 2 comments
    • This is very helpful feedback. I will add some more information to help with the diagnosis and add an article in the burger menu with detailed explanation. Being honest I didn't…
      sungam on HN
    • Yes I need to add this along with a tutorial on skin cancer diagnosis. Honestly wasn't expecting anyone to use the app so just did the basics!
      sungam on HN
  • Include lesion size or scale information

    From 1 comment
    • I like the project! Congrats on the launch. As I understand it, size is one of the key indicators of melanoma. But in some of these images, it’s difficult to tell whether the…
      andreasgl on HN

Questions

  • Is there a reputable AI model for detecting skin cancer?

    From 1 comment
    • Is there any reputable (reviewed, endorsed) AI model to detect skin cancer? I have a lot of similar moles, and playing with this app make me concern about all of them.
      toledocavani on HN
  • How does the decision process work for telling melanoma from other lesions?

    From 2 comments
    • 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…
      vindex10 on HN
    • I'm a doctor too and would love to hear more about the rationale and process for creating this. It's quite interesting to have a binary distinction: 'concerned vs not concerned',…
      lukko on HN

Alternatives named

  • Earlier skin cancer learning app built by another commenter

    From 1 comment
    • I made a quite similar app 7 years ago. https://melanoma.jenevoldsen.com/ May have been in the training data.
      johannes_ne on HN
  • ChatGPT or general AI models for image diagnosis

    From 2 comments
    • Not tried but my guess is ChatGPT will be quite accurate but get a small proportion wrong. The challenge with skin cancer is that we cannot afford to miss even 1:10,000 cases
      sungam on HN
    • Lots of models out there but I would not trust any for diagnosis without review of a dermatologist yet. The challenge is unanticipated edge cases and managing…
      sungam on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

Add a badge to your READMEShown on HackerShow
[![Shown on HackerShow](https://hackershow.org/badge.svg)](https://hackershow.org/show/45157020)