The model selects answers based on learned probabilities; for this type of question, the probability associated with "17" is relatively high, which is why it appears frequently.

I primarily use the built-in password manager on my iPhone. It’s very convenient; besides storing passwords, it allows for quick autofill when logging in and supports passkeys and 2FA.

I built a small MCP service tool to my own learning; it retrieves study materials and course content, enabling me to learn through voice-based interactive conversations with ChatGPT. logs my learning data, which I can then retrieve and analyze to assess my overall progress.

The UI looks incredibly sharp and the core problem you are solving is very real. Excited to see how the roadmap evolves!

Really dig the minimal approach here. Swapping the backend to libghostty is exactly the kind of clean architecture we need. Going to test drive this today.

LeetCode is just syntax in a vacuum. You don't really know a language until you try to structure a small MVP.

Yes, I did the same thing at the beginning.

Great model, but hitting the usage cap in 20 minutes makes it feel like a very expensive tech demo.

What subscription?

Max 5x. The 20 mins was an exaggeration, but the burn rate during actual execution is several times higher than Opus. The cap sneaks up on you really quick.

For the sync issue without an account, a simple JSON export/import, or generating a Base64 string as a custom URL parameter would work perfectly. Seamless cross-device sync while keeping the zero-data-collection promise.

That's really good idea which I am getting multiple times from Show HN post. Never thought about it before. Would definitely do it next. Thank you very much!