Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Your skepticism is partially correct and we've been pretty open about what we have and how we're applying ML. Lets take the example of getting all icons from a single category. If you choose the category food and your description contains "apple & bananas", it's not trivial to get an icon with an apple and banana unless you are using some sort of ML. Moreover, which fonts to put together is also not trivial. If we just start putting random stuff together, you'll be able to differentiate it pretty easily.

Now to your last point, we are working on something like that. We are training a deep learning architecture that creates logos from scratch, the stuff you are talking about. But we wanted to ship a simple yet decent product before we started working on more sophisticated stuff. In a couple of months, users will have option to select icons that are entirely generated by an AI engine.

I hope that clears some things. AI is being used in many places but there are also atleast 2-3 features that we're working on right now which will really exhibit the effectiveness of AI here.

Let me know if you wanna chat more about this. Happy to talk!



Some of the points you make were also brought up in the ShowHN post for 'My Brand New Logo', which similarly uses AI as it's USP. I would like to know, what differentiates your service?

https://mybrandnewlogo.com/

https://news.ycombinator.com/item?id=19076745


What we are doing different?

We are training a deep learning architecture that creates logos from scratch. But we wanted to ship a simple yet decent product before we started working on more sophisticated stuff. In a couple of months, users will have option to select icons that are entirely generated by an AI engine.


Doing a simple product before a more advanced is practical. I look forward to the more advanced, deep learning version!


You can follow us on twitter https://twitter.com/DesignwithAiHQ

For updates on our product.




Consider applying for YC's Winter 2027 batch! Applications are open till November 2.

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: