Developer here, I love using ChatGPT and Perplexity finance but both of them have serious issues with out-dated data. Trying to address that by leveraging real time data and building an agent on top of it. Happy to answer any questions.
Developer here: Lots of apps around mock interviews with AI, and some around filtering as well, so this is not a new idea.
But a lot of the existing apps are not super easy to use, and come with a lot of restrictions and paywalls. With LLMs getting so cheap in 2024, I don't think it costs a lot on my end to offer this for free for quite some time, atleast to all consumers.
As for the business side, every friend of mine that owns a company has this pain point that they spend way too much time going through job applications, so that's a genuine problem I'm trying to solve here.
Tailwind actually. Not really since the backend covers for that. As long as you can provide it instructions in plain english, it does a decent job of building that design. And if you don't like it, you can always edit it in various ways - by asking the AI, by using a UI editor, or by changing the HTML code itself.
Developer here. I have to spend a lot of time developing frontends which is not what I like since I am a backend engineer. To that end, developed this tool that uses GPT4 and GPT4 vision to convert user queries & images into HTML code.
Happy to answer any questions. Would appreciate feedback since we just launched yesterday.
We initially labeled a small sample of gradient colors which we bootstrapped to create our initial classifier. We did a few tuning iterations until the product was ready.
Founder here. Happy to answer any questions you people might have. We built this tool for developers and designers who want to find great gradient colors from a single color. A random forest algorithm is used to find the best possible colors for you based on thousands of candidates. We'd love for everyone to give it a try.
I don't disagree with you at all. As mentioned in some other comments, our initial goal wasn't to generate perfect logos like professional designers. It was to let new startup founders who can't pay much buy a decent logo.
And we're not stopping here, no way! We are working on some features that will create a lot of stuff from scratch based on several deep learning architectures. We are excited to work on those features and we hope you'll like them once they are done.
Again, the goal is not to replace designers. The goal is to complement them or give founders a tool to get a decent logo in a few bucks. Happy to talk more.
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.
Honestly speaking, having worked on over 8-10 ML and DL projects in last 4 years, I am quite aware of the fact that the term "AI" is used at places where it shouldn't be used.
The term "AI" in our product comes from the fact that in long term, we actually want AI to create entire logos/icons/fonts and we're actively working on this right now. Most of our current models use Conv Nets, Word Embeddings, and Random Forests which still atleast come under the category of AI.
The reason I have been trying to explain everyone about the inner workings of our product is to demonstrate that we're indeed using different ML systems and they actually make sense where they're used.