Submit your cover letter and get demolished by Coda AI
Meet Ubel, the most sarcastic and unapologetic recruiter who’s just not having it with your bs job applications anymore. You can try impress them with your puny little GPT-written letter. But get ready for the feedback, Gordon Ramsay style. Built with Coda AI
@paul_danyliuk, I honestly can't thank you enough for giving life to Ubel :D ! It is exactly the kind of distraction from a "more than usual overwhelming life" I was looking for and an amazing time-waster. I truly enjoy annoying Ubel with my fake cover letters :D ! I don't know why or how exactly but I can say that it really helped me forget how stressful life can be and just for that, I am already generally grateful ! And... that's not all ... I've been struggling to find my way in this "AI" wo
Super awesome product! the responses are hilarious😂. Awesome work
Best of luck Paul! It’s nice to have some humor in the AI world!
Hey you all cool cats and kittens! I’m Paul, a Coda maker and Community Champion. Recently I participated in the Coda-organized hackathon, Coda’s AI for Work challenge. One of the submissions I made for it is this gem 😁 and Today I’m excited to share it with you. Honestly, this one was not in the plans. When I set out to find a non-cliche idea for the hackathon, one of them was a rejection letter generator. It seems like everyone is always building AI solutions for positive cases: meeting summar
Impressive! Check my site wikigpt3.com and email me your app details and I can help get your app listed on my directory and other 100+ AI directories. Feel free to reply if you want to know more. ..
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.