TattooCover helps you turn an old tattoo into a clearer plan. Upload a photo, choose a style direction, create an artist-ready brief, and explore an AI-assisted concept to discuss with a tattoo professional.
Turn a nail idea into an AI-generated design, then preview a look on your own hand photo. Explore colors and finishes before your salon visit and save the result as a visual reference.
I'm building Answerly, an AI help center that turns existing documentation into direct answers with links to the source articles. It also generates an llms.txt file for your docs.
Before we launch, I'd love to learn how other founders and support teams handle a familiar problem: a user searches the help center, reads a few articles, and still ends up asking the same question in chat or email.
Where does this happen most often for your product? Is it hard-to-find articles, outdated docs, unclear answers, or something else? If you've found a way to fix it, I'd love to hear what worked.
