Introducing Gptify.io - create AI chatbots effortlessly! Train on your data (docs, videos, sites), embed with a single script. Perfect for customer support, sales, education and much more. Try now: https://gptify.io Unlock the power of AI chatbots!
Build, customize & embed AI chatbots easily
Introducing Gptify.io - create AI chatbots effortlessly! Train on your data (docs, videos, sites), embed with a single script. Perfect for customer support, sales, education and much more. Try now: https://gptify.io Unlock the power of AI chatbots!
Hey Hunters! 🎉 We're excited to unveil Gptify.io, a game-changing platform that lets anyone create and embed AI chatbots from their own custom knowledge and data without coding! 🔥 Train AI chatbots on your own knowledge using various source formats (docx, txt, PDF, CSV), YouTube videos, or even websites. Embed them anywhere with just one line of script, and customize their appearance to match your brand's identity. 💼 Ideal for customer support, sales, education, HR, legal processes, e-commerce,
Congratulations on launching Gptify.io, it sounds like an amazing platform! I love that anyone can create and embed AI chatbots without coding. Looking forward to trying it out and seeing how it develops!
Great product- Congrats on the launch! Is there any limit on the number of written content (pdf, doc) that I can upload to train the bot?
Very impressive , love the idea of customizing the appearance with the brand identity. Can't wait to try !!
Hi, would it also be possible to use gptfy as interface for ChatGPT itself. (And not train it on custom data.) So instead of users having to sign up with openai, the chatbot would deliver the same results. (Preferably with some rate limitations.)
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.