Turn tables into AI chatbots for your website & social media
AlTable.ai is Airtable + Chatbase. Turn tables into Al chatbots and deploy it on any channel to 5x your conversion. With AITable, you can build: 📟 chat widget on your websites 💬 AI bots on social media (WhatsApp, Slack, Discord) 💻 API systems for AI agents
I am Kelly Chan, Co-Founder an CEO of AITable.ai. AITable.ai is an innovative no-code AI platform that combines the best of Airtable and Chatbase. It empowers users to turns tables into AI agents effortlessly, with just a single click. AITable.ai features an AI Copilot widget that can be added to websites for enhanced user interaction. It also provides integrations with various platforms, making it versatile and adaptable to different needs. Additionally, the platform offers resources for buildi
Congrats on the launch team! I have always been a huge fan of AirTable but connecting it with ChatGPT through Zapier or custom API has been tedious. So glad to see another powerful product launch that can make my work much more productive!
To any questions that I ask on the website, it just responds: "I cannot directly answer this question as a little AI, but my human colleague will reply to you. To ensure our team gets back to you promptly, please fill out the form below." Not much to showcase here, is it because you don't demo your bot's full abilities or is your bot out of service? Because even a basic GPT with browsing functionality could answer a question I asked about your website. And your specially trained bot couldn't. Lo
Wow! @kelly Chan. what a beautiful solution you have developed. congratulations on your lunch.
🚀Great tool, congrats on the launch!!
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.