Open-source AI Chat Widget with frontend and backend, integrated with your customized knowledge base on Notion. Streamline customer support, API documentation, guides, sales chat and more effortlessly.
Open Source AI Chat Support with Notion as knowledge base
Open-source AI Chat Widget with frontend and backend, integrated with your customized knowledge base on Notion. Streamline customer support, API documentation, guides, sales chat and more effortlessly.
Hey PH Folks, Why keep rewriting wrappers for ChatGPT/AI APIs to build chat applications? At Bulkpe, we've developed a chat AI widget with Notion as a knowledge base, solving queries for chat support, API docs, guides, etc. Our tool can seamlessly integrate a chat widget into your website and apps, efficiently addressing user inquiries. Backstory: Bulkpe is neobanking platform for businesses in India to automate payment collections and payouts. We get a huge number of customer queries and sales
Having worked with a chat app before, I know how much value this tool would add! congratulations on your launch @iam_sathya 100% recommending to other b2b and b2c brands!
This is an incredible initiative! This will address a critical need for streamlined customer support. To make this tool open-source is commendable. Integrating Notion as a knowledge base is a really smart move, making it easy for non-tech users to train the AI while offering developers the flexibility to customize the chat UI. The accessibility and cost-effectiveness of this solution are game-changers, especially for small businesses. Excited to see how this project evolves! 🚀
@iam_sathya Hey, I really like the idea behind Bulkpe's chat AI widget! It’s exactly what I've been looking for. Just a quick one—can non-tech folks set this up easily? I'm not super into coding, so wondering if that could be an issue for me.
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.