Sendbird's SmartAssistant – Your Widget to Effortless AI Chatbot

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Hello HN You would have noticed that OpenAI and Claude has made creating an AI chatbot immensely easy. But deploying the chatbot to hundreds of thousands of users in a secure and scalable manner be it in mobile or web applications is still a huge pain. Enter Sendbird’s Knowledge Base Bot, your new best friend in deploying AI-powered chatbots. This innovative tool provides a low-code React Widget that makes the chatbot integration into your services as easy as pie. With Sendbird’s infrastructure, the deployment of chat services becomes a smooth sail. Not only does it simplify the building process by natively integrating to OpenAI’s GPT3.5 and 4, but it also ensures that your chat services are secure, reliable, and scalable, irrespective of your application’s size or the user traffic. (We host over 300M MAU globally) Spend less time grappling with complex syntax and more time seeing your AI chatbots come to life. Swing by our [comprehensive tutorial]('https://sendbird.com/developer/tutorials/create-an-ai-chatbot') and get well-acquainted with this powerful, secure, and easy-to-implement tool. We offer [free developer plans]('https://sendbird.com') and an [interactive demo]('https://sendbird.com/products/demos/smartassistant-ai') here as well if you want to see it in action before you even try it!

Visit product View on Hacker NewsJul 22, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, user, new · Missing: mac, agents, macos

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Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

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