Yasser
@yasser_elsaid_ • 58,055 subscribers
Founder of @chatbase
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We just crossed $10M in ARR at Chatbase! 🎉 🎉 And today, we're launching Chatbase as the full harness for customer-facing AI agents. Similar to how Claude code is a harness for coding agents, Chatbase is the harness for customer experience agents. That means we give the model the context, tools, workflows, guardrails, and human-in-the-loop systems to be the best ambassador for your brand. It's going beyond just solving issues and is giving your customers the best experiences across every channel. This is a milestone I have been thinking about and obsessed with since day 1, and I am super excited to bring my vision for customer facing agents to life with Chatbase. Thank you to every one of our customers and to the amazing Chatbase team for getting us here! Next stop: $100M ARR
Yasser808,455 views • 2 months ago
✅Build a great product ✅Talk about it in public ✅Talk to your customers ✅Tell their stories This is a full customer story with Opal on how they're using Chatbase. Kenneth Schlenker on choosing Chatbase: "We wanted to figure out what parts we can automate with high quality self-serve, and what parts need personal human support. Chatbase has been a great partner for us to do that." It's super impressive what they've been able to build and how much they care about customer experience. I am a very happy user of Opal too, it's my secret to locking in.
Yasser322,556 views • 2 months ago
Today, @Chatbase crossed $8M in ARR. 100% bootstrapped. What started as a side project has grown into a platform trusted by over 10,000 customers. This milestone kicks off the next chapter of Chatbase. Building an AI agent that will become your customer-facing cofounder.
Yasser471,691 views • 7 months ago
Today, we’re announcing the Chatbase x Shopify integration. Shopify brands can now have an AI agent that: • Answers product questions • Pulls real-time order status • Recommends products to drive conversions • Escalates to a human when needed Chatbase just built your shopping assistant, support agent, and sales associate, all in one.
Yasser212,460 views • 4 months ago
Today, we're launching Chatbase Widgets. Here is why we built this: A year ago, AI chatbots only answered simple FAQs. Today, Chatbase agents update subscriptions, schedule appointments, recommend products, and much more. As conversations become more complex, plain text isn't enough. Nobody wants to read a wall of text. Chatbase Widgets are rich, visual components your customers can interact with. Instead of explaining the flight status, it shows a boarding pass. Instead of listing available slots, it opens a bookable calendar. Instead of describing the item, it pulls up the product card. And you can build any widget for your business using our Widget builder! Link to sign up to Chatbase in the comments!
Yasser14,868 views • 1 month ago
> Define an API > Tell the agent when to call the API > Set it live > It verifies the logged in user and makes API calls with their user_id > The user can do anything on your app by asking the AI Agent I think a lot websites and apps will have this option in 2025, instead of clicking on the screen to do something, just ask the agent. "Book a room for me for three days." "Show me the analytics for the past 30 days." "Sell my TSLA stock when it reaches $500." Here is an action that upgrades a subscription in a demo music app built with v0
Yasser55,715 views • 1 year ago
Introducing @Chatbase over email! The same Chatbase agent that already understands your business and resolves customer questions in chat can now be deployed on your support email. Want to see it in action? Email us at giftChatbase.co for a special present from Chatbase🎅.
Yasser24,931 views • 6 months ago
Today, we're announcing content suggestions in Chatbase. Your agent can now self-improve by analyzing unresolved issues from past conversations, reviewing training data to surface conflicting information, then suggest improvements to fix any issues. Agents always fail in production unless they can learn from what went wrong. Missed answers, unresolved threads, and inconsistent knowledge. This is the missing layer that makes agents production-ready: continuous self-improvement.
Yasser13,607 views • 5 months ago