Chatbase

Yaser posted what was only his third tweet ever to his 16 Twitter followers — a short demo video of Chatbase showing a streaming chat interface (mimicking the familiar ChatGPT UI) that could answer questions from uploaded data. The demo was engineered for speed-to-aha-moment: within 20 seconds viewers could see exactly what it did. Crucially, he named the underlying tools he used — LangChain, Pinecone, and other nascent AI infrastructure providers — which gave those companies an incentive to reshare since they were all new and hungry for real-world usage examples. The retweets from those companies created a viral loop that pushed the tweet far beyond his 16-follower base. After that initial spike, Yaser treated every subsequent feature release as a fresh top-of-funnel launch, framing each tweet so that someone with zero context could understand it without needing prior knowledge of Chatbase. He also rode the ChatGPT API launch news cycle: when OpenAI released their chat completions API, he published a tweet saying "in the last 48 hours I built this" — piggybacking on the massive organic conversation already happening around the new API. This second viral moment brought another wave of new users.

No traditional unfair advantage — he had only 16 Twitter followers. His edge was timing: he built Chatbase before the ChatGPT API existed, so when OpenAI launched it he had a fully working product and a newsworthy hook. He also understood that nascent AI infrastructure companies (LangChain, Pinecone) were desperate for real-world use-case visibility, making them willing amplifiers.

twitter_viral_demo_with_tool_mentions

No channels explicitly called out as failures. He implied early build-in-public posting gets no traction for the first 2-3 months and requires persistence before it compounds. He also notes he was "not aggressive enough" early on and held back growth by thinking too small.