Chatter

Chatter discovered genuine demand when engineers started manually sharing prompt templates across Slack channels—a behavioral signal that the problem was real enough to solve without tooling. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌The founding team measured interest by tracking how many developers forked their open-source prompt testing repository within the first month, reaching 2,000 stars in six weeks. Early traction emerged when three Fortune 500 companies independently requested beta access after seeing a single demo video, without any outbound sales effort. The strongest evidence came from QA teams spending 15+ hours weekly in spreadsheets comparing LLM outputs across models—a painful workaround that proved the gap between existing tools and actual needs. When Chatter released a minimal version supporting just two model families, teams immediately began writing test cases and running daily iterations, generating 40% week-over-week growth in active projects. This organic adoption, driven by engineers solving their own workflow problems rather than responding to marketing, validated that Chatter addressed a genuine operational bottleneck in LLM development.