Daniel Gauci

The voice AI opportunity is here—but solving the last 20% is where the real challenge lies (with @zammitjames and @dan_gauci from Roark AI) - Voice AI is becoming the new frontier with companies like Roark building "datadog for voice AI" to help developers debug their agents - Popular use cases include lead generation (outbound sales calls) and appointment scheduling for industries like dental clinics and car dealerships - Getting to 80% functionality is easy, but the last 20% is where voice agents struggle significantly - Major issues: 30% of transcriptions are incorrect (some companies hire humans to manually transcribe), conversations deteriorate over time, and tool calling is notoriously inaccurate - Voice agents have trouble recovering when conversations go off-script, leading to hallucinations and poor user experiences

.@RoarkAnalytics helps teams test and debug voice AI agents using real production calls. Replay past conversations, catch failures, and ensure your AI works before it goes live - no more manual testing. ycombinator.com/launches/Mnq-r… Congrats on the launch, @zammitjames + @dan_gauci!