... Launching on Product Hunt has always felt like a rite of passage for builders and on September 14, our team finally took that leap with GraphBit, our agentic AI framework built with Rust and Python. What made this special? It was our first-ever Product Hunt launch. No legacy audience. No prior community presence. Just a small, focused team and one week to prepare. Halfway through, we thought we may need a hunter to build our credibility as we were ... ... completely new in PH. Within two days, we found an incredible Hunter who believed in what we were building and advised us for going live: @byalexai The Challenge Our top competitor

... between natural dialogue and awkward pauses. These models are often architected for immediate response but may sacrifice some prosodic quality for speed. High fidelity models like Dia 1.6B and Coqui XTTS take the opposite approach: processing entire text passages to optimize for naturalness, emotion, and overall speech quality. They're ideal for content creation, audiobook narration, or any application where the extra processing time translates to noticeably better output quality. This architectural difference explains why you'll see such ... ... responsiveness users experience. For context, human conversation typically has response delays under 200ms, so TTFB figures above this threshold start to feel unnatural in conversational AI. However, TTFB only tells part of the story: total processing time for longer passages