Bismayy Mohapatra

Deepgram outperforms Google Speech-to-Text and AWS Transcribe for our interview transcription needs with higher accuracy for diverse accents and technical terminology (95%+ vs 85-90%). Unlike Whisper, Deepgram processes speech in real-time with minimal latency (200-300ms), which is crucial during interviews. Assembly AI was competitive but didn't match Deepgram's performance with background noise in typical video call environments.

We preferred Canva over Adobe Creative Suite for its significantly faster learning curve and team collaboration features. Unlike Figma which focuses on UI/UX design, Canva offered ready-made interview-themed templates that accelerated our marketing efforts. While Piktochart has similar functionality, Canva's broader template library and more intuitive interface helped us create professional marketing materials without dedicated design resources.

We chose OpenAI over alternatives like Cohere and Anthropic because OpenAI's models provide faster response times (under 2 seconds) and more natural conversational abilities essential for live interview assistance. Unlike Google's PaLM, OpenAI handles nuanced professional context better, delivering more relevant interview talking points. Their reliability at scale and comprehensive documentation also made implementation significantly easier compared to building with open-source models like Llama.