Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
It definitely increases my productivity.
It's fast - but for an API, not the fastest speech-to-text. For a long while I hadn't done research and trusted them. Then tried Whisper and Picovoice. On-device latency is nothing comparable with cloud APIs. If latency is important go with Whisper or Picovoice. If customization is also important go with Picovoice.
don't get me wrong it's still faster than amazon, Microsoft or Assemblyai
Based on our record, GitHub Copilot seems to be a lot more popular than Deepgram. While we know about 317 links to GitHub Copilot, we've tracked only 31 mentions of Deepgram. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Tools like GitHub Copilot, Cursor, and even ChatGPT itself can help developers generate, debug, and optimize code faster than ever. - Source: dev.to / 5 days ago
Iโve spent quite some time experimenting with different AI coding assistants. GitHub Copilot and Cursor have been my primary tools in the past. Copilot is great for inline completions but still struggles with deeper code context. Cursor can understand the entire project context and is a powerful coding companion. - Source: dev.to / 7 days ago
GitHub Copilot remains the most widely used AI coding assistant, with over 20 million users and adoption in 77,000+ organizations, powering 40% of GitHub's $2B annual recurring revenue. It integrates deeply with VS Code, Visual Studio, JetBrains IDEs, and now expanded to Eclipse, Xcode, and terminal environments like GitHub CLI. - Source: dev.to / 8 days ago
General copilots like GitHub Copilot X or Google Gemini Code Assist work across many languages and frameworks, making them everyday companions for most developers. - Source: dev.to / 9 days ago
GitHub CoPilot if you're storing everything in the GitHub Repositories which is my personal platform of choice. - Source: dev.to / 29 days ago
Start by hooking up speech-to-text (STT) using something like OpenAIโs Whisper if youโre going open source, or Deepgram if you want a super-accurate plug-and-play API. - Source: dev.to / 5 months ago
Deepgram specializes in real-time transcription optimized for specific industries and use cases. - Source: dev.to / 7 months ago
Customer service teams see immediate benefits. AI tools like Deepgram donโt just transcribe calls; they analyze sentiment, flag complaints, and identify patterns. Deepgram charges $1.25 per hour of audio, meaning 50 hours of customer calls costs $62.50โa fraction of traditional pricing. With this data, businesses can refine strategies, solve problems faster, and improve customer satisfaction. - Source: dev.to / 10 months ago
For $5 for 20 hours of audio you can try https://deepgram.com. They give $200 of credit. - Source: Hacker News / over 1 year ago
Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / almost 2 years ago
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