Cursor Reviews

Deepgram Reviews

1. suz11

   about 3 years ago
   Fast

   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

   🏁 Competitors: Picovoice.ai, Google Cloud Speech API, AssemblyAI, Speechmatics, Microsoft Azure, Amazon

   👍 Pros:    Fast|Fast sales|A free demo|Supports multiple languages

   👎 Cons:    Slow support for free customers|Limited free version

Cursor mentions (9)

• As SpaceX deal looms, Cursor partners with Chainguard to secure open-source dependencies in AI-built code

  Cursor has spent the past week in headlines after confirming a partnership with SpaceX that could eventually lead to a $60 billion acquisition. The deal, for now, centres on training more capable coding models using SpaceX’s compute infrastructure. - Source: dev.to / 3 days ago

• How to Get Your First Tool Online

  The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 14 days ago

• I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.

  Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 14 days ago

• Tokens, Context, and Why Small AI Tasks Aren't Cheap

  If you don’t believe me, go to Google AI Studio, get you an API key, create a project, then open Cursor, add the key, add whatever model they have available to use, run a task and you will see how models like Gemini 3.5 or 2.5 Flash which gives you 5 Requests Per Minute and 20 Requests Per Day will scream at you with hitting a limit rate. - Source: dev.to / 21 days ago

• Use LLM for EDA licenses analysis

  Here is an example how to connect Prometheus DB to Cursor AI code editor. - Source: dev.to / 10 months ago

Deepgram mentions (34)

• Deepgram: $200 Free STT That Makes Voice Coding Actually Work

  Deepgram changed the maths. Their Nova-3 model does real-time streaming transcription fast enough that the text appears as you speak, not after. And the free tier gives you $200 in credit, which is roughly 12,000 minutes of transcription. That's a lot of talking before you pay a penny. - Source: dev.to / 2 months ago

• The 8 Best Platforms To Build Voice AI Agents

  Deepgram is a voice AI application creation platform. Developers can use its API to build audio apps with text-to-speech, speech-to-speech, and speech-to-text models. To experience and see how Deepgram works, visit the URL above and try the interactive, real-time voice demo on the home page. - Source: dev.to / 4 months ago

• From Cameras to Action: Real‑World Applications of Vision and Speech AI

  Modern ASR systems (such as Whisper, Deepgram, or custom domain-tuned models) are now robust enough to operate in factories, warehouses, and construction sites where noise floors routinely exceed safe listening levels. - Source: dev.to / 6 months ago

• The ultimate open source stack for building AI agents

  Start by hooking up speech-to-text (STT) using something like OpenAI’s Whisper if you’re going open source, or Deepgram if you want a super-accurate plug-and-play API. - Source: dev.to / about 1 year ago

• 10 Ways AI Can Speed Up your Mobile App Development

  Deepgram specializes in real-time transcription optimized for specific industries and use cases. - Source: dev.to / over 1 year ago