| ★ |  Why “Who Said What” Matters (EdgeTier) 🗣️ | | 835 | Estados Unidos | |
| 18 |  Introducing new products and model updates for Voice AI applications | | — | Estados Unidos | 88 |
| 19 |  AssemblyAI Voice Agent Report | | 1.2K | Estados Unidos | 88 |
| 12 |  The Metrics That Actually Matter | | 1.2K | Estados Unidos | 90 |
| 4 |  Granola on Speaker Identification & Meeting Context 🎙️ | | 1.2K | Estados Unidos | 92 |
| 2 |  The Future IS Speaker Identification 🚀 | | 1.1K | Estados Unidos | 93 |
| 11 |  Diarization Deep Dive: Why it ALWAYS matters | | 1.0K | Estados Unidos | 90 |
| 8 |  Good Transcription = Better Product Experiences (Granola) 🔑 | | 985 | Estados Unidos | 91 |
| 14 |  Evaluating Voice AI Apps: Time saved | | 968 | Estados Unidos | 88 |
| 3 |  CoLoop on Speaker Identification from Day 1️⃣ | | 957 | Estados Unidos | 93 |
| 5 |  Into the Future: Better Language Support 🌍 | | 946 | Estados Unidos | 92 |
| 7 |  3 Product Use Cases for Real-time (CoLoop) ⚡️ | | 936 | Estados Unidos | 91 |
| 20 |  The Future of Voice in Healthcare (Ona Health) | | 919 | Estados Unidos | 88 |
| 17 |  Clinical Context vs. LLM Hype | | 906 | Estados Unidos | 88 |
| 6 |  Post-call processing with CoLoop 🛠️ | | 837 | Estados Unidos | 92 |
| 1 |  Real-Time vs Post-Call: Behind EdgeTier's Architecture 💡 | | 778 | Estados Unidos | 93 |
| 15 |  Privacy by design: Building Earmark | | 716 | Estados Unidos | 88 |
| 13 |  Meet the Voices Shaping the Future of Voice AI 🎙️ | | 532 | Estados Unidos | 89 |
| 10 |  Voice AI: Beyond Transcription with Granola, CoLoop & EdgeTier | | 398 | Estados Unidos | 90 |
| 16 |  Evaluating Voice AI Apps: User feedback + other signals | | 293 | Estados Unidos | 88 |
| 9 |  What Actually Matters in Healthcare Voice AI (Ona Health) | | 226 | Estados Unidos | 90 |