Most creator tools today focus on analytics and suggestions. We wanted to explore something...
Growati automates YouTube post-production (titles, descriptions, thumbnails, chapters) via frame-by-frame video analysis and a BullMQ-based orchestration pipeline, currently in beta with 10+ users and 500+ synced videos. For teams managing video content at scale, it signals a shift from AI-assisted suggestions to end-to-end metadata automation, reducing post-production overhead without adding dashboard complexity.
Most creator tools today focus on analytics and suggestions.
We wanted to explore something different:
What if YouTube post-production could actually be automated?
We’ve been building Growati, a system that helps creators generate personalised:
titles
Hey DEV community! 👋 Ever wanted to turn your blog posts, documentation, or README files into videos...
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Every morning, a video goes live on my YouTube channel. I didn't film it. I didn't edit it. My...
Every "AI YouTube" tutorial ends the same way: sign up for ChatGPT Plus, then ElevenLabs, then...
After spending years watching YouTube's algorithm reward outrage over quality, I started looking for...
Let me tell you about the moment I knew we had a problem. We'd just shipped our content repurposing...
