Meta Muse Code & Muse Spark Course – Build AI Agents, APIs, and Full-Stack Apps
Published August 26, 2026
At a glance
Views
73,080
Likes
540
Comments
10
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Learn how to build full-stack applications and autonomous AI workflows using Meta's Muse models and the Muse Code coding harness. Andrew Brown guides you through model architecture, structured outputs, search grounding, and programmatic API integrations with SDKs like LangChain. You will also master advanced developer …
- Published
- August 26, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Meta Muse Code & Muse Spark Course – Build AI Agents, APIs, and Full-Stack Apps is doing
It has 73.0K views in total. It ranks #12,814,376 among tracked YouTube videos by views.
Key facts about Meta Muse Code & Muse Spark Course – Build AI Agents, APIs, and Full-Stack Apps
- Total views
- 73.0K
- Total likes
- 540
- Total comments
- 10
- Published
- August 26, 2026
- Global rank by views
- #12,814,376
Frequently asked questions
How many views does Meta Muse Code & Muse Spark Course – Build AI Agents, APIs, and Full-Stack Apps have?
Meta Muse Code & Muse Spark Course – Build AI Agents, APIs, and Full-Stack Apps has 73,080 views, 540 likes and 10 comments, ranking #12,814,376 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.