The role of AI in new product development | Ryan J. Salva (VP of Product at GitHub)
Published September 4, 2022
At a glance
Views
3,850
Likes
67
Comments
2
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Ryan J. Salva is the VP of Product at GitHub, where he led the incubation and launch of Copilot, which uses OpenAI to suggest code and entire functions in real time, right from your editor, and is changing the way we build software. Ryan is an experienced developer and product manager, with over a decade of experience …
- Published
- September 4, 2022
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How The role of AI in new product development | Ryan J. Salva (VP of Product at GitHub) is doing
It has 3.85K views in total. It ranks #15,069,771 among tracked YouTube videos by views.
Key facts about The role of AI in new product development | Ryan J. Salva (VP of Product at GitHub)
- Total views
- 3.85K
- Total likes
- 67
- Total comments
- 2
- Published
- September 4, 2022
- Global rank by views
- #15,069,771
Frequently asked questions
How many views does The role of AI in new product development | Ryan J. Salva (VP of Product at GitHub) have?
The role of AI in new product development | Ryan J. Salva (VP of Product at GitHub) has 3,850 views, 67 likes and 2 comments, ranking #15,069,771 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.