Chinese vlogger builds a real 'Green Goblin' hoverboard & flies it across the Yangtze
Published October 19, 2026
At a glance
Views
622,381
Likes
17,357
Comments
1,006
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Song Xingyu, a self-taught Gen Z vlogger from Badong in China's Hubei province who posts as Shenqi Ayu, has built a rideable hoverboard inspired by the Green Goblin's glider in Spider-Man and flown it across the Yangtze River. After his first five-turbojet prototype caught fire, he rebuilt it around ten brushless elect…
- Published
- October 19, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Chinese vlogger builds a real 'Green Goblin' hoverboard & flies it across the Yangtze is doing
It has 622K views in total. It ranks #7,579,921 among tracked YouTube videos by views.
Key facts about Chinese vlogger builds a real 'Green Goblin' hoverboard & flies it across the Yangtze
- Total views
- 622K
- Total likes
- 17.3K
- Total comments
- 1.00K
- Published
- October 19, 2026
- Global rank by views
- #7,579,921
Frequently asked questions
How many views does Chinese vlogger builds a real 'Green Goblin' hoverboard & flies it across the Yangtze have?
Chinese vlogger builds a real 'Green Goblin' hoverboard & flies it across the Yangtze has 622,381 views, 17,357 likes and 1,006 comments, ranking #7,579,921 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.