Youtube Toolkit / YouTube Stats / Speed Records
@speedrecords · 13.8K videos · 13 years
Last updated Oct 24, 2026
Subscribers
48.9M
#55 worldwide
Total Views
38.0B
37,962,555,716
Est. Monthly Rev.
$2,940
Estimate only
Views (last 30 days, recent uploads)
3.7M
50 uploads in last 30 days
Avg. views / video
73.5K
From latest 50 uploads
Engagement rate
1.05%
(Likes + comments) / views
Est. monthly revenue
$2,940
$1,470 – $4,410 range
Latest video · Shorts
Aura farming? They own the farm 😎🔥 | Jatt Te Jawani | Dilpreet Dhillon x Karan Aujla #ShortsWhere this channel's recent views actually come from.
Shorts usually bring reach, long-form usually brings watch time and revenue. A healthy channel normally earns most views from the format it uploads most.
| Date | Subscribers | Views | Views change | Est. earnings |
|---|---|---|---|---|
| 24 Oct 2026 | 48.9M | 38.0B | No data | $98.01 |
We store one snapshot per day when this dataset refreshes, so this history grows richer every day — the same way vidIQ and Social Blade build their growth charts.
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Good to know
Speed Records (@speedrecords) currently has 48.9M subscribers and 37,962,555,716 total views across 13,752 public videos, and the channel has been on YouTube since November 2012. In our worldwide ranking of the biggest channels, it sits at #55.
The four tabs above break this channel down the way creators and brands actually research competitors: Overview shows recent momentum (views from the latest uploads, engagement rate and an earnings estimate), Videos lists the newest uploads with Longs and Shorts separated, About collects the channel's joined date, country, category and description, and Similar channels surfaces comparable channels in the same niche.
The estimated monthly revenue is a range, not an exact figure — YouTube never discloses creator income. We calculate it from this channel's recent view volume and an RPM range typical for its content category. Sponsorships, memberships and other off-platform income are not included, so treat the number as a conservative benchmark for comparison rather than a salary.
The same method vidIQ and Social Blade use — no scraping, no guesswork:
We keep our own channel index
A curated list of the world's biggest channels across every country and category. YouTube has no public "top channels" API, so every stats site maintains its own index.
We fetch public stats daily
Once a day we call the official YouTube Data API (channels.list) for every channel in the index and record subscribers, total views and video count.
We rank and estimate
Channels are sorted by subscriber count. Earnings are estimated from recent views and category-based RPM ranges — always shown as an estimate, never as exact income.
Everything is cached for 24 hours
Pages load instantly from cache and numbers refresh once a day, so the data you see is never more than a day old.
Quick answers about this data and how to use it.
