MLT Artificial Intelligence✓

YouTube @mltokyo Lifestyle (sociology) 📍 United States

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🔄 Data last refreshed 15 hours ago

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Subscribers

11.1K

🔥 Buzz rank

#135,787 ▲10

Total Views

329.8K

Videos

150

Channel age

8 yrs

Est. monthly earnings

$6 – $13

🎁 Free analysisfor MLT Artificial Intelligence

🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

How we estimate

~1.7K recent monthly views × an estimated ad RPM of $3.85–$7.43 per 1,000 views — adjusted for Lifestyle (sociology) content and a US audience. Yearly ≈ $72 – $156. Excludes sponsorships, memberships & merch. Full methodology →

Known for

18.8K views Transformers with Lucas Beyer, Google Brain

7.3K views Deep Learning with Python: What is deep learning? (Chapter 1)

6.7K views A rigorous introduction to probability theory: Lecture 1 with Michal Fabinger

5.4K views A Practical Tutorial on Building Machine Learning Demos with Gradio

▶️ Featured Video

18.8K views

🎯 Reach quality

Subscriber activation · Strong

15.2%

Share of subscribers who watch a typical recent video (avg views ÷ subscribers) — the real reach behind the subscriber count, and a quick check on whether those subscribers are still active rather than a vanity number.

Recent vs all-time

-23%

Recent videos average 1.7K vs an all-time 2.2K/video — recent uploads run below the all-time norm — much of the lifetime views sit in an older catalogue.

📈 Performance

Typical video

415–1.5K views

Median 822 — the reliable floor a brand can expect, not just the headline average.

Upload rhythm

0.2× / week

Most active on Sundays — consistent output keeps an engaged, sponsor-ready audience.

1.7K

Avg views / video

Avg likes

Avg comments

2.53%

Engagement rate

0.2

Uploads / week

2.2K

Lifetime avg / video

Views / subscriber

Shorts (recent views)

Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Facts

🗓️Joined YouTube in 2018 — 8 years ago.

🏆Ranked #21,412 among all influencers on SocialDB.

🎯Top Lifestyle (sociology) influencer — #4,748 in the niche.

👁️Averages 1.7K views per video.

📤Posts about 0.2× per week.

💬2.53% engagement rate.

📍Based in United States.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split

Male 21% Female 79%

Age · peak 18-24

13-178%

18-2432%

25-3431%

35-4416%

45+13%

Top geographies

United States46%
United Kingdom8%
Canada7%
Australia4%
India5%

Likely interests

EntertainmentLifestyleTrending

🕵️ Fake follower check

Estimated

81/100

Excellent Credibility score

92%

Real Real audience

Low Fake-follower risk

High Data confidence

Est. 92% real, active audience · Low fake-follower risk.
Engagement (~0.2× of subscribers watch each video) is around typical for YouTube.
Verified account.
Established account (8+ years old).
2.53% engagement — around average for this size on YouTube.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

💚 Brand affinity

Estimated

Brands MLT Artificial Intelligence's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Shopify

Epidemic Sound

BetterHelp

Incogni

Surfshark

Saily

Nebula

Genshin Impact

Fiverr

About

Machine Learning Tokyo is an AI community dedicated to democratizing Machine Learning through Open Education, Open Source and Open Science. Led by Suzana Ilić.