Machine Learning Street Talk

Machine Learning Street Talk

YouTube @machinelearningstreettalk Lifestyle (sociology) 📍 United Kingdom
Subscribers
217K
🔥 Buzz rank
#43,134 ▼31298
Total Views
12.76M
Videos
334
Channel age
6 yrs
Est. monthly earnings
$415 – $800
📊 Content format · share of recent views
2%
▶️ 98%
⚡ Shorts 2%  ·  ▶️ Long-form 98% — brands place & price integrations differently across the two.
How we estimate
~109.8K recent monthly views × an estimated ad RPM of $3.85–$7.43 per 1,000 views — adjusted for Lifestyle (sociology) content and a GB audience. About 2% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $5K – $9.6K. Excludes sponsorships, memberships & merch. Full methodology →

Known for

▶️ Featured Video

160.7K views

📈 Performance

Typical video
5.2K–29.1K views
Median 17.6K — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
/ week
Most active on Wednesdays — consistent output keeps an engaged, sponsor-ready audience.
26.7K
Avg views / video
832
Avg likes
111
Avg comments
3.53%
Engagement rate
1
Uploads / week
38.2K
Lifetime avg / video
59
Views / subscriber
2%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2020 — 6 years ago.
🏆Ranked #3,241 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #552 in the niche.
👁️Averages 26.7K views per video.
📤Posts about per week.
💬3.53% engagement rate.
📱2% of recent uploads are Shorts.
🏅Earned the Silver Play Button for passing 100K subscribers.

🛡️ Audience credibility

90/100 Excellent
  • Est. 93% real, active audience · Low fake-follower risk.
  • Healthy view-through — roughly 12% of subscribers watch each video.
  • 3.53% engagement — above the ~3.5% typical for this size.
Est. authentic audience
93%
Fake-follower risk
Low

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

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

Gender split
Male 18% Female 82%
Age · peak 18-24
13-177%
18-2431%
25-3430%
35-4420%
45+12%
Top geographies
  • United Kingdom44%
  • United States18%
  • Ireland5%
  • Australia5%
  • Canada4%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands Machine Learning Street Talk's audience is most likely to respond to — from detected sponsorships in this niche.

Amazon Affiliate Keeps Patreon Shopify Nebula BetterHelp Audible Surfshark Genshin Impact Incogni

About

MLST is the leading highly technical AI podcast. Subscribe now! Welcome! We bring you the latest in advanced AI research, from the best AI experts in the world. Our approach is unrivalled in terms of scope and rigour – we believe in diversity of ideas (which is to say, not just LLMs!) and we also cover other promising alternative paths to AGI, as well as CogSci, CompSci, Neuro, Mathematics, Philosophy of Mind and Language.

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