Mike Shah ✓

YouTube @mikeshah Lifestyle (sociology) 📍 United States

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Subscribers

39.9K

🔥 Buzz rank

#11,352 ▼5907

Total Views

4.28M

Videos

931

Channel age

9 yrs

Est. monthly earnings

$19 – $36

How we estimate

~4.9K 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 ≈ $228 – $432. Excludes sponsorships, memberships & merch. Full methodology →

Known for

2.2K views Zen C - First Impression [Programming Languages Episode 41]

1.7K views Elegant D by Walter Bright - Opening Keynote - D Language Symposium 2026 - Talk 1 of 8

1.7K views C++ on courses.mshah.io | Modern Cpp Series

1.6K views Zen C - Livestream with the creator! [Programming Languages Episode 42]

▶️ Featured Video

2.2K views

📈 Performance

Typical video

194–823 views

Median 416 — the reliable floor a brand can expect, not just the headline average.

Upload rhythm

1.9× / week

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

609

Avg views / video

Avg likes

Avg comments

5.8%

Engagement rate

1.9

Uploads / week

4.6K

Lifetime avg / video

107

Views / subscriber

Shorts (recent views)

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

💡 Did you know?

🗓️Joined YouTube in 2016 — 9 years ago.

🏆Ranked #6,654 among all influencers on SocialDB.

🎯Top Lifestyle (sociology) influencer — #1,330 in the niche.

👁️Averages 609 views per video.

📤Posts about 1.9× per week.

💬5.8% engagement rate.

🚀Gained 100 subscribers in the last 7 days.

📍Based in United States.

🛡️ Audience credibility

54/100 Fair

Est. 72% real, active audience · Medium fake-follower risk.
Low view-through (~1.5%) — many subscribers don't watch, a sign of an inactive or inflated audience.
5.8% engagement — above the ~5% typical for this size.

Est. authentic audience

72%

Fake-follower risk

Medium

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 22% Female 78%

Age · peak 25-34

13-1710%

18-2429%

25-3433%

35-4418%

45+10%

Top geographies

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

Likely interests

EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands Mike Shah's audience is most likely to respond to — from detected sponsorships in this niche.

Amazon Affiliate

Keeps

Patreon

Shopify

Epidemic Sound

Surfshark

Incogni

Nebula

Genshin Impact

Audible

About

Teaching computer Science, primarily Modern C++, C, DLang, games, and computer graphics programming
I'm a teaching professor and Senior 3D Graphics Engineer who has worked in industry at various games and graphics companies.

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