Programmieren lernen ✓

YouTube @programmierenlernen Lifestyle (sociology) 📍 Germany

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Subscribers

305K

Total Views

35.32M

Videos

594

Channel age

6 yrs

Est. monthly earnings

$440 – $850

📊 Content format · share of recent views

⚡ 19%

▶️ 81%

⚡ Shorts 19% · ▶️ Long-form 81% — brands place & price integrations differently across the two.

How we estimate

~141.2K recent monthly views × an estimated ad RPM of $3.85–$7.43 per 1,000 views — adjusted for Lifestyle (sociology) content and a DE audience. About 19% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $5.3K – $10.2K. Excludes sponsorships, memberships & merch. Full methodology →

Known for

40.5K views Alle Betriebssysteme einfach erklärt – in nur 25 Minuten

37.1K views Windows stirbt – Kann Microsoft es noch retten?

33K views Dein PC ist ein Botnet – und du merkst es nicht!

31.4K views Welche Software wurde womit programmiert? #programmierenlernen #software #softwareentwicklung

▶️ Featured Video

40.5K views

📈 Performance

Typical video

4.4K–15K views

Median 6.6K — the reliable floor a brand can expect, not just the headline average.

Upload rhythm

3× / week

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

11.2K

Avg views / video

382

Avg likes

Avg comments

3.8%

Engagement rate

Uploads / week

59.5K

Lifetime avg / video

116

Views / subscriber

19%

Shorts (recent views)

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

💡 Did you know?

🗓️Joined YouTube in 2020 — 6 years ago.

🏆Ranked #3,089 among all influencers on SocialDB.

🎯Top Lifestyle (sociology) influencer — #514 in the niche.

👁️Averages 11.2K views per video.

📤Posts about 3× per week.

💬3.8% engagement rate.

📱19% of recent uploads are Shorts.

🏅Earned the Silver Play Button for passing 100K subscribers.

🛡️ Audience credibility

78/100 Good

Est. 86% real, active audience · Low fake-follower risk.
3.8% engagement — above the ~3.5% typical for this size.

Est. authentic audience

86%

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 19% Female 81%

Age · peak 18-24

13-1711%

18-2430%

25-3429%

35-4419%

45+11%

Top geographies

Germany54%
Austria10%
Switzerland7%
United States6%
United Kingdom3%

Likely interests

EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

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

Keeps

Amazon Affiliate

Patreon

Shopify

Epidemic Sound

Nebula

Surfshark

Incogni

Audible

Genshin Impact

About

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Geschäftsführung: Manuel Thaler, Junus Ergin

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