Code World_26 ✓

YouTube @code_world_2624

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Subscribers

🔥 Buzz rank

#91,740 ▼17395

Total Views

15K

Videos

Channel age

0 yrs

Est. monthly earnings

$1 – $2

How we estimate

~13.1K recent monthly views × an estimated ad RPM of $1.82–$3.51 per 1,000 views — adjusted for this niche. About 100% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $12 – $24. Excludes sponsorships, memberships & merch. Full methodology →

Known for

1.7K views Coder Life Not East 😔💔#polytechnic #polytechnicstudent #viral #engineering #codingshorts #coderlife

1.5K views Coder life { Error}..#polytechnic #polytechnicstudent #code#developer #engineering #ytshorts #viral

1.4K views we Create Jarviss || Iron Man ||#engineering #engineeringstudents #polytechnic#code#devloper #viral

1.1K views Error Not Easy To Solve...#coderlife #polytechnic #students #ytshorts #viral #error #engineering

📈 Performance

Upload rhythm

5.6× / week

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

545

Avg views / video

Avg likes

Avg comments

1.79%

Engagement rate

5.6

Uploads / week

501

Lifetime avg / video

940

Views / subscriber

100%

Shorts (recent views)

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

💡 Did you know?

🗓️Joined YouTube in 2026.

🏆Ranked #28,824 among all influencers on SocialDB.

👁️Averages 545 views per video.

📤Posts about 5.6× per week.

💬1.79% engagement rate.

🚀Gained 1 subscribers in the last 7 days.

📱100% of recent uploads are Shorts.

🛡️ Audience credibility

46/100 Fair

Est. 68% real, active audience · Medium fake-follower risk.
Views far exceed subscriber count — strong reach beyond their core base.
1.79% engagement — below the ~5% typical for this size.

Est. authentic audience

68%

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 50% Female 50%

Age · peak 25-34

13-179%

18-2428%

25-3432%

35-4417%

45+14%

Top geographies

United States34%
India11%
United Kingdom8%
Brazil6%
Indonesia5%

Likely interests

EntertainmentLifestyleTrending

About

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