AcademeG DailyStream

AcademeG DailyStream

Channel ID: UCEVNTzTFSGkZGTjVE9ipXpg · Open on YouTube
First seen in analytics: 2025-11-15 · Created on YouTube: 2015-12-18
Language: Russian (ru) · Topic: Lifestyle
Subscribers
1 780 000
0 / 30d
Views
490 845 614
+1 621 953 / 30d
Videos
881
+2 / 30d
Global Rank
#398
Language Rank
#119
Russian
Topic Rank
#70
Lifestyle
Est. Monthly Earnings
$2,432 – $7,298
Based on 30-day views × topic CPM
Date Subscribers ± Views ± Videos ±
2026-03-03 1 780 000 489 223 661 879
2026-03-04 1 780 000 0 489 371 610 +147 949 879 0
2026-03-05 1 780 000 0 489 448 472 +76 862 880 +1
2026-03-06 1 780 000 0 489 883 248 +434 776 880 0
2026-03-07 1 780 000 0 489 922 046 +38 798 880 0
2026-03-08 1 780 000 0 489 992 090 +70 044 880 0
2026-03-09 1 780 000 0 490 035 425 +43 335 880 0
2026-03-10 1 780 000 0 490 049 752 +14 327 880 0
2026-03-11 1 780 000 0 490 122 889 +73 137 880 0
2026-03-12 1 780 000 0 490 144 087 +21 198 880 0
2026-03-13 1 780 000 0 490 150 043 +5 956 880 0
2026-03-14 1 780 000 0 490 166 823 +16 780 880 0
2026-03-15 1 780 000 0 490 183 253 +16 430 880 0
2026-03-16 1 780 000 0 490 203 832 +20 579 880 0
2026-03-17 1 780 000 0 490 230 933 +27 101 880 0
2026-03-18 1 780 000 0 490 237 135 +6 202 880 0
2026-03-19 1 780 000 0 490 250 539 +13 404 880 0
2026-03-20 1 780 000 0 490 275 087 +24 548 880 0
2026-03-21 1 780 000 0 490 275 087 0 880 0
2026-03-23 1 780 000 0 490 294 768 +19 681 880 0
2026-03-24 1 780 000 0 490 313 371 +18 603 880 0
2026-03-25 1 780 000 0 490 322 094 +8 723 881 +1
2026-03-26 1 780 000 0 490 649 932 +327 838 881 0
2026-03-27 1 780 000 0 490 717 856 +67 924 881 0
2026-03-28 1 780 000 0 490 751 769 +33 913 881 0
2026-03-29 1 780 000 0 490 766 016 +14 247 881 0
2026-03-30 1 780 000 0 490 789 595 +23 579 881 0
2026-04-01 1 780 000 0 490 812 971 +23 376 881 0
2026-04-02 1 780 000 0 490 836 304 +23 333 881 0
2026-04-03 latest 1 780 000 0 490 845 614 +9 310 881 0

Charts and Forecast for the Channel AcademeG DailyStream

About the Channel Growth Forecast AcademeG DailyStream: The forecast is based on linear regression of historical data and is intended for reference purposes only.

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