科技美学

科技美学

@kjmx
UCAC204niCVvtDRDFYSiK7Cg Created on YouTube: 27.03.2013 Chinese Lifestyle Open on YouTube
First seen in analytics: 09.04.2026
Subscribers
96 000
+700 / 30d
Views
12 443 021
+595 996 / 30d
Videos
1 157
+26 / 30d
Global Rank
#3,787
Language Rank
#174
Chinese
Topic Rank
#1,181
Lifestyle
Est. Monthly Earnings
$893 – $2,681
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-09-03 95 300 — 11 847 025 — 1 131 —
2026-09-06 95 400 +100 11 850 620 +3 595 1 134 +3
2026-09-09 95 500 +100 11 853 400 +2 780 1 138 +4
2026-09-11 95 600 +100 12 042 142 +188 742 1 141 +3
2026-09-13 95 600 0 12 059 816 +17 674 1 141 0
2026-09-15 95 600 0 12 066 258 +6 442 1 141 0
2026-09-17 95 600 0 12 069 363 +3 105 1 144 +3
2026-09-18 95 700 +100 12 082 392 +13 029 1 145 +1
2026-09-20 95 800 +100 12 157 223 +74 831 1 145 0
2026-09-22 95 800 0 12 188 868 +31 645 1 145 0
2026-09-23 95 800 0 12 199 816 +10 948 1 146 +1
2026-09-25 95 900 +100 12 233 275 +33 459 1 148 +2
2026-09-27 95 900 0 12 258 500 +25 225 1 148 0
2026-09-28 95 900 0 12 262 201 +3 701 1 149 +1
2026-10-01 95 900 0 12 297 283 +35 082 1 151 +2
2026-10-05 95 900 0 12 318 725 +21 442 1 151 0
2026-10-06 95 900 0 12 320 613 +1 888 1 151 0
2026-10-09 95 900 0 12 332 917 +12 304 1 152 +1
2026-10-11 95 900 0 12 348 202 +15 285 1 152 0
2026-10-13 96 000 +100 12 360 524 +12 322 1 153 +1
2026-10-15 96 000 0 12 377 908 +17 384 1 154 +1
2026-10-16 96 000 0 12 378 305 +397 1 154 0
2026-10-18 96 000 0 12 388 626 +10 321 1 154 0
2026-10-19 96 000 0 12 397 235 +8 609 1 154 0
2026-10-21 96 000 0 12 403 849 +6 614 1 154 0
2026-10-22 96 000 0 12 415 269 +11 420 1 155 +1
2026-10-24 96 000 0 12 432 068 +16 799 1 157 +2
2026-10-25 96 000 0 12 434 208 +2 140 1 157 0
2026-10-26 96 000 0 12 438 041 +3 833 1 157 0
2026-10-28 latest 96 000 0 12 443 021 +4 980 1 157 0
Daily Average 3 6 027 0
Weekly Average 0 38 499 2
Last 14 days 0 82 497 4
Last 30 days 100 180 820 8

Charts and Forecast for the Channel 科技美学

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

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