Build 3 PRODUCTION AI Agents in Python - Full Course (Agentspan)
Published 17 Jun 2026 · 34 daily observations recorded · last updated 2026-09-29
Recent growth
Performance history
Every observation TubeSum recorded, plotted as measured.
Based on 34 observations · last observed Sep 29, 2026 · straight lines connect consecutive observations — TubeSum does not measure the days between them.
All observations
The same points the chart plots, as exact numbers. Gaps mean no observation was taken that day.
| Date | Views | Avg views / hour | Channel median |
|---|---|---|---|
| 2026-09-29 | 35,659 | 14.3 | 61,529 |
| 2026-09-28 | 35,560 | 14.4 | 79,796 |
| 2026-09-27 | 35,449 | 14.5 | 79,796 |
| 2026-09-26 | 35,342 | 14.6 | 79,796 |
| 2026-09-25 | 35,283 | 14.7 | 79,796 |
| 2026-09-24 | 35,189 | 14.9 | 79,796 |
| 2026-09-23 | 35,087 | 15.0 | 79,796 |
| 2026-09-22 | 34,962 | 15.1 | 79,796 |
| 2026-09-21 | 34,904 | 15.1 | 79,796 |
| 2026-09-20 | 34,679 | 15.3 | 79,796 |
| 2026-09-19 | 34,524 | 15.4 | 79,796 |
| 2026-09-18 | 34,395 | 15.4 | 79,796 |
| 2026-09-17 | 34,249 | 15.5 | 79,796 |
| 2026-09-16 | 34,081 | 15.7 | 79,796 |
| 2026-09-15 | 33,953 | 15.8 | 79,796 |
| 2026-09-14 | 33,756 | 15.9 | 79,796 |
| 2026-09-13 | 33,574 | 15.9 | 79,796 |
| 2026-09-12 | 33,487 | 16.0 | 79,796 |
| 2026-09-11 | 33,348 | 16.2 | 79,796 |
| 2026-09-07 | 32,834 | 16.7 | 77,651 |
| 2026-09-04 | 32,489 | 17.2 | 77,651 |
| 2026-09-01 | 32,196 | 17.7 | 77,651 |
| 2026-08-27 | 31,726 | 18.7 | 77,092 |
| 2026-08-17 | 31,052 | 21.3 | 70,703 |
| 2026-08-10 | 30,546 | 23.7 | 70,703 |
| 2026-08-07 | 30,309 | 24.8 | 70,703 |
| 2026-08-05 | 30,137 | 25.8 | 70,703 |
| 2026-07-31 | 29,677 | 28.3 | 70,703 |
| 2026-07-27 | 29,242 | 30.5 | 70,703 |
| 2026-07-24 | 28,949 | 32.7 | 70,703 |
| 2026-07-23 | 28,821 | 33.6 | 70,703 |
| 2026-07-22 | 28,722 | 34.6 | 70,703 |
| 2026-07-20 | 28,550 | 36.2 | 70,703 |
| 2026-07-17 | 28,237 | 39.2 | 70,703 |
Content analysis
Transcript, chapters and structure for this video live on its analysis page — performance and content are separate documents on TubeSum.
Read transcript & analysis →