TheCodingNook Twitch stats
Una chica que hace stream mientras trabaja. Peluso y Gofre aparecerán para dormir en la mesa. 📖Turno de las 7:30AM 🥇| Just a girl streaming while working. A cat might appear sometimes to take a table nap. ⋆。‧˚ʚ🍓ɞ˚‧。⋆Early bird streams ~
Tracked since . Profile details synced .
- Tracked streams
- 34
- Highest tracked viewers
- 135
🍂SWM #60 (7HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy
Category: Co-working & StudyingLive for 7h 17m39 watching · sampled
Stream history
Showing 1–25 of 35 tracked broadcasts, newest first.
| Stream | Category | Duration | Avg viewers | Peak | Hours watched |
|---|---|---|---|---|---|
| 🍂SWM #60 (7HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoyStatus: Live | Co-working & Studying | — | — | 54 | — |
| 🍂SWM #59 (10HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoyPartial data | Co-working & Studying | 10h 5m | 45.6 | 85 | 460 |
| 🍂SWM #57 (10HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoyPartial data | Co-working & Studying | 10h 2m | 45.4 | 64 | 456 |
| 🍂SWM #56 (10HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy | Co-working & Studying | 10h 6m | 51.3 | 94 | 519 |
| 🍂SWM #55 (7HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy | Co-working & Studying | 7h 11m | 40.4 | 51 | 290 |
| 🍂SWM #54 (7HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy | Co-working & Studying | 7h 20m | 70.0 | 135 | 513 |
| 🍂SWM #53 (10HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy | Co-working & Studying | 10h 14m | 69.3 | 134 | 710 |
| 🍂SWM #52 (10HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy | Co-working & Studying | 10h 17m | 53.5 | 75 | 551 |
| 🍂SWM #51 (10HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy | Co-working & Studying | 10h 35m | 52.1 | 89 | 551 |
| 🍂SWM #50 (10HR)✨🐱 ⋆˚🐾˖° 🍂 !checkin !hoy | Co-working & Studying | 10h 12m | 71.2 | 93 | 726 |
| 🍂SWM #49 (7HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !checkin !hoyPartial data | Co-working & Studying | 7h 45m | 42.4 | 55 | 329 |
| 🍂SWM #48 (7HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 7h 19m | 48.1 | 57 | 352 |
| 🍂SWM #47 (10HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 10h 21m | 35.9 | 51 | 372 |
| 🍂SWM #46 (10HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 10h 12m | 41.7 | 70 | 426 |
| 🍂SWM #45 (10HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoENPartial data | Co-working & Studying | 7h 44m | 45.6 | 65 | 353 |
| 🍂SWM #45 (10HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 2h 16m | 57.2 | 68 | 131 |
| 🍂SWM #44 (7HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 7h 13m | 45.0 | 58 | 325 |
| 🍂SWM #43 (10HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 9h | 42.3 | 52 | 381 |
| 🍂SWM #43 (10HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoENPartial data | Co-working & Studying | 1h 11m | 47.4 | 48 | 56 |
| 🍂SWM #42 (10HR)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 4h 30m | 53.6 | 71 | 241 |
| 🍂SWM #48 (10 h)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 6h 9m | 67.2 | 79 | 413 |
| SWM #47 (8 h)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° | Instrumental and chill music ✦ | 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 7h 40m | 56.2 | 77 | 432 |
| SWM #46 (10 h)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° | Instrumental and chill music ✦ | 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 10h 17m | 64.0 | 111 | 658 |
| SWM #45 (10 h)✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° | Instrumental and chill music ✦ | 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 10h 15m | 56.9 | 74 | 583 |
| SWM #46✨🐱 Estudia con Peluso, Gofre y conmigo! ⋆˚🐾˖° | Instrumental and chill music ✦ | 🍂 !horario !hoy !sp !yt !info !infoEN | Co-working & Studying | 10h 10m | 59.8 | 84 | 609 |
Times are UTC. Average and peak viewers come from periodic sampling of the live broadcast, so they are close estimates rather than exact platform figures. A stream marked “partial data” had gaps in our sampling; the unobserved time is excluded from its averages rather than filled in.
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