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CosyLinde — stream on October 11, 2026

✧*̥˚ Dressmaker *̥˚✧ designing some more halloween-y dresses and continuing the story | I really love this game | !gacha

Started · 4h 30m · ended

Average viewers
107
Peak viewers
117
Median viewers
110
Hours watched
484

Estimated

Viewers during this broadcast

Sampled every few minutes. Breaks in the line are stretches we did not observe — they are never drawn across.

  • Dressmaker12:57–17:27
View as table
Sampled viewer counts during this broadcast, in UTC
Time (UTC)Viewers
Oct 11, 2026, 2:44 PM UTC98
Oct 11, 2026, 2:44 PM UTC98
Oct 11, 2026, 2:49 PM UTC97
Oct 11, 2026, 2:54 PM UTC95
Oct 11, 2026, 2:59 PM UTC93
Oct 11, 2026, 3:14 PM UTC89
Oct 11, 2026, 3:28 PM UTC94
Oct 11, 2026, 3:45 PM UTC112
Oct 11, 2026, 3:49 PM UTC117
Oct 11, 2026, 3:54 PM UTC117
Oct 11, 2026, 3:59 PM UTC112
Oct 11, 2026, 4:00 PM UTC112
Oct 11, 2026, 4:04 PM UTC110
Oct 11, 2026, 4:09 PM UTC115
Oct 11, 2026, 4:14 PM UTC111
Oct 11, 2026, 4:15 PM UTC111
Oct 11, 2026, 4:19 PM UTC108
Oct 11, 2026, 4:24 PM UTC110
Oct 11, 2026, 4:29 PM UTC108
Oct 11, 2026, 4:34 PM UTC116
Oct 11, 2026, 4:39 PM UTC112
Oct 11, 2026, 4:44 PM UTC110
Oct 11, 2026, 4:45 PM UTC110
Oct 11, 2026, 4:59 PM UTC114
Oct 11, 2026, 5:02 PM UTC111
Oct 11, 2026, 5:06 PM UTC113
Oct 11, 2026, 5:09 PM UTC113
Oct 11, 2026, 5:13 PM UTC108
Oct 11, 2026, 5:16 PM UTC108
Oct 11, 2026, 5:19 PM UTC103
Oct 11, 2026, 5:23 PM UTC107
Oct 11, 2026, 5:26 PM UTC98

Category timeline

Where the broadcast’s time went. A switch is placed midway between the last sample of one category and the first of the next, because that is as precisely as sampling can locate it.

Categories played during the broadcast on October 11, 2026
CategoryStarted (UTC)DurationAvg viewersPeakHours watched
Dressmaker4h 30m107117484

How this broadcast compares

We do not yet hold enough tracked history from the last 30 days to say how this broadcast compares with a typical one for this channel.

A percentile needs at least five finalised streams in the last 90 days; we have 2.

How we measured it

Samples collected
32
Sampling coverage
50%
Data confidence
50%

We check a live channel every few minutes rather than continuously, so these numbers are estimates built from 32 observations. Coverage is the share of the broadcast those observations account for; confidence combines that coverage with how many samples we took and whether we saw the stream end. Time we did not observe is excluded from the averages rather than filled in.

What stands out

  • 1 sampling gap occurred during this broadcast; the affected time is excluded from the averages rather than estimated.

Tracked since . Last updated .