Shown
32% above the 14-day average.
Viewing this channel as it looked on Apr 12, 2026. 16 days before the most recent data.
Open Channel StatsNew ChannelThe smallest maturity stage — only milestone signals fire so thin samples don't drive statistical claims.
4 videos so far · 116 total views
Shown
32% above the 14-day average.
Click rate
Held within 0.1 points of the 14-day average.
Views
24% above the 14-day average.
Subscribers
100% below the 14-day average.
Temperature
—
Baseline takes about five weeks to compute.
What's moved in the last 7 days.
This channel is 4 days old. 4 videos published. Currently in the seedling stage. 116 cumulative views.
videos
3 videos on this channel received 26 combined views from Suggested Videos on Apr 12, 2026. Each is still too thin to call a trend.
First 4 subscribers on a daily publishing pace
First subscribers on a steady-cadence channel often come from viewers who saw the channel more than once before subscribing — so they tend to reflect return-visit pacing as much as any one video's depth.
Phase: suggested-dominant
80% of views from Suggested Videos — typical when YouTube is matching content to viewers of similar videos.
Softer Day-1 on Video 4 near a neighbor
A lower-than-typical Day-1 for a video published close after another is a correlational observation — it could reflect audience overlap, fatigue, or simply a softer topic. The prior video still getting views is the piece that makes the pairing notable.
2 videos had front-loaded view curves
Most of the lifetime views arrived in the first couple of days. Common pattern when a video hits an algorithmic surface early and tapers afterward.
Channel Page
Across 3 recent days, Channel Page has contributed 5 views — still below the 30-view threshold, but worth watching: sources that clear the floor usually show up on the traffic page with their own per-video share.
Traffic breakdownBrowse / Homepage
Across 2 recent days, Browse / Homepage has contributed 11 views — still below the 30-view threshold, but worth watching: sources that clear the floor usually show up on the traffic page with their own per-video share.
Traffic breakdown5 subscribers is about 1 day out at current pace, 1 at double, 2 at half. Ranges, not forecasts. Daily pace has been variable — the range is especially rough.
Story timelineWhich videos are the outliers — notes and lead changes along the bottom.
4 videos in 4 days. Most are still too new to compare against each other — by the 20th video, cross-video shapes start to be honest.
Who is finding this channel?
Discovery phase: Suggested for Viewers — see Traffic.
Each river is a traffic source; width follows daily views. Hover a stream to highlight its share over the last few days, or tap to open that source’s detail page.
What share of recent views came from sources where the viewer chose to come back (Direct, Channel Page, Playlist, End Screen, Link). The complementary share is algorithmic discovery (Browse, Suggested, Search). The ratio drifts as a channel matures; both extremes have legitimate channel patterns.
Each week, what share of last week’s viewer mix came back versus how much of the mix is new. Compares the (source, country) buckets that delivered views in consecutive weeks.
Inter-publish gap distribution and the detected publishing pattern across the trailing 28 days. Weekend cells use a cooler tone, weekday cells a warmer one — descriptive only, not a verdict on the schedule.
Publishing cadence appears after the first 28 days.
Day-of-week view tracking starts after 3 full weeks of data (1 so far).
Not enough catalog for cross-video patterns yet. This chapter fills in around the 20th video, when things like "longer videos hold viewers better on this channel" start to have statistical support.
4 of 20 videos so far.
What this data doesn’t tell you.
This site can’t answer that — no one channel can. What it shows you is one real channel, honestly. Every number here is real; nothing has been smoothed or flattered. Compare silently to whatever channels you study most often, and draw your own conclusions.
Real “normal” would come from comparing against many channels at the same stage in the same niche. That’s a future direction; it’s not something one channel’s data can answer today. Country breakdowns — views, average watch, net subscribers — are shown above. Click rate by country isn’t, since YouTube doesn’t report how often a thumbnail was shown by country. Device-type and subscribed-vs-non-subscribed splits aren't shown in this public view.
Half of this channel's subscribers came from one of 4 videos. Concentration like this is common at small catalogs and is descriptive, not a verdict.
What we tested:0 hold here·0 don't·0 inconclusive·→ See what we tested
Today's reading
Everything above is small-sample. Pattern-matching on a handful of videos usually produces mostly noise; by around the tenth video more of the chapters fill in with statistically meaningful content.
Most early-stage signals tend to stabilize after the catalog crosses a few dozen videos.