Breakout Lens

3536 breakouts · 1334 channels · snapshot 2026-10-11

A Social Blade alternative for breakout tracking

Subscriber-count trackers answer "how big is this channel". This radar answers a narrower and more useful question for anyone picking a niche: which small channels outran their own audience, what did their videos actually do, and which of those formats can be copied without a camera. Below is an honest side-by-side — including the things a history-tracking tool does that this site deliberately does not.

1334channels tracked
3536breakout videos in the dataset
4.2K/daymedian velocity
0channels above 100k subscribers accepted

What each tool is actually good at

CapabilitySubscriber-count tracking toolsThis radar
Primary questionHow big is this channel, and how is it trending?Did this small channel's videos outrun its own audience, and can I copy the format?
Subscriber and view countsYes — at channel and video levelYes, but only for videos that cleared the breakout filter (≥20k views, ≤100k subs, ≥3× reach)
Growth history over timeYes — daily/monthly tracked historyNo — one capture snapshot per video, so all ages are recomputed from publish dates, not tracked over time
Estimated earningsYes, modelled from views and an RPM assumptionNo — the API exposes no revenue, so no earnings figure is published for any channel
Ranking metricSubscriber count, view count, upload countsBreakout score: views per day ÷ audience size, weighted by engagement against the same niche's median
Engagement sanity checkNot a ranking inputYes — likes per 100 views is compared to the niche median, and entries far below it are downweighted and labelled in the breakdown
Niche and market structureCategory filters16 niches plus cross-market boards across 18 language markets
Faceless / AI-video focusGeneral purposePurpose-built: the entry filter targets small channels, and production choices are tagged per video
What you get per channelA stats pageTracked uploads with hook type, runtime, repeatable production choices, and neighbouring channels in the same niche
Data sourceYouTube public dataYouTube Data API v3 public metrics · 3215 of 3536 rows record a capture date

Where the two approaches actually diverge

The reason to look at a second tool is usually a gap, not a preference. Subscriber-count trackers answer "how big is this channel" extremely well, and this radar answers that badly on purpose — it filters out the large channels entirely. What it does instead is rank 3536 videos from 1334 small channels by how fast they are accumulating views relative to the audience they started with, which is the question you ask when you are looking for a niche to enter rather than a channel to watch.

That difference shows up in the ranking. A subscriber-count ranking puts a channel with 900,000 subscribers at the top because it is large; the breakout score puts it nowhere, because the tracked dataset stops accepting channels above 100,000 subscribers. The current median velocity across the dataset is 4.2K/day and the median tracked video is 92 days old — 3054 of 3536 entries are older than 30 days, which is a number worth reading before you treat any of this as a live trend feed.

Where this site is genuinely weaker is history. There is no time series here: each video is captured once, so every age on the page is recomputed from its publish date at build time (page rebuilt 2026-10-11) and the velocity is a lifetime average, not a daily reading. If your question is "is this channel gaining or losing momentum this month", a tracking tool with stored history is the right answer. If your question is "which formats are still being handed distribution in this niche", this dataset is built for it.

One more limit worth stating plainly: 640 of the 1334 channels tracked here appear with a single breakout video. A one-video channel is a topic signal, not proof of a repeatable format, and the channel pages say so instead of implying otherwise.

The 20 highest-scoring channels here

Ranked by breakout score — the same metric the rest of the site uses. None of these channels would rank anywhere near the top of a subscriber-count leaderboard, which is the entire point.

#ChannelSubscribersTracked videosBest scoreBest reachMedian reachNiche
01Cozy Village Tales98.4K1153.7×442.7×442.7×ASMR / Cozy
02Build Wonders51.7K292.7×482.8×248.3×Builds / Transformations
03Dreamy Village Life52.5K180.4×590.6×590.6×ASMR / Cozy
04Aesthetic Asmr51.9K271.8×386.5×199.0×ASMR / Cozy, Romance / Mini-Drama
05Zelvora Frame48.9K571.7×394.6×9.7×Builds / Transformations, Music / Performance
06Axovian Industries17.1K769.6×669.5×53.1×Builds / Transformations, Documentary / History, Explainer / Science
07AI Mohalla 🤖😂6.2K159.2×399.6×399.6×ASMR / Cozy
08Kryvora Garage32.2K458.4×390.2×74.4×Builds / Transformations
09Pulseoryx Wild36.6K958.4×997.6×10.5×Documentary / History, Builds / Transformations
10Being Janvi89.2K156.8×312.9×312.9×Kids / Learning
11Kareeshma's Village Tales26.6K256.4×491.0×247.8×ASMR / Cozy
12GENER8ION98.8K155.9×370.4×370.4×Music / Performance
13Wowlet Ghibli54.1K153.1×368.3×368.3×ASMR / Cozy
14Bhakti Devotional10.1K150.2×833.3×833.3×Kids / Learning
15小王在农村🇨🇳17.1K346.7×365.5×52.0×ASMR / Cozy
16DramaMuse75.9K245.2×150.3×77.6×Romance / Mini-Drama
17JigNesHTimes24.4K745.1×242.3×75.0×Documentary / History, Tutorials / Tools
18Ghibli Rasoi49.8K244.6×223.5×122.3×ASMR / Cozy
19Cozy Tales Studio100.0K144.5×191.9×191.9×ASMR / Cozy
20Pipoch Studio11.7K144.3×387.3×387.3×ASMR / Cozy

Why there is no "hit rate" column here: every tracked video already cleared the scraper's 3× entry floor, so a per-channel share would read 100% for all 1334 channels and would separate nothing — a selection effect, not a measurement. Median and best reach are shown instead because they actually vary between channels. Page rebuilt 2026-10-11.

Subscriber counts and reach are what the public API reports; revenue is not, so no table here pretends to know it. If you want to turn one of these channels' view numbers into a value under assumptions you control, the YouTube channel value calculator shows the formula and pulls its comparables from this same dataset.

Which one to open

Use a history-tracking tool when the question is about a specific channel over time: is it growing, is a particular upload underperforming, has a subscriber plateau started. Use this radar when the question is about a niche or a format: which small channels are being handed distribution, what runtime and hook the winners use, and how the same niche behaves in a different language market. They are not substitutes, and this page is not pretending the $0 price of one of them makes up for not having stored history.

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