Channel profile · tracked by Breakout Lens
Wildify
23,700 subscribers · about 9 months old · ~2.7K subs/month to date ·publishing in English / Global ·Explainer / Science, Builds / Transformations, Short Films & Stories, Tutorials / Tools
Breakout videos
- 013.6×
- 023.5×
- 031.6×
- 041.1×
- 050.7×
- 060.7×
- 070.6×
- 080.6×
- 090.5×
- 100.5×
- 110.5×
- 120.3×
- 130.3×
- 140.3×
- 150.3×
- 160.3×
- 170.2×
- 180.2×
- 190.2×
- 200.2×
- 210.2×
- 220.1×
- 230.1×
- 240.1×
- 250.1×
How to read this channel
Wildify is a 23,700-subscriber channel (about 9 months old) working mainly in Explainer / Science, Builds / Transformations, Short Films & Stories, Tutorials / Tools, publishing first in English / Global. The radar tracks 25 of its uploads. Its strongest signal (breakout score 3.6× the dataset median) reaches 197.3× the channel's subscriber count and has averaged 18,559 views a day since it was published 252 days ago, on “👉 Sholay Cast Then and Now 2026 😱 | Who Died? |Real Age & Shocking Transformat” (4,676,936 views). That is a lifetime average, not a current rate — one capture per video means this dataset cannot distinguish a video that is still climbing from one that already peaked.
There is one statistic this page deliberately does not print: a per-channel “share of uploads that reached 3×”. Every video on this site cleared that floor before it could be tracked at all, so the figure would read 100% for every channel and would distinguish nothing. What is left instead: 25 tracked uploads pulling 21,139,406 views between them, the strongest reaching 197.3× its audience. Repeated strong reach across several uploads is the part that suggests a format; one outlier is not. The hook patterns the tracker infers from its titles are contradiction hook (17), number / list hook (3), question hook (2), and the production choices that repeat are no-face format (no host on camera), ends on a cliffhanger to farm next-episode views, ai-generated visuals declared in the title, countdown / ranked structure in title.
What to copy and what to skip: copy the packaging pattern (title structure, the promise made in the first seconds, the episode length that keeps working) and skip the parts that only this channel can do — an existing subscriber base, cross-posting, or a back catalogue that feeds recommendations. Then compare this channel against the others on its category board: same niche, different market, different length. That comparison is where the transferable part usually hides.
Those are audience numbers, not earnings: the public API returns views and subscribers but never revenue, so nothing on this site can tell you what the channel takes in. To turn an audience size like this one into a money figure under assumptions you set yourself, the YouTube channel value calculator applies an RPM you choose to views the API actually reports — it draws its comparables from the same tracked channels, and it holds no revenue data either.
Reproducible playbook
Opening hook (title-derived)
Question hook · estimated hook window 12s before the main body.
Beat rhythm (Question → mechanism → example → takeaway)
- Hook 0%–10%
- Escalation 10%–55%
- Turn 55%–85%
- Payoff 85%–100%
Production choices that repeat
- No-face format (no host on camera)
- AI-generated visuals declared in the title
- Ends on a cliffhanger to farm next-episode views
- Countdown / ranked structure in title
- Talking about AI, not an AI-made film
Derived from the title, duration and market — no frame-level video analysis, and no use of the labels this site writes on an entry.
Compare with
Same niche, market by market
- 🔬 Explainer / Science × English / Global · 195
- 🛠 Tutorials / Tools × English / Global · 141
- 🎞 Short Films & Stories × English / Global · 110
- 🏗 Builds / Transformations × English / Global · 79
Niche board and neighbouring channels
- All 🔬 Explainer / Science breakouts
- Cómo Funciona Todo · 4×
- IA-CRUCIS · 4×
- AM I? · 4×
- Fs_jheyner · 4×
- Unknown Frequencies · 4×
Snapshot rebuilt 2026-10-11 · 3536 signals · 1334 channels. Metrics come from the YouTube Data API v3 and are stored captures, not live counters; ages are recalculated from each video's publish date at build time.