SST MUNISH SIR

How to read this channel

SST MUNISH SIR is a 16,800-subscriber channel (about 183 months old) working mainly in Growth / Monetization, publishing first in Hindi. The radar tracks 1 of its uploads. Its strongest signal (breakout score 0.9× the dataset median) reaches 37.7× the channel's subscriber count and has averaged 4,039 views a day since it was published 157 days ago, on “🚨AI छोड़ो!🚨ये Tool खुद 30 Minute की Video बना देता है 😱YouTube Automation Ka ” (634,145 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. The API reports the audio track language as hi.

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: this channel has a single tracked upload so far, and it has pulled 634,145 views. Treat a one-video channel as a topic signal, not as proof of a repeatable format. The hook patterns the tracker infers from its titles are number / list hook (1), and the production choices that repeat are no-face format (no host on camera), talking about ai, not an ai-made film, countdown / ranked structure in title, monetization teardown / earnings disclosure.

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.