Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 22 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
7 measurements spanning 58 days, net -8. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 394–404 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Oct 2026, 00:38
395
-1
18 Sept 2026, 17:18
396
-3
10 Sept 2026, 04:59
399
-1
31 Aug 2026, 07:14
400
-2
23 Aug 2026, 16:14
402
-1
8 Aug 2026, 05:47
403
no change
7 Aug 2026, 11:09
403
first reading
Engagement
20 posts held, back to 2 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5s
Average length
5s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
197 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 24.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
49
24.9%
💯
46
23.4%
❤
43
21.8%
👏
24
12.2%
🤯
24
12.2%
🥰
6
3.05%
👍
5
2.54%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 18 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 197 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 March 2025 to 5 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
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Long time no shitpost, love how there are periods in my life where I get this random urge to “build my personal brand” and then don’t post again for a year 😂
Whatever, been busy as always actually structuring our agency so we’re able to scale properly, not just “sign new clients.”
Long story short, this shit actually works. Not gonna dickride or sugarcoat anything, but this psycho of a man actually knows his shit. …
After offering Reddit services for about a year, trust me when I say this:
99% of guys in this industry are fucking morons
with stupid expectations, trying to pimp their local baddie like it’s 2019.
Out of the hundreds of so-called “agency owners” I’ve worked with,
only a few actually knew how things work.
They’re still here, and doing better than ever.
The rest? Back to drug dealing or dropshipping. 😂
The best thing about IG and Reddit doing their fucking ban waves?
Every time, the losers and weak ones get wiped out.
More room for the ones who know their shit and keep pushing.
Adapt or disappear. Simple.
Discipline isn't waking up at 5am.
It’s doing the hard shit after a bad day, without applause, with full focus.
That’s what separates winners from watchers.
Nothing changes if nothing changes.
If you’re doing the same shit for months,
watching your results get worse,
and still not switching it up?
That’s on you, not the algorithm.
Test. Tweak. Evolve.
Or keep losing while blaming everything but yourself.
Do something about it.
If you feel stuck or like you’re not doing enough,
just know even top entrepreneurs go through it.
Probably more often than you think.
Business is hard.
Especially when you’re making real money with “a few clicks.”
It messes with your head.
So yeah, if this month sucks more than the last one, that’s fine.
Get your shit together. Try new things. Improve.
It will get better.
But only if you do.
To be 100% honest,
I mostly write this sh*t for myself.
It’s not like I’ve got some huge audience or anything.
If someone out there connects with it?
Good.
Now we’re two.
Everything starts with one.
Yeah, sometimes these motivational quotes feel cringey and fake.
Made-up wisdom. No soul. No scars.
But let’s be honest bro…
Sometimes you need that one quote or TikTok to slap you back into motion.
So here’s today’s quote:
GET YOUR SHIT TOGETHER AND TRY HARDER.
That’s it.
Captains Collective | CC 🏴☠️ pinned «Btw, if you’re struggling with traffic or management and have a model doing at least $5K+/month, I’m ready to buy her contract. Cash ready. We’ve got serious buying power and we’re scaling the agency hard.»
Btw, if you’re struggling with traffic or management and have a model doing at least $5K+/month, I’m ready to buy her contract. Cash ready. We’ve got serious buying power and we’re scaling the agency hard.
❤6💯4👏3
Showing the 12 most recent of 20 posts we hold for @captainscollective. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 2 March 2025 to 5 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Captains Collective | CC 🏴☠️” (@captainscollective), 395 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/captainscollective.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
