Crypto & trading — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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
9 measurements spanning 58 days, net -5. 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 2,520–2,530 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Oct 2026, 05:16
2,522
+1
26 Sept 2026, 09:18
2,521
-3
15 Sept 2026, 12:37
2,524
-1
11 Sept 2026, 11:35
2,525
-1
7 Sept 2026, 03:59
2,526
-3
24 Aug 2026, 15:56
2,529
+1
21 Aug 2026, 00:14
2,528
+1
7 Aug 2026, 21:00
2,527
no change
7 Aug 2026, 20:53
2,527
first reading
Engagement
4 posts held, back to 12 January 2022 — 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 4 posts for this entry, the most recent from 17 February 2022. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 38s
Average length
2m 38s
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
22 reactions across 3 posts, in 4 distinct kinds. The most used accounts for 72.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
16
72.7%
👏
3
13.6%
❤
2
9.09%
🔥
1
4.55%
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 3 of the 4 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 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 12 January 2022 to 17 February 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Dear subscribers, we posted a new article on Medium and in our blog.
For an IDO we need to sell approximately 50'000 ESCUDO tokens. Our private sale is LIVE, use discount code DIGITAL20PORTUGAL for instant 20% off ESCUDO.
We will start approaching agencies next week.
You are welcome to buy ESCUDO tokens and share this article with your friends and colleagues in crypto industry.
https://digital-pt.medium.com/portug…
EXCLUSIVE: Discount for the readers of our Telegram channel.
#ESCUDO is an eco-friendly proof-of-stake token.
The token treasury has been minted on the BSC blockchain in the amount of 22’786’081 ESC tokens, which equals to the number of acres of land Portugal has.
Contract can be seen here:
https://bscscan.com/token/0x456656DE37cC9D5DB709b79aFb4BFa717E68Af83
Currently we are selling an initial 1 Million tokens on…
🌳🧘🏽♂️welcome🧘🏽♀️🌴
DIGITAL🇵🇹PORTUGAL is a social network in Portugal with apps available in the Apple AppStore and Google PlayMarket
🌐 https://digital.pt
🗣 USERS can freely communicate and browse catalogs.
🛍 VENDORS are live representatives of the products and services listed in the live catalog of the app.
🪙 ESCUDO TOKEN is a utility token of the Digital Portugal network, used for governance and accepted as pa…
Showing the 4 most recent of 4 posts we hold for @DigitalPortugal. 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.
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 5 October 2026 — this
entry's latest reading, not the date you are reading this.
“DIGITAL 🇵🇹 PORTUGAL” (@DigitalPortugal), 2,522 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/DigitalPortugal.
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.
