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Channel

Roburna Announcement Channel

@roburnaannouncements

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

415subscribers

-11 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001617641773
TypeChannel
Username@roburnaannouncements
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 29 September 2026
On Telegramt.me/roburnaannouncements

Topic

Other / unclassifiable — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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

415426420.57 August 2026 — 426 subscribers7 August 2026 — 426 subscribers14 August 2026 — 422 subscribers28 August 2026 — 424 subscribers7 September 2026 — 422 subscribers15 September 2026 — 420 subscribers29 September 2026 — 415 subscribers7 August 202629 September 2026
7 measurements spanning 53 days, net -11. 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 413–428 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Sept 2026, 13:42415-5
15 Sept 2026, 07:16420-2
7 Sept 2026, 18:21422-2
28 Aug 2026, 23:03424+2
14 Aug 2026, 22:24422-4
7 Aug 2026, 05:32426no change
7 Aug 2026, 05:27426first reading

Engagement

20 posts held, back to 10 April 2026 — 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 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

75 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 37.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2837.3%
👍2026.7%
🍌1114.7%
🎉68.00%
👌34.00%
⚡22.67%
🔥22.67%
🌭11.33%
😁11.33%
🫡11.33%

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 75 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 10 April 2026 to 6 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.

Recent posts

6 Aug 2026, 19:30 UTC61 views6 reactionsread 7 August 2026

Roburna 5th Anniversary — Community Session 🌳🌳🌳 As Roburna marks another year of building, we'd like to invite our community to a special live session. This will be an opportunity to reflect on our journey so far, appreciate the people who have supported Roburna along the way, share insights from behind the scenes, and discuss the exciting chapter ahead. We also look forward to sharing updates with the community a…

🎉6

9 Jul 2026, 11:10 UTC306 views1 reactionsread 7 August 2026
Photo

Food contamination and fraud are rarely caused by a lack of data. More often, they’re the result of fragmented records spread across disconnected supply chains. Our latest posts explores why these transparency gaps exist and what they cost when things go wrong. Read the full article on our blog and also engage our post on X/Twitter Roburna Blog: Why Food Supply Chains can't Fully Trace the Food We Eat X post: htt…

👍1

4 Jul 2026, 13:16 UTC262 viewsread 7 August 2026
Photo

Many analytics tools todayoften can’t observe every customer action directly. So they use predictive models and patterns to infer behavior instead of recording verified activity. This reliance on inference fills gaps but also introduces assumptions into insights. We made posts about this topic. Read our blog and check out the discussion on X/below below Roburna Blog: What Every Enterprise Should Know About Inferr…

30 Jun 2026, 10:32 UTC271 views0 reactionsread 7 August 2026
Photo

Modern customer analytics should help teams make faster, smarter decisions. Instead, inconsistent data often makes analytics less reliable... We made posts on the reliability crisis in modern customer analytics and why data quality is at the heart of it. Read our blog and check out the discussion on X/below below Roburna Blog: The Reliability Crisis Inside Modern Customer Analytics X/Twitter post: https://x.com/R…

26 Jun 2026, 10:53 UTC227 views2 reactionsread 7 August 2026
Photo

For our members who prefer a written format, we’ve prepared a written summary of the update. You can read it on our website update below Roburna Community Update - Progress and Current Priorities

❤1🌭1

25 Jun 2026, 14:47 UTC221 views2 reactionsread 7 August 2026
Video

Community Update 🌳 To provide additional clarity on recent progress and current priorities, this is an update covering the latest developments across the project. More updates covering other topics will follow this.

🍌1👍1

24 Jun 2026, 11:25 UTC197 views3 reactionsread 7 August 2026
Photo

Last week we discussed the role blockchain plays in supply chain infrastructure. This week, we’re examining the difference between batch-level and product-level tracking, and why it matters most when something goes wrong. See our our blog and X (Twitter) post below and please drop a like and RT Roburna Blog: Product-Level Tracking During a Supply Chain Crisis X: Twitter post: https://x.com/roburnaofficial/status/…

👍2🍌1

18 Jun 2026, 11:25 UTC311 views3 reactionsread 7 August 2026
Photo

Following our insight from last week, when we looked at what real supply chain visibility requires... This week we talked about what blockchain actually does in supply chains (the architectural function, not the investment thesis) We have shared posts on our blog and also X/Twitter Read them below and please do well to engage our posts Roburna Blog: What Blockchain Actually Does in Supply Chains X/Twitter post: …

👍2❤1

9 Jun 2026, 20:00 UTC261 views3 reactionsread 7 August 2026
Photo

Supply chain visibility is one of the most overused terms in logistics and operations. Many existing tools provide access to data, but they do not solve the underlying trust problem created by fragmented records across multiple parties. We've published a new article exploring what genuine end-to-end supply chain visibility actually requires and the four properties needed to make it possible. Read the full article …

❤3

8 Jun 2026, 11:10 UTC224 viewsread 7 August 2026
Photo

Roburna Community Update: Audits, Builders, Partners, and Launch Readiness 🌳 Roburna’s latest community update is now live. Inside this update, we shared progress on our audit reports, blockchain management, the pegged token wrapper system, partner ecosystem growth, an upcoming Builders Program, and the work being done to improve our technical documentation ahead of launch. This update gives a clear look at what w…

5 Jun 2026, 11:45 UTC225 views0 reactionsread 7 August 2026
Photo

Customer attribution models were once the go‑to way to understand which channels drove conversions. Today, fragmented journeys, data gaps, and privacy‑driven signal loss mean these models often produce inconsistent or misleading insights. Attribution is now limited by what data it can see, not what it should measure. We’ve published a deep dive on why traditional attribution models are struggling in modern enterpr…

2 Jun 2026, 17:46 UTC247 views6 reactionsread 7 August 2026
Photo

Previously, we shared in our blog about how digital systems didn't fix the major problems in the global supply chain. This week we're looking at another angle of that problem - what happens when the structure fails in human terms, not in dollars. We have covered this again in our latest blog and Twitter post Read the posts below 👇 Roburna blog - The Cost of Supply Chain Failure Twitter (X) post - https://x.com/Rob…

👍5❤1

Showing the 12 most recent of 20 posts we hold for @roburnaannouncements. 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

⚽️ FUTBOL24 Betting Tips 🇳🇬
@futbol24_ng · 22,792
Telegram ranks this channel #35 of 57 here — alongside 56 others — read 5 October 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 29 September 2026 — this entry's latest reading, not the date you are reading this.

“Roburna Announcement Channel” (@roburnaannouncements), 415 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/roburnaannouncements.

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.