Recorded in 2019 as βtelegram-android-beta πβ β the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third partyβs dated snapshot, not a measurement this register made itself.
Growth
13 measurements spanning 40 days, net -7. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β snapshots are recorded only when a count changes, so gaps mean βno change observedβ, never βinterpolatedβ. The vertical axis spans 1,541β1,557 and does not start at zero.
Measurement log β every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 08:38
1,543
-5
12 Sept 2026, 03:21
1,548
-1
2 Sept 2026, 21:13
1,549
-1
30 Aug 2026, 12:13
1,550
-1
24 Aug 2026, 13:15
1,551
+2
20 Aug 2026, 21:44
1,549
-1
18 Aug 2026, 02:03
1,550
+3
14 Aug 2026, 18:17
1,547
-7
11 Aug 2026, 18:52
1,554
-1
9 Aug 2026, 03:53
1,555
+4
6 Aug 2026, 11:04
1,551
+1
6 Aug 2026, 09:03
1,550
no change
6 Aug 2026, 08:57
1,550
first reading
Engagement
16 posts held, back to 10 October 2025 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 2 pages of Telegramβs 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 β we hold 16 posts for this entry, the most recent from 14 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9s
Average length
9s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
Reaction mix
116 reactions across 14 posts, in 12 distinct kinds. The most used accounts for 23.3% of them.
Every reaction kind recorded on the sample, most used first
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 14 of the 16 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 116 reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 16 most recent posts we hold, published 10 October 2025 to 14 July 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
3
of 16 we hold a reading for Β· 19%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars β bought with money β on a post by @tgtester. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 16 most recent posts we hold for this entry, published 10 October 2025 to 14 July 2026. Star counts above 1,000 reach us in Telegramβs short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram adds rich text editor, communities, more GIFs
Telegramβs update adds a rich text editor for long posts, Communities for organizing related chats, private bot replies within groups, and a rebuilt GIF search indexing 350M animations across 36 languages within its own system.
π #telegram @testingcatalog
ICYMI: Telegram launches smartwatch apps and rich formatting for bots
Telegram launched smartwatch apps for Apple Watch and Wear OS, bringing messaging, media viewing and chat controls to the wrist. The update also adds rich bot formatting, guardian bots, longer messages and new privacy-focused browsing controls.
π #telegram @testingcatalog
Telegram ships major update for AI bots and automations
Telegramβs latest update turns chats into an AI agent layer with Guest Bots, bot-to-bot messaging, streaming replies, profile chat automation, custom writing styles, AI sticker search, and new admin controls.
π #telegram @testingcatalog
Telegram adds AI text editor and upgraded polls for all users
Telegram has launched an update featuring a Cocoon AI-powered Text Editor that corrects, translates, and restyles messages with privacy protection and no data retention. The release also upgrades polls with media support, custom options, quiz modes, and advanced admin controls.
π #telegram
Telegram is testing AI tools for writing on iOS beta version, where users will be able to use Cocoon to improve and fix their text as well as translate it to other languages.
Member Tags, Login with Telegram, Disable Sharing, GIF Editing, Date Formatting, Voting Timestamps
https://telegram.org/blog/member-tags-disable-sharing-and-more
Telegram revamps app with new interface and craftable gifts
Telegram's latest update introduces a redesigned Android interface with improved navigation and performance, iOS enhancements like upgraded media viewing, a collectible gift crafting system, updated group management tools, and bot interface customization.
π #telegram
Telegram adds AI summaries powered by Cocoon network
Telegram's 2026 update introduces AI-powered summaries for channel posts and Instant View pages using encrypted, decentralized open-source models. It also adds a Liquid Glass interface on iOS with adjustable visual effects for performance control.
π #telegram
Telegram released its first AI feature powered by Cocoon. New AI Summaries will become available on long-form posts and Instant View pages.
This feature is powered by open-source models running on Confidential Compute Open Network created by Telegram.
Passkeys, Gift Purchase Offers and More
https://telegram.org/blog/passkeys-and-gift-offers
β€4
Signed Alexey
Showing the 12 most recent of 16 posts we hold for @tgtester. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
Stars beside a post are paid reactions β Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 β 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 β the βNamed by N registered channelsβ 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 15 September 2026 β this
entry's latest reading, not the date you are reading this.
βtelegram-beta πβ (@tgtester), 1,543 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/tgtester.
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 Β· 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.