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Channel

Belong

@belongnet

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

45,024subscribers

+36,182 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002161773750
TypeChannel
Username@belongnet
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live29 October 2026
Measurements held34
Confirmed unchanged1 time, most recently 29 October 2026
On Telegramt.me/belongnet

Topic

Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 the other topics.

Growth

8,42745,06726,7476 August 2026 — 8,842 subscribers6 August 2026 — 8,842 subscribers6 August 2026 — 8,841 subscribers9 August 2026 — 8,822 subscribers12 August 2026 — 8,802 subscribers16 August 2026 — 8,710 subscribers18 August 2026 — 8,653 subscribers21 August 2026 — 8,639 subscribers25 August 2026 — 8,622 subscribers28 August 2026 — 8,600 subscribers31 August 2026 — 8,575 subscribers3 September 2026 — 8,545 subscribers9 September 2026 — 8,464 subscribers13 September 2026 — 8,453 subscribers17 September 2026 — 8,427 subscribers26 September 2026 — 23,985 subscribers4 October 2026 — 29,024 subscribers8 October 2026 — 34,087 subscribers13 October 2026 — 34,034 subscribers14 October 2026 — 34,012 subscribers15 October 2026 — 33,993 subscribers16 October 2026 — 33,971 subscribers17 October 2026 — 33,967 subscribers18 October 2026 — 33,957 subscribers19 October 2026 — 33,951 subscribers20 October 2026 — 33,939 subscribers21 October 2026 — 33,928 subscribers23 October 2026 — 33,909 subscribers24 October 2026 — 39,004 subscribers25 October 2026 — 38,985 subscribers26 October 2026 — 39,130 subscribers26 October 2026 — 39,087 subscribers28 October 2026 — 45,067 subscribers29 October 2026 — 45,024 subscribers45,0246 August 202629 October 2026
34 measurements spanning 84 days, net +36,182. 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 2,931–50,563 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
29 Oct 2026, 00:3045,024-43
28 Oct 2026, 00:4445,067+5,980
26 Oct 2026, 23:0639,087-43
26 Oct 2026, 00:3739,130+145
25 Oct 2026, 03:3138,985-19
24 Oct 2026, 00:2939,004+5,095
23 Oct 2026, 00:0633,909-19
21 Oct 2026, 21:2633,928-11
20 Oct 2026, 18:2933,939-12
19 Oct 2026, 19:5733,951-6
18 Oct 2026, 19:4633,957-10
17 Oct 2026, 19:1833,967-4
16 Oct 2026, 21:3633,971-22
15 Oct 2026, 19:5133,993-19
14 Oct 2026, 16:2734,012-22
13 Oct 2026, 06:3534,034-53
8 Oct 2026, 22:4134,087+5,063
4 Oct 2026, 14:3729,024+5,039
26 Sept 2026, 11:0023,985+15,558
17 Sept 2026, 10:418,427first reading

Engagement

63 posts held, back to 1 June 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 91 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.3%
avg views ÷ 45,024 subscribers
Avg views / post
9,580
23 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
23
of 63 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 22 of 23 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 October 2026
Posts held63 (1 June 2026 – 28 October 2026)
Views total220,409
Reactions total2,351
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Oct 2026, 15:13 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
2m 16s
Average length
34s

Measured directly from 4 videos 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

10,218 reactions across 62 posts, in 15 distinct kinds. The most used accounts for 17.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,81217.7%
🔥1,79817.6%
👍1,71816.8%
🎉1,70616.7%
👏1,27312.5%
🥰1,05310.3%
🤩2702.64%
💯1491.46%
😍1121.10%
😢790.773%
🥱780.763%
🍌660.646%
😡640.626%
❤‍🔥390.382%
👾10.01%

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 62 of the 63 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 10,218 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 63 most recent posts we hold, published 1 June 2026 to 28 October 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
17
across the posts below
Posts paid on
17
of 63 we hold a reading for · 27%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @belongnet. 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 63 most recent posts we hold for this entry, published 1 June 2026 to 28 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

28 Oct 2026, 08:08 UTC95 views79 reactionsread 28 October 2026
Photo

Create Events Through MCP Ask an AI agent to set up an event by clicking through a web page and you know how it goes: one moved button breaks the run, or the event record comes out only half right. For teams running real venues, that’s not a risk worth taking. Belong MCP gives connected agents defined event tools. Creating and managing events becomes a structured call with clear inputs, so the details you intended …

👍20🔥17🤩17👏13🎉12

26 Oct 2026, 16:59 UTC184 views76 reactionsread 28 October 2026
Photo

Set the Reward Before Doors When the queue is moving, there’s no time to work out what a guest was promised. Improvised rewards lead to mixed messages at the door and guests who get different answers from different staff. Decide the offer and the trigger up front, then brief your door team before the first check-in. From then on, every eligible arrival gets the same experience, and your team knows exactly what to h…

👍20🎉19🤩14🔥12🥰11

25 Oct 2026, 11:15 UTC≈1,240 views66 reactionsread 28 October 2026
Photo

Set Capacity Before Sales Every host knows the moment: the ticket count passes what the room can hold, and the door team has to turn away guests who thought they were set. Fixing it at the door is the hardest place to do it. With Belong CheckIn, you set the event capacity before launch. Sales stay within the room, and your door team has one clear ceiling to work from when guests start arriving. Everyone knows the n…

👍16🎉14🤩13🥰12👏11

24 Oct 2026, 17:05 UTC≈10,000 views77 reactionsread 28 October 2026

🚀 What's New in Belong — Oct 24, 2026 🐛 FIXES • Event locations restored before publishing — Events that lost their location during creation now recover it automatically, and the description review step is no longer skipped, so listings show the correct venue. 📱 • Venue settings stay put — Hub settings no longer reset on their own; the changes you save now stick. • Smoother wallet sign-in — The one-time passcode fie…

👍25🤩16🎉15🥰14👏7

23 Oct 2026, 20:46 UTC≈9,490 views73 reactionsread 28 October 2026
Photo

VIP Scanned, Host Paged A VIP walks in, gets scanned, and then nothing happens. The scan sits at the door while the host is somewhere across the venue, unaware that their most important guest has arrived. By the time someone asks where the VIP went, the moment has already passed. Belong CheckIn webhooks close that gap. When a guest is scanned, your venue systems get notified right away, so you can page the host, al…

🎉18👏17❤13🔥13🥰12

21 Oct 2026, 13:09 UTC≈14,400 views181 reactionsread 28 October 2026

🚀 What's New in Belong — Oct 21, 2026 ✨ NEW FEATURES • Stake LONG on your venue — Hub owners can manage LONG staking from the check-in area and preview exactly what each check-in will pay out before committing funds. 💡 🔧 IMPROVEMENTS • Card checkout result screens — Card ticket payments now end on dedicated success/failure screens with their own artwork, so it's clear at a glance whether your payment went through. …

🎉46❤45🤩38👍34👏18

20 Oct 2026, 14:20 UTC≈12,100 views82 reactionsread 28 October 2026
Photo

🚪 Fit the Door to the Crowd Every venue has its own rhythm. 🎶 A club at midnight needs guests through the door fast, while a seated conference needs a calmer, more orderly arrival. Forcing both through the same check-in flow means either a queue outside or a bottleneck at the desk. Belong CheckIn gives organizers multiple check-in modes, so entry can match the venue, the size of the team on the door, and the guests…

🥰20🤩17🎉16👍16👏13

19 Oct 2026, 19:09 UTC≈12,400 views64 reactionsread 28 October 2026
Photo

📍 Put the QR Before Entry A QR sign behind the bar is too late if guests need it at the door. By the time they spot it, they’re already at the host desk and the line is building. 🚪 Move the scan point to the approach, on the entrance, the queue barrier, or the walkway in. Guests scan as they walk up, staff stop answering the same question twenty times, and check-in starts before anyone reaches the front. ✅ 👀 See v…

❤16👍14🔥13🥰12🎉9

19 Oct 2026, 04:46 UTC≈12,800 views90 reactionsread 28 October 2026
Photo

📍 Check the Address Before You Launch A launch page with the wrong venue address creates support work before the event even begins. 😅 Guests ask where to go, organizers answer the same question again and again, and the day starts with avoidable friction. Belong’s MCP address tools let you work with the location record before event setup moves forward. ✅ The address is confirmed first, so guests receive the place th…

👍20🎉19🥰19🤩18❤14

18 Oct 2026, 18:16 UTC≈11,900 views81 reactionsread 28 October 2026
Photo

🍸 Bar Sales Meet Check-In A packed bar and a busy door are the same night, but for many venues they end up as two separate records: one in the POS, one at the entrance. Piecing them together afterward takes time that hospitality teams rarely have. 🕐 Belong CheckIn’s POS and event webhooks send purchase activity and event activity straight into the systems your venue already uses. Teams can see what a guest did at t…

🥰21🎉19👍15👏14❤12

18 Oct 2026, 12:42 UTC≈11,700 views81 reactionsread 28 October 2026

🚀 What's New in Belong — Oct 15-18, 2026 🐛 FIXES • Outdated monitoring results now appear neutral • Fixed card ticket purchases completing again • Check-in campaign previews now show the venue location • Venue reward targets now save before first deposit • Passkey setup now offered after email verification • Shared Hub pages now show your saved venue branding • Rejected ticket purchases no longer hold NFTs • Hub pag…

🥰19❤18👏18🎉14🔥12

14 Oct 2026, 10:17 UTC≈12,400 views75 reactionsread 28 October 2026
Photo

⚡ Check-In Fires, POS Reacts A guest checks in, and then someone at the counter has to re-enter it into the POS. That extra step slows the line and invites mistakes. 🧾 With Belong CheckIn webhooks, a check-in can trigger your POS automatically, so event activity reaches the systems already working at the counter. One check-in, fewer manual steps. 🔔✨ Webhook and POS guide 👉 https://docs.belong.net/belong-checkin/de…

🔥18👍17👏17🤩12🎉11

Showing the 12 most recent of 63 posts we hold for @belongnet. 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

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

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

“Belong” (@belongnet), 45,024 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/belongnet.

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.