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Channel

Prom

@prom_ann

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

22,342subscribers

-1,244 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001490320686
TypeChannel
Username@prom_ann
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/prom_ann

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

22,34223,58622,9646 August 2026 — 23,586 subscribers6 August 2026 — 23,586 subscribers6 August 2026 — 23,566 subscribers7 August 2026 — 23,544 subscribers8 August 2026 — 23,517 subscribers9 August 2026 — 23,492 subscribers10 August 2026 — 23,469 subscribers11 August 2026 — 23,425 subscribers12 August 2026 — 23,399 subscribers14 August 2026 — 23,350 subscribers15 August 2026 — 23,305 subscribers16 August 2026 — 23,260 subscribers17 August 2026 — 23,225 subscribers18 August 2026 — 23,176 subscribers19 August 2026 — 23,138 subscribers20 August 2026 — 23,125 subscribers22 August 2026 — 23,068 subscribers24 August 2026 — 23,005 subscribers25 August 2026 — 22,969 subscribers26 August 2026 — 22,939 subscribers27 August 2026 — 22,921 subscribers28 August 2026 — 22,888 subscribers29 August 2026 — 22,871 subscribers30 August 2026 — 22,839 subscribers31 August 2026 — 22,814 subscribers1 September 2026 — 22,796 subscribers2 September 2026 — 22,770 subscribers3 September 2026 — 22,727 subscribers4 September 2026 — 22,702 subscribers7 September 2026 — 22,628 subscribers10 September 2026 — 22,529 subscribers12 September 2026 — 22,492 subscribers14 September 2026 — 22,443 subscribers16 September 2026 — 22,397 subscribers18 September 2026 — 22,342 subscribers6 August 202618 September 2026
35 measurements spanning 43 days, net -1,244. 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 22,155–23,773 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
18 Sept 2026, 12:5822,342-55
16 Sept 2026, 02:1922,397-46
14 Sept 2026, 09:0022,443-49
12 Sept 2026, 19:4122,492-37
10 Sept 2026, 18:2022,529-99
7 Sept 2026, 14:0122,628-74
4 Sept 2026, 18:2022,702-25
3 Sept 2026, 06:4822,727-43
2 Sept 2026, 03:5822,770-26
1 Sept 2026, 04:1422,796-18
31 Aug 2026, 03:5422,814-25
30 Aug 2026, 06:1422,839-32
29 Aug 2026, 08:5622,871-17
28 Aug 2026, 05:5622,888-33
27 Aug 2026, 04:0822,921-18
26 Aug 2026, 04:2322,939-30
25 Aug 2026, 04:2222,969-36
24 Aug 2026, 01:2323,005-63
22 Aug 2026, 08:0823,068-57
20 Aug 2026, 19:2523,125first reading

Engagement

27 posts held, back to 22 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.67%
avg views ÷ 22,342 subscribers
Avg views / post
372
3 posts measured
Reaction rate
7.17%
reactions ÷ views · ER floor
Posts in window
3
of 27 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 August 2026
Posts held27 (22 May 202626 August 2026)
Views total1,116
Reactions total80
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 12:04 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.

Reaction mix

773 reactions across 27 posts, in 11 distinct kinds. The most used accounts for 40.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥31240.4%
24331.4%
👍12315.9%
👏709.06%
🙏111.42%
💯81.03%
😁20.259%
🎉10.129%
👌10.129%
🤔10.129%
🥰10.129%

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 27 of the 27 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 773 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 22 May 2026 to 26 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

26 Aug 2026, 20:32 UTC338 views21 reactionsread 3 September 2026
Photo

𝗣𝗥𝗢𝗠 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 × 𝗔𝗿𝗼 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 🚀 An agent needs something done close to the user. Bandwidth here, a little compute there, storage somewhere else. 𝗔𝗥𝗢 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 turns that into a network of edge nodes, where anyone can contribute capacity and be paid for what they're actually delivering. At 𝗣𝗥𝗢𝗠, we're building the economic layer for that kind of exchange. 🔹 𝗪𝗵𝗮𝘁 𝗔𝗥𝗢 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝘀: • edge nodes contributing compute,

👍13👏53

24 Aug 2026, 12:56 UTC366 views35 reactionsread 3 September 2026
Photo

🔥 NEW LISTING 🔥 Great news — PROM is now live on Bithumb’s KRW market 🇰🇷 Trading started today, August 24, at 13:00 KST / 04:00 UTC. Official announcement: https://feed.bithumb.com/notice/1654581

21🔥12🎉1👍1

21 Aug 2026, 14:13 UTC412 views24 reactionsread 3 September 2026
Photo

𝗣𝗥𝗢𝗠 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 × @𝗛𝗶_𝗣𝗼𝗣𝗣𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 🚀 A wallet address says almost nothing. What it did says a great deal. 𝗣𝗼𝗣𝗣 turns that history into a living profile, labelling users by on-chain behaviour and letting applications recognise them without ever learning who they are. At 𝗣𝗥𝗢𝗠, we're building the economic layer where such a profile gets used: access and payments that respond to trust signals rather than treating every

16🔥5👍1👏1🥰1

18 Aug 2026, 21:51 UTC413 views36 reactionsread 3 September 2026
Photo

𝗣𝗥𝗢𝗠 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 × 𝗤𝗶𝘁𝗺𝗲𝗲𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 🚀 𝗤𝗶𝘁𝗺𝗲𝗲𝗿 is building L1 blockchain infrastructure, with a focus on network throughput and settlement finality. At 𝗣𝗥𝗢𝗠, we're developing programmable economic infrastructure — payments, escrow, and automated settlements for autonomous systems. This collaboration opens room to explore where the two layers can connect across the wider Web3 ecosystem. More updates soon. 🚀 Website |

👏24💯8🔥4

17 Aug 2026, 20:40 UTC395 views23 reactionsread 3 September 2026
Photo

𝗣𝗥𝗢𝗠 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 × 𝗖𝗹𝘂𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 🚀 Agent work is stretching across more than one place at once — one chain for identity, another for execution, a payment rail picked per integration. Coordination has kept up with that. Settlement mostly hasn't. 𝗖𝗹𝘂𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 is building the orchestration layer for it. At 𝗣𝗥𝗢𝗠, we're building the programmable economic layer underneath. 🔹 𝗪𝗵𝗮𝘁 𝗖𝗹𝘂𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝘀: • orches

👍18🔥4🙏1

13 Aug 2026, 14:41 UTC427 views5 reactionsread 3 September 2026

𝗣𝗥𝗢𝗠 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 × 𝗡𝗲𝗯𝘂𝗹𝗮𝗶 🚀 Compute sits at the bottom of the agent stack. 𝗡𝗲𝗯𝘂𝗹𝗮𝗶 is building that layer as a distributed one — idle hardware around the world pooled into a network that runs AI workloads, with a platform on top where developers deploy agents onto it. At 𝗣𝗥𝗢𝗠, we're building the layer that comes after execution: micropayments and automated settlement. 🔹 𝗪𝗵𝗮𝘁 𝗡𝗲𝗯𝘂𝗹𝗮𝗶 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝘀: • distributed compute

👍3🔥1🙏1

9 Aug 2026, 21:49 UTC449 views27 reactionsread 3 September 2026
Photo

𝗣𝗥𝗢𝗠 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 × @𝗔𝗴𝗲𝗻𝘁𝘂𝗺_𝘀𝗽𝗮𝗰𝗲 🚀 An agent posts a task with the budget already locked. Others bid for it, staking collateral. One does the work sealed inside a trusted execution environment, the result is proven correct, and the escrow releases on its own. That loop is what 𝗔𝗴𝗲𝗻𝘁𝘂𝗺 is building on BNB Chain. At 𝗣𝗥𝗢𝗠, we're building the programmable economic layer underneath work of exactly this shape. 🔹 𝗪𝗵𝗮𝘁 𝗔𝗴𝗲𝗻𝘁

19🔥6🙏2

6 Aug 2026, 02:22 UTC514 views35 reactionsread 3 September 2026
Photo

🚀 𝗣𝗥𝗢𝗠 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 × 𝗭𝘆𝗽𝗵𝗲𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 An agent can commit its prompt on-chain before it runs, then prove afterwards that nothing was altered — without revealing what the prompt contained. That is Proof of Prompt, and it anchors what 𝗭𝘆𝗽𝗵𝗲𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 is building: a decentralized audit layer for AI agents, with community-run Prover nodes generating the proofs instead of a central validator. At 𝗣𝗥𝗢𝗠, we're building the sett

🔥25👏82

28 Jul 2026, 23:35 UTC555 views27 reactionsread 3 September 2026
Photo

🚀 PROM ecosystem × ArcNova ArcNova is building AI-powered entertainment and storytelling infrastructure for creators and audiences. At PROM, we're developing programmable economic infrastructure for payments, value exchange, and automated settlements. This collaboration opens room to explore how AI-generated content and creator-driven experiences can connect with native monetization logic. As AI becomes part of dig

🔥21👍5🙏1

25 Jul 2026, 22:01 UTC511 views7 reactionsread 3 September 2026

🚀 PROM ecosystem × Aegis AI Aegis AI is building AI-powered risk intelligence for Web3 — helping detect threats, assess on-chain behavior, and make decentralized interactions safer. At PROM, we're building the economic layer for autonomous systems — enabling programmable payments, escrow, and automated settlements. 🔹 What Aegis AI provides: • AI-powered risk intelligence • threat detection for Web3 interactions • o

👏3🔥21🙏1

21 Jul 2026, 23:55 UTC508 views10 reactionsread 3 September 2026
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🚀 PROM ecosystem × ExpandZK ExpandZK is building trustless data verification infrastructure for Web3 and AI agents — enabling real-world and Web2 data to be authenticated without exposing sensitive information. At PROM, we're building the economic layer for autonomous systems — enabling programmable payments, escrow, and automated settlements. 🔹 What ExpandZK provides: • trustless Web2 data verification • privacy-p

👍7🔥21

21 Jul 2026, 00:33 UTC468 views24 reactionsread 3 September 2026
Photo

🚀 PROM ecosystem × @Wager_Predict Wager Predict is building permissionless prediction markets on BNB Chain — enabling users to price future outcomes and turn forecasts into on-chain activity. At PROM, we're building the economic layer for AI agents and autonomous systems — enabling programmable payments, escrow, and automated settlements. 🔹 What Wager Predict provides: • permissionless prediction markets • on-chain

🔥14👏91

Showing the 12 most recent of 27 posts we hold for @prom_ann. 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 2 registered channels — 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.

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.

Haust Network Updates
@haustnetwork · 95,204
Telegram ranks this channel #16 of 81 here — alongside 80 others — read 2 September 2026
ZNS Connect Name Service
@znsconnect · 45,003
Telegram ranks this channel #19 of 95 here — alongside 94 others — read 27 August 2026
$RWAINC Announcements
@RWA_Inc_Announcements · 40,878
Telegram ranks this channel #25 of 87 here — alongside 86 others — read 29 August 2026
Self Chain
@selfchainxyz · 107,189
Telegram ranks this channel #28 of 91 here — alongside 90 others — read 14 August 2026
Morph Layer Announcement
@MorphL2announcement · 652,234
Telegram ranks this channel #30 of 92 here — alongside 91 others — read 25 August 2026
Web3World Exchange
@w3w_exchange · 29,540
Telegram ranks this channel #43 of 81 here — alongside 80 others — read 8 September 2026
Zealy
@Zealy_Announcement · 57,524
Telegram ranks this channel #54 of 86 here — alongside 85 others — read 26 August 2026
Stability World AI - Channel
@StabilityworldAI · 46,419
Telegram ranks this channel #63 of 80 here — alongside 79 others — read 26 August 2026
Blazpay Announcement
@BlazpayAnnouncement · 28,432
Telegram ranks this channel #68 of 85 here — alongside 84 others — read 9 September 2026
Kontos Announcements by Zecrey Labs
@ZecreyAnnouncement · 23,185
Telegram ranks this channel #74 of 86 here — alongside 85 others — read 19 September 2026
Allora Network Announcements
@alloranetworkannouncements · 54,245
Telegram ranks this channel #87 of 93 here — alongside 92 others — read 23 August 2026

This channel appears in 11 seed channels' Telegram-generated recommendation lists 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Prom” (@prom_ann), 22,342 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/prom_ann.

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.