15 measurements spanning 14 days, net -599. 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 36,568–37,347 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 01:28
36,658
-65
20 Aug 2026, 17:22
36,723
-42
19 Aug 2026, 17:46
36,765
-58
18 Aug 2026, 16:33
36,823
-26
17 Aug 2026, 19:44
36,849
-60
16 Aug 2026, 15:15
36,909
-60
14 Aug 2026, 23:34
36,969
-47
13 Aug 2026, 17:17
37,016
-41
12 Aug 2026, 17:08
37,057
-36
11 Aug 2026, 19:02
37,093
-44
10 Aug 2026, 15:51
37,137
-46
9 Aug 2026, 17:02
37,183
-16
8 Aug 2026, 20:13
37,199
-40
7 Aug 2026, 22:31
37,239
-18
7 Aug 2026, 13:33
37,257
first reading
Engagement
20 posts held, back to 11 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 34 pagesof 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 20 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
94
Videos
34
Links
110
Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
48s
Average length
24s
Measured directly from 2 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
6,950 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 73.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,102
73.4%
👍
1,264
18.2%
🎉
336
4.83%
👏
248
3.57%
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 20 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 6,950reactions 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 11 December 2025 to 20 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
95
across the posts below
Posts paid on
12
of 20 we hold a reading for · 60%
Most on one post
28
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dTelecomNetwork. 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 20 most recent posts we hold for this entry, published 11 December 2025 to 20 July 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.
🚀 Big dMeet update: Team Workspaces are live
Your company now gets a shared AI Memory built from its own meetings.
• Persistent rooms for every team (Marketing, Sales, Product...)
• Shared meeting history with summaries, decisions, action items
• Ask questions across all meetings - ChatGPT-style, with answers linked to the source
• Roles, shared AI credits, one subscription for the whole team
The more meetings you…
Earlier we outlined our integration of x402. Here’s how it will express in dMeet.
Real-time translation runs as audio flows through STT, is translated, converted back via TTS, and streamed to the listener.
Instead of locking this behind subscriptions or fixed plans, each session (or minute) can be priced dynamically.
If payment is required:
х402 with the price ➡️ programmatic pay ➡️ continue the call.
Usage-based…
Legacy infra is about human <> human
Today's reality is human <> agent
Real-time infra is not just about:
- Voice
- Video
- Routing
It's also about:
✅ Edge AI
✅ STT (speech-to-text)
✅ TTS (text-to-speech)
✅ x402 payments
✅ Cost efficient latency
Same thesis.
Bigger surface area.
Voice AI — already available via API/SDK.
FROGY 👉 Invisible Web3 Adoption
- Viewers join from mobile
- Top up via Apple/Google Pay
- Donate like they always do
Under the hood:
- USDC on Solana
- On-chain rewards
- Ownership logic
😌 Web2 UX
😎 Web3 rails
Join real adoption 👇
Earn portion of $2.6M airdrop
FROGY_LIVE is a next-gen live-streaming on Solana
On Feb alone:
🔸 9K+ unique Web2 viewers
🔸 10+ min average session duration
Web2 streamers
Web2 audience
Usage and Revenue - first.
Runs on dTelecom rails.
Creator economy didn’t fail.
Infra running it did.
FROGY fixes it:
🔸 90% revshare with creators
🔸 Instant USDC payouts
🔸 Web2 UX on Web3 rails
No platform tax.
No 30-day waits.
No crypto friction.
Next-gen live-streaming on Solana
Powered by dTelecom
Stream. Earn. Own.
Voice AI: $2.4B → $47B (by 2034)
So we shipped the rails.
First x402 real-time STT:
🔸 AI agent → pays in USDC → gets live transcription
🔸 $0.005/min. No API
🔸 Cheaper then OpenAI ($0.006), Deepgram ($0.0077), Google ($0.016), Azure ($0.017), AWS ($0.024).
🤖-to-🤖 commerce is LIVE
Thanks to Father of AGI - Benjamin Goertzel - for inspiration and validation.
The $3.5T telecom industry is being rebuilt on-chain ⛓️
dTelecom is the default DePIN layer for real-time voice, video, and AI.
🔸Backed by:
- Solana Foundation
- Google
- peaq
- ElevenLabs
🔸Traction:
50K+ users
35M+ mins processed
The $2.6M Airdrop is now LIVE
👉 Join: http://rewards.dtelecom.org
dTelecom Startup Grants are LIVE 🔥
dTelecom Startup Grants = production-grade real-time infra, free for 6 months.
1️⃣ What selected teams get
• 6 months of dTelecom Plus (≈ $9,240 value)
• Unlimited voice & video minutes
• AI-native features: transcription, translation, agent-ready SDKs
• Up to 1 Gbps throughput (real traffic, real load)
• Access to decentralized real-time network (dRTC)
• Direct access to dTeleco…
"Hype fades. Infrastructure compounds"
Fresh article from dTelecom CEO Petr Malyukov breaking down why real infra is where long-term value is built once the FOMO is gone.
🔸From narratives → fundamentals
🔸From speculation → execution
🔸From trending → what actually scales
Published by Saudi Moments - one of the leading publishers in MENA (also behind INC Arabia).
Read it here 👇
https://saudimoments.com/beyond-tech…
Enterprise outages now cost
$14,056 per minute 😱
Not because systems fully go down,
but because teams spend 20–40% of that time just figuring out who’s affected.
👉 That’s $2,800–$5,600 wasted every minute.
👉 Over a 4-hour incident: $750K–$1.5M burned.
Now you know, why web2 “trust us” doesn’t scale any more.
In real-time infra things like
🔸 visibility
🔸 verifiability
🔸 control
aren’t nice-to-haves
they’re cost co…
This is the full picture behind dTelecom’s vertically integrated DePIN ↓
1️⃣ Infrastructure
dTelecom -- the foundation
• ~95% cheaper than legacy RTC
• 100k+ concurrent sessions
• sub-100ms real-time routing
• open source, customizable
↓↓↓
2️⃣ Enterprise
dMeet - open source video conference app -- B2B validation
• teams and enterprises using decentralized conferencing
• reliability tested under real business load…
❤33👍6👏3
Showing the 12 most recent of 20 posts we hold for @dTelecomNetwork. 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.
Stars beside a post are paid reactions — 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.
Citation-graph rank
Citation-graph rank — 329,969 of 1,584,142entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“dTelecom” (@dTelecomNetwork), 36,658 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/dTelecomNetwork.
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.