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BD: @TonAppNet
Created
20 June 2024 — measured — dated from the channel’s first post
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
29 measurements spanning 32 days, net -24,076. 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 451,990–483,288 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
8 Sept 2026, 21:41
455,601
-2,421
5 Sept 2026, 12:57
458,022
-1,785
3 Sept 2026, 14:56
459,807
-939
2 Sept 2026, 07:04
460,746
-879
1 Sept 2026, 03:53
461,625
-883
31 Aug 2026, 01:26
462,508
-845
30 Aug 2026, 00:05
463,353
-765
29 Aug 2026, 00:37
464,118
-685
28 Aug 2026, 00:24
464,803
-669
26 Aug 2026, 22:06
465,472
-753
25 Aug 2026, 19:12
466,225
-773
24 Aug 2026, 15:39
466,998
-1,442
22 Aug 2026, 22:43
468,440
-1,085
21 Aug 2026, 13:36
469,525
-651
20 Aug 2026, 13:04
470,176
-492
19 Aug 2026, 14:17
470,668
-575
18 Aug 2026, 17:44
471,243
-708
17 Aug 2026, 15:37
471,951
-1,104
16 Aug 2026, 08:07
473,055
-1,069
14 Aug 2026, 21:35
474,124
first reading
Engagement
14 posts held, back to 20 June 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.707%
avg views ÷ 455,601 subscribers
Avg views / post
3,220
2 posts measured
Reaction rate
0.171%
reactions ÷ views · ER floor
Posts in window
2
of 14 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
Window
Rolling 30 days · latest post in window 4 September 2026
Posts held
14 (20 June 2024 – 4 September 2026)
Views total
6,440
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 02:30 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
Photos
12
Videos
1
Links
12
Lifetime counters from Telegram’s own channel header, read 9 September 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
19s
Average length
19s
Measured directly from 1 video 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
140 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 90.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
127
90.7%
👍
6
4.29%
🔥
3
2.14%
❤🔥
2
1.43%
🌭
1
0.714%
😁
1
0.714%
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 13 of the 14 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 140 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 20 June 2024 to 4 September 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.
There’s a group on FOMO called TroupeFTM.
It’s made up of just 15 traders, yet this group reportedly made $10M in profits on FOMO in just one month — that’s almost $100M RMB in only 30 days.
Absolutely insane. It’s basically a money-printing machine. 🖨💰
And the biggest player in the group, theunipcs, reportedly made around $9M alone.
I highly recommend keeping an eye on some of the top-ranked traders in this gro…
🎮 I just found a crazy open-source project: Claude-Code-Game-Studios
⭐️ 11,574 GitHub stars
📈 +1,107 stars today
So what is it?
An entire AI-agent-powered game development studio.
Sounds futuristic, right?
But the real impact is much bigger.
🎯 The old way:
A game usually needs:
👨💻 Developers
🎨 Artists
📝 Game designers
🧪 QA testers
⚙️ Technical artists
Even a small team can easily require 5–10 people.
Now this pr…
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💳 Use MPay Visa Card
⚡️ Top up with USDT
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Supported platforms include:
☁️ Hetzner
☁️ OVHcloud
☁️ Cloudflare
☁️ G-Core
…and more.
🚀 Alibaba just open-sourced Wan-Dancer.
Turn one character image + one audio track into a fully synchronized AI dance video.
🎵 Just upload:
🖼 One portrait
🎧 One music/audio file
The AI handles the rest.
✨ What's impressive?
The biggest challenge in AI dance generation has always been accurate beat synchronization.
Wan-Dancer makes a major leap forward, producing dance movements that stay closely aligned with the …
🚨 This is insane.
Creating a real AI video for just $0.15?
This open-source project is making traditional editing workflows look ancient 😱🔥
Every day people jump between different AI tools trying to generate videos…
❌ Character consistency breaks
❌ Camera angles drift
❌ Editing feels random
Honestly, it’s enough to drive creators crazy.
Then I found a project that’s suddenly everywhere:
👉 OpenMontage
In simple te…
🚨 This one is exploding.
Looks like we just found a real money-printing machine for short-form content.
MoneyPrinterTurbo just crossed 90k+ GitHub Stars — fully open source and completely free.
Give it ONE topic.
That’s it.
It automatically generates a complete short video ready to publish on:
🎵 TikTok
🎬 Reels
▶️ YouTube Shorts
And the workflow is ridiculous:
✍️ AI writes the script
🎙 AI generates the voiceover
🖼 …
🚨 This is absolutely wild.
An open-source AI tool helped someone with zero drawing skills grow from nothing to 4.6 MILLION followers.
People used to think short-form drama content belonged to professional studios only.
🎙 Voice actors
🎬 3D production
✂️ Editing teams
💰 Huge budgets
Without tens of thousands of dollars, most people didn’t even bother trying.
Then this guy showed up with Jellyfish and broke the game.
…
🚨 One of the most viral AI video projects on GitHub just crossed 80,000+ Stars.
Meet MoneyPrinterTurbo — an open-source AI tool that can generate an entire short-form video from a single topic or keyword.
Just give it an idea.
The AI handles everything else.
🎬 Script
🖼 Visual assets
📝 Subtitles
🎵 Background music
📹 Final video rendering
All automatically.
⚡️ End-to-End Video Creation
No brainstorming.
No editing.…
🚨 If you're creating AI videos, pay attention.
I genuinely think this project could change a lot of people's workflows.
Meet ViMax — an open-source project from the University of Hong Kong that's already reached 9.1k+ GitHub stars and is growing fast.
The concept is simple:
Give it an idea.
📝 A prompt
🎬 A script
📖 Or even an entire novel
And ViMax handles the rest.
Instead of relying on a single AI model, it uses a …
🚨 This is getting ridiculous.
A new open-source voice AI called VoxCPM2 just hit #1 on GitHub Trending and has already surpassed 20,000+ stars.
And honestly?
The generated voices are becoming almost impossible to distinguish from real human speech.
🎙 Here's why everyone is talking about it:
1️⃣ Describe a voice in plain English
Just type something like:
"A calm woman in her 30s"
And VoxCPM2 will generate that voi…
🚨 A Chinese research lab just embarrassed half of the video industry.
Upload a single photo.
Upload a short audio clip.
And it generates a fully animated talking avatar with perfectly synchronized speech.
🎭 One image.
🎙 One voice recording.
⚡️ A realistic digital human in minutes.
The craziest part?
It’s completely open source.
Tasks that once required:
📹 Cameras
🎬 Video editors
🎭 Actors or presenters
💰 Production b…
🚨 This is absolutely insane.
Someone just built an AI that can literally understand candlestick charts and trade financial markets.
And the performance is exploding.
Meet Kronos — the world’s first open-source foundation model built specifically for financial markets. 📈
This isn’t a generic AI model hacked into finance.
Kronos was trained FROM SCRATCH using:
📊 12 BILLION real candlestick records
🏦 Data from 45 global…
❤23🌭1
Showing the 12 most recent of 14 posts we hold for @AiWireMoney. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Polymarket Labs|Prediction Market Signals @Polymarket_Labs · 391,357 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 10 August 2026
Common Sense Money (by Tim Tursun) @TimTursunov · 535,697 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 10 August 2026
Reserve @whitechainnews · 62,354 Telegram ranks this channel #22 of 63 here — alongside 62 others — read 8 September 2026
Crypto Binaca @CryptoBinaca · 160,015 Telegram ranks this channel #23 of 77 here — alongside 76 others — read 16 August 2026
Reserve @whiteswapfinance · 29,291 Telegram ranks this channel #34 of 66 here — alongside 65 others — read 8 September 2026
Crypto Spy | Bitcoin News @the_cryptospy · 129,898 Telegram ranks this channel #34 of 90 here — alongside 89 others — read 13 August 2026
Crypto Radar | On-Chain Newsflash @CryptoRadarHQ · 735,948 Telegram ranks this channel #49 of 87 here — alongside 86 others — read 8 August 2026
Crypto News @crypto_news_l · 99,775 Telegram ranks this channel #61 of 89 here — alongside 88 others — read 15 August 2026
Unlock Crypto | Crypto NEWS @UnlockCryptoCompany · 30,101 Telegram ranks this channel #63 of 67 here — alongside 66 others — read 7 September 2026
Crypto Mason 👁 Bitcoin News @thecrypto_mason · 167,301 Telegram ranks this channel #71 of 90 here — alongside 89 others — read 12 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
2 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“AIWire|AI Tools & Money Opportunities” (@AiWireMoney), 455,601 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/AiWireMoney.
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.