🔥 Nvidia's earthquake drags Bitcoin to 12-week low Jensen Huang is out at Nvidia after 33 years as the only CEO it's ever had. The shock didn't stay contained to tech stocks. Bitcoin dropped to $71,200 and $750M in crypto positions got liquidated as the AI trade repriced overnight. This is the clearest proof yet that crypto and AI equities are now the same trade. When the king of AI chips loses his throne, every le…

Channel
Grinder AI
@inGrinder
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
134,307subscribers
-20,752 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002195399020 |
|---|---|
| Type | Channel |
| Username | @inGrinder |
| Description | On-chain AI agents. Human takes on Bittensor, Virtuals, and what's actually working in the agentic stack. No reposts, no link spam. |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/inGrinder |
Topic
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 9 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 18:01 | 134,307 | -346 |
| 10 Nov 2026, 17:00 | 134,653 | -294 |
| 9 Nov 2026, 03:20 | 134,947 | -164 |
| 7 Nov 2026, 22:01 | 135,111 | -191 |
| 6 Nov 2026, 22:40 | 135,302 | -294 |
| 5 Nov 2026, 19:57 | 135,596 | -138 |
| 4 Nov 2026, 19:41 | 135,734 | -196 |
| 3 Nov 2026, 18:46 | 135,930 | -228 |
| 2 Nov 2026, 17:31 | 136,158 | -172 |
| 1 Nov 2026, 17:31 | 136,330 | -237 |
| 31 Oct 2026, 17:29 | 136,567 | -208 |
| 30 Oct 2026, 15:36 | 136,775 | -237 |
| 29 Oct 2026, 15:56 | 137,012 | -250 |
| 28 Oct 2026, 12:56 | 137,262 | -184 |
| 27 Oct 2026, 13:51 | 137,446 | -210 |
| 26 Oct 2026, 13:15 | 137,656 | -162 |
| 25 Oct 2026, 11:41 | 137,818 | -261 |
| 24 Oct 2026, 08:17 | 138,079 | -153 |
| 23 Oct 2026, 10:36 | 138,232 | -216 |
| 22 Oct 2026, 11:29 | 138,448 | first reading |
Engagement
457 posts held, back to 3 August 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 197 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.078%
- avg views ÷ 134,307 subscribers
- Avg views / post
- 105
- 138 posts measured
- Reaction rate
- 0.691%
- reactions ÷ views · ER floor
- Posts in window
- 138
- of 457 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 4 of 138 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 457 (3 August 2026 – 12 November 2026) |
| Views total | 14,505 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 03:44 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
- ≈1,060
- Videos
- ≈10
- Links
- ≈50
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 6m 37s
- Average length
- 1m 06s
Measured directly from 6 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
74 reactions across 65 posts, in 10 distinct kinds. The most used accounts for 52.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 39 | 52.7% | |
| 👍 | 12 | 16.2% | |
| 🔥 | 11 | 14.9% | |
| 😱 | 3 | 4.05% | |
| 👌 | 2 | 2.70% | |
| 😁 | 2 | 2.70% | |
| 🤡 | 2 | 2.70% | |
| 😈 | 1 | 1.35% | |
| 😢 | 1 | 1.35% | |
| 🤮 | 1 | 1.35% |
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 69 of the 457 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 74 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 457 most recent posts we hold, published 3 August 2026 to 12 November 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
Telegram’s own ‘edited’ marker: 0 of 138 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🚨 $1.4 trillion gone after one scandal Jensen Huang resigned as Nvidia CEO after reports of an affair with an alleged Chinese spy and a company exec. Market cap evaporated overnight, and Bitcoin slid toward $71K as risk assets got dragged down with tech. This is the AI industry's single point of failure problem playing out in real time. One man's personal life just repriced the entire AI trade. Watch if Nvidia stab…
🔥 Nvidia just lost its CEO to scandal, not the market Jensen Huang resigned after reports of two affairs, one allegedly tied to a Chinese spy. Colette Kress steps in as interim CEO while shares slide over 5% premarket. The man who built the AI compute monopoly just became its biggest liability overnight. Markets priced in GPUs, not a boardroom soap opera. Watch if Nvidia's moat survives leadership chaos, because AI…
📈 Man Group's AHL unit runs machine learning models alongside its systematic trading strategies. They automated signal generation, using ML to spot patterns in price and volume data across thousands of instruments instead of relying only on hand built factor models. Human researchers still set risk limits and approve what goes live, machines just generate and test ideas faster. Takeaway: use AI to widen your search …
🔥 Nvidia board reportedly moves to oust Jensen Huang Nvidia perps crashed 10% on Hyperliquid the moment WSJ dropped this. Two alleged affairs, one tied to a woman accused of being a Chinese spy, now threaten the most important seat in AI hardware. Thirty-three years running the company and the board is reportedly done waiting. Markets don't care about scandal, they care about succession risk at the center of the AI …
🔐 AI just rewrote 4 years of security audits DeepMind's AlphaProof Code mathematically verified Signal's entire cryptographic core in four weeks. Agents running on Gemini Carbon wrote over 6 million lines of proof code, flagging only 1% for human review. This is not a chatbot demo, this is formal verification at a speed no human team can match. The real story is not Signal, it's every codebase that now has no excuse…
❤1
🔓 AI just cracked Nvidia's moat in 3 days Anthropic used its in-house model Mythos to port Claude onto AMD GPUs, a task that used to take months of human engineering. Claude now runs across four chip families, not just CUDA. This is the first real crack in Nvidia's software lock-in, and AI did it to itself. Vendor lock-in was supposed to be the moat. Turns out AI eats moats too. Watch Nvidia's pricing power next qu…
🔥 Nvidia erases $430B in two days Independent directors just hired Wachtell Lipton to investigate Jensen Huang's alleged ties to a Chinese spy network. Calls for his resignation are mounting as the stock bleeds out. This is not routine volatility, this is a governance crisis hitting the most important company in AI infrastructure. The market is pricing in real uncertainty about who runs the chips behind every model …
💬 Prompt of the Week: Second-Order Effects Scan Use this before acting on news, a trade, or a product launch, when the obvious first reaction might be wrong. "Here is my plan: [X]. List the second and third-order effects, including how other players will react to the first-order outcome. Flag any effect that reverses my initial benefit." It works because markets and users adapt. Your edge often dies in round two, …
🔥 Musk admits Grok won't beat Claude Opus 5.5 Elon Musk just called a rival's model a masterpiece on his own platform. Grok 4.8 ships behind Anthropic's Claude Opus 5.5, and he knows it. This isn't humility, it's a tell: compute and hype don't guarantee the best model anymore. Anthropic just won the only marketing campaign that matters, built by its biggest rival. Watch if Grok 5 actually closes the gap, or if this…
🔥 Gemini 4 Carbon beats rivals, ages in days Google ships Gemini 4 Carbon after just two weeks of testing. It tops benchmarks against Anthropic's new Fable 5.2, at less than half the cost per task. Google also previews coordinated agent teams via "/swarm." The model race isn't yearly anymore, it's weekly, and cost is now the real battlefield. Blink and your "frontier model" is a bronze medal.
🤖 Robots hit 96% on a real factory line Google DeepMind and Apptronik ran Gemini Robotics 2.5 on live Mercedes-Benz production lines in Hungary and Germany. The humanoid Apollo 2 sorted metal parts at a 96% success rate, not a lab demo. This is the gap between flashy robot videos and actual industrial throughput closing fast. Whoever owns the control model owns the factory floor, not whoever owns the chassis. Watch…
Showing the 12 most recent of 457 posts we hold for @inGrinder. 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.
@inHodlman · 145,722#1
@spinnercoin · 1,259,776#2
@boomloudcoin · 1,544,003#3
@hexnio · 1,829,100#4
@theyescoin · 5,135,926#5
@theTapCoins · 2,657,866#6
@Holdcoin_Channel · 1,985,461#7
@the_signal_24 · 5,366,566#8
@smpl_app · 1,494,317#9
@catapult_extreme · 7,579,455#10
@metazoneofficial · 519,096#11
@nomis_protocol · 1,425,656#12
@dotcoincommunity · 3,620,595#13
@CEXIO_Announcements · 2,294,402#14
@monorixofficial · 1,213,751#15
@richbeaknewss · 618,442#16
@gameechannel · 1,764,815#17
@NewsPlayToEarn · 2,063,376#18
@currentcryptonewsdaily · 936,894#19
@sergeisergienkoen · 2,752,742#20
@dailyscan_en · 912,703#21
@clear_feed_media · 465,749#22
@cryptolifebro · 972,202#23
@money · 2,590,706#24
@drive369_dao · 578,654#25
@WagmiHub_News · 1,006,476#26
@CryptoMemeFoundation · 1,647,958#27
@crypto_jeman · 620,236#28
@t1modev · 17,364#29
@seedupdates · 7,216,620#30
@dogs · 6,398,597#31
@blumcrypto · 12,712,250#32
@hamster_kombat · 19,576,556#33
@TimeFarmChannel · 4,659,260#34
@notcoin · 7,808,013#35
@toncapy_community · 464,929#36
@corn_battles · 968,518#37
@trendingapps · 3,540,800#38
@therealyescoin · 1,924,319#39
@catizenann · 3,294,946#40
@WILD_EC0SYSTEM · 993,796#41
@hotonnear · 4,278,207#42
@the_vertus · 1,969,811#43
@tomarket_ai · 5,841,109#44
@catgoldminerann · 830,752#45
@diamoremarket · 315,552#46
@rockyrabbitio · 3,240,555#47
@Bitget_Wallet_Announcement · 3,537,885#48
@Crypto_Woolf · 1,989,387#49
@Cats_housewtf · 6,984,959#50
@hayzonn · 2,548,795#51
@notboredpuppies_news · 1,058,335#52
@realgoats_channel · 4,163,341#53
@pigscrew · 1,925,290#54
@tonstationgames · 2,864,244#55
@banana_update · 1,288,229#56
@gram · 6,199,046#57
@AmioCommunity · 1,484,955#58
@be_the_firsttt · 1,183,135#59
@tapswapai · 9,569,290#60
@watbird · 1,364,697#61
@onus_globalchannel · 1,496,079#62
@tea_solmeme · 1,088,789#63
@walt_news · 3,284,292#64
@EraOfExplorers · 655,587#65
@tonbox · 466,652#66
@babydogecoin · 942,826#67
@tap_sport_official · 525,871#68
@tabi_ann · 1,626,665#69
@iamalexfalcon · 2,784,722#70
@pixelverse_xyz · 2,888,745#71
@richbeaknews · 541,581#72
@pocketfi · 1,637,341#73
@Marsian_News · 227,973#74
@cryptoAIAGI · 965,156#75
@CryptoAirdrop · 502,388#76
@boopupdates · 1,202,935#77
@Coin_Strategist · 938,297#78
@builders · 3,233,909#79
@matchain_fam · 1,593,540#80
@pocket_rocket_game · 642,338#81
@Monkey_on_TON · 752,131#82
@deckforge_official · 1,886,432#83
@vestirussia · 905,345#84
@TaskNChannel · 831,720#85
@mediarussia · 2,034,679#86
@token_1win · 2,776,645#87
@tons_base · 450,017#88
@avagoldcoin · 1,591,927#89
@autoruss · 736,889#90
Read from Telegram’s recommendation API, most recently 12 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.
@inHodlman · 145,722
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 12 August 2026
@hustlersweb3 · 21,838
Telegram ranks this channel #12 of 69 here — alongside 68 others — read 20 September 2026
@inZizizone · 172,102
Telegram ranks this channel #24 of 87 here — alongside 86 others — read 22 August 2026
@SAHITYASAMADHAAN123 · 24,871
Telegram ranks this channel #37 of 61 here — alongside 60 others — read 15 September 2026
@spinnercoin · 1,259,776
Telegram ranks this channel #46 of 87 here — alongside 86 others — read 8 August 2026
@toncapy_community · 464,929
Telegram ranks this channel #55 of 87 here — alongside 86 others — read 9 August 2026
@WBCCLUB_OFFICIAL · 21,799
Telegram ranks this channel #60 of 60 here — alongside 59 others — read 18 September 2026
This channel appears in 7 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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Grinder AI” (@inGrinder), 134,307 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/inGrinder.
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.