🔥 Anthropic burns $80B to make $16B Anthropic files its S-1, and the numbers are brutal by design. $16B in revenue for H1 alone, against an $80B net loss. This is the AI arms race laid bare: growth at any cost, profitability for later. Investors aren't buying a business yet, they're buying a bet on who survives the compute war. Watch if public markets have the stomach for losses this size once the hype cools.

Channel
Grinder AI
@inGrinder
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
137,656subscribers
-17,403 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 | 26 October 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 26 October 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 |
|---|---|---|
| 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 | -342 |
| 21 Oct 2026, 03:30 | 138,790 | -236 |
| 20 Oct 2026, 01:50 | 139,026 | -185 |
| 18 Oct 2026, 22:45 | 139,211 | -311 |
| 18 Oct 2026, 01:06 | 139,522 | -209 |
| 16 Oct 2026, 22:09 | 139,731 | -251 |
| 15 Oct 2026, 19:17 | 139,982 | -222 |
| 14 Oct 2026, 16:51 | 140,204 | -274 |
| 13 Oct 2026, 10:00 | 140,478 | -851 |
| 9 Oct 2026, 04:37 | 141,329 | -902 |
| 4 Oct 2026, 14:41 | 142,231 | -1,858 |
| 26 Sept 2026, 05:59 | 144,089 | -1,712 |
| 17 Sept 2026, 14:18 | 145,801 | -392 |
| 15 Sept 2026, 11:39 | 146,193 | -319 |
| 13 Sept 2026, 21:37 | 146,512 | -473 |
| 12 Sept 2026, 02:17 | 146,985 | first reading |
Engagement
377 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 163 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.081%
- avg views ÷ 137,656 subscribers
- Avg views / post
- 111
- 129 posts measured
- Reaction rate
- 0.707%
- reactions ÷ views · ER floor
- Posts in window
- 129
- of 377 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 5 of 129 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 October 2026 |
|---|---|
| Posts held | 377 (3 August 2026 – 26 October 2026) |
| Views total | 14,301 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Oct 2026, 02:01 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
- 996
- Videos
- 10
- Links
- 48
Lifetime counters from Telegram’s own channel header, read 27 October 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
- 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
72 reactions across 63 posts, in 10 distinct kinds. The most used accounts for 51.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 37 | 51.4% | |
| 👍 | 12 | 16.7% | |
| 🔥 | 11 | 15.3% | |
| 😱 | 3 | 4.17% | |
| 👌 | 2 | 2.78% | |
| 😁 | 2 | 2.78% | |
| 🤡 | 2 | 2.78% | |
| 😈 | 1 | 1.39% | |
| 😢 | 1 | 1.39% | |
| 🤮 | 1 | 1.39% |
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 67 of the 377 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 72 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 377 most recent posts we hold, published 3 August 2026 to 26 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.
Recent posts
🤖 Anthropic files to go public, beats OpenAI to Nasdaq The S-1 is out under ticker ANT, revenue climbing fast off a $1.2B base just a year ago. Founders keep control through a trust structure, so Wall Street gets the upside without the steering wheel. More than half of its six-figure enterprise clients already run both the Claude platform and first-party apps, an Amazon-style lock-in playbook. This is a safety-missi…
⚡ Jane Street and rivals now building AI infrastructure Speed is no longer the only edge in trading. Jane Street and Hudson River Trading are pouring capital into data centers and chip startups to secure AI compute. Quant funds that once competed on microseconds now compete on GPUs. Compute has become the new latency arbitrage. Watch who owns silicon next, not who owns the fastest cable.
🧰 AI Tool of the Week: Arkham Arkham uses AI to link wallet addresses to real identities, tag exchange flows, and surface on-chain activity tied to specific entities, funds, and projects in real time. 1. Create a free account on Arkham. 2. Search any wallet, token, or entity name. 3. Set alerts for large transfers or entity-specific activity. Pro tip: use entity profiles to track fund and exchange behavior before …
🦈 200 AI neoclouds are about to get eaten alive Musk says over 200 AI neocloud operators face "guppy-level death" as compute economics tighten. Gartner backs him up, predicting 80% of specialist cloud providers vanish by 2030. The GPU land grab created hundreds of me-too clouds riding on thin margins and rented chips. When the capital cycle turns, only the whales with proprietary compute and real demand survive. Wa…
🚨 CoinDCX admits $16M gone, days after denial CoinDCX confirmed a $16M loss from retired wallets, just days after CEO Sumit Gupta called breach reports a "false alarm" on X. That denial now reads as damage control, not transparency. Exchanges keep treating user trust as a PR variable, not a balance sheet liability. Watch who pulls funds next: the hack hurts less than the lie about it.
🚨 AI's zero payoff shocks corporate America Apollo's economist just torched the AI hype cycle. Massive capex, zero financial payoff outside tech, that's the claim. Boardrooms bought the narrative, balance sheets didn't move. The bubble doesn't pop from bad news, it pops when earnings calls stop pretending.
🚫 Reddit mods declare war on AI r/opensource just banned any project that uses, is made by, or targets AI. The move splits the open-source world right as AI-generated code becomes the norm. Purists want a walled garden; builders see gatekeeping that ignores how software actually gets written now. This is a symptom, not a fix. Watch for more communities drawing hard lines, the AI vs human-made debate is just getting…
🔪 OpenAI slashes prices to gut Anthropic OpenAI is offering discounts up to 90% to peel away Anthropic's biggest accounts. Rippling, Replit, and DataCamp already jumped ship citing massive cost cuts. This isn't product superiority, it's a margin war funded by investor cash. Anthropic's growth was already slowing, and now Deepseek is undercutting both from the other side. Price wars don't end with winners, they end …
📉 Bitcoin longs get vaporized below $80,000 Leveraged traders lost $404 million in four hours as bitcoin broke a key level. Spot ETFs bled $773 million over two days, ending a three-day inflow streak. This is the chart that was supposed to never go down again. Leverage always finds the exit door eventually, usually through someone else's liquidation.
🛑 Sweden bans ChatGPT and Claude for staff Sweden's Government Offices locked out OpenAI and Anthropic starting Monday, citing security review failures. Only Microsoft Copilot passed the test and stays live on every machine. This isn't about model quality, it's about data residency and who controls the pipe into government systems. Expect more states to quietly pick the vendor they can audit, not the one that benchm…
🔥 Fired OpenAI researchers say the leak was a lie Three safety researchers, Tomek Korbak, Mikita Balesni, and Jasmine Wang, got axed for an alleged leak they say was never explained. They claim the real issue was pushing for more scrutable AI systems, not confidential data. OpenAI controls the narrative and the paycheck, so dissent gets rebranded as a security breach. Watch who speaks up next, and whether silence b…
Showing the 12 most recent of 377 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 · 148,549#1
@spinnercoin · 1,290,401#2
@boomloudcoin · 1,582,633#3
@hexnio · 1,878,481#4
@theyescoin · 5,315,548#5
@theTapCoins · 2,732,383#6
@Holdcoin_Channel · 2,041,253#7
@the_signal_24 · 5,572,831#8
@smpl_app · 1,532,803#9
@catapult_extreme · 7,839,634#10
@metazoneofficial · 533,487#11
@nomis_protocol · 1,465,279#12
@dotcoincommunity · 3,728,674#13
@CEXIO_Announcements · 2,355,270#14
@monorixofficial · 1,251,457#15
@richbeaknewss · 632,601#16
@gameechannel · 1,805,835#17
@NewsPlayToEarn · 2,158,324#18
@currentcryptonewsdaily · 962,177#19
@sergeisergienkoen · 2,865,534#20
@dailyscan_en · 934,842#21
@clear_feed_media · 477,028#22
@cryptolifebro · 998,210#23
@money · 2,707,520#24
@drive369_dao · 596,091#25
@WagmiHub_News · 1,032,569#26
@CryptoMemeFoundation · 1,701,529#27
@crypto_jeman · 633,964#28
@t1modev · 17,658#29
@seedupdates · 7,517,078#30
@dogs · 6,620,572#31
@blumcrypto · 13,242,863#32
@hamster_kombat · 19,981,647#33
@TimeFarmChannel · 4,867,278#34
@notcoin · 8,074,235#35
@toncapy_community · 479,656#36
@corn_battles · 992,142#37
@trendingapps · 3,624,812#38
@therealyescoin · 1,977,458#39
@catizenann · 3,383,692#40
@WILD_EC0SYSTEM · 1,022,715#41
@hotonnear · 4,402,418#42
@the_vertus · 2,032,344#43
@tomarket_ai · 6,118,776#44
@catgoldminerann · 852,758#45
@diamoremarket · 321,213#46
@rockyrabbitio · 3,314,710#47
@Bitget_Wallet_Announcement · 3,663,550#48
@Crypto_Woolf · 2,046,979#49
@Cats_housewtf · 7,291,991#50
@hayzonn · 2,632,524#51
@notboredpuppies_news · 1,085,184#52
@realgoats_channel · 4,338,117#53
@pigscrew · 2,005,477#54
@tonstationgames · 2,977,688#55
@banana_update · 1,320,289#56
@gram · 6,361,684#57
@AmioCommunity · 1,578,000#58
@be_the_firsttt · 1,228,705#59
@tapswapai · 9,825,339#60
@watbird · 1,399,101#61
@onus_globalchannel · 1,543,659#62
@tea_solmeme · 1,114,844#63
@walt_news · 3,360,002#64
@EraOfExplorers · 672,292#65
@tonbox · 474,783#66
@babydogecoin · 966,038#67
@tap_sport_official · 535,930#68
@tabi_ann · 1,729,200#69
@iamalexfalcon · 2,875,315#70
@pixelverse_xyz · 2,976,317#71
@richbeaknews · 554,385#72
@pocketfi · 1,689,617#73
@Marsian_News · 233,707#74
@cryptoAIAGI · 990,773#75
@CryptoAirdrop · 517,029#76
@boopupdates · 1,233,977#77
@Coin_Strategist · 967,756#78
@builders · 3,290,486#79
@matchain_fam · 1,708,688#80
@pocket_rocket_game · 656,366#81
@Monkey_on_TON · 771,510#82
@deckforge_official · 1,939,488#83
@vestirussia · 929,171#84
@TaskNChannel · 855,031#85
@mediarussia · 2,083,719#86
@token_1win · 2,831,686#87
@tons_base · 461,312#88
@avagoldcoin · 1,637,741#89
@autoruss · 780,038#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 · 148,549
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 12 August 2026
@hustlersweb3 · 22,084
Telegram ranks this channel #12 of 69 here — alongside 68 others — read 20 September 2026
@inZizizone · 176,048
Telegram ranks this channel #24 of 87 here — alongside 86 others — read 22 August 2026
@SAHITYASAMADHAAN123 · 24,912
Telegram ranks this channel #37 of 61 here — alongside 60 others — read 15 September 2026
@spinnercoin · 1,290,401
Telegram ranks this channel #46 of 87 here — alongside 86 others — read 8 August 2026
@toncapy_community · 479,656
Telegram ranks this channel #55 of 87 here — alongside 86 others — read 9 August 2026
@WBCCLUB_OFFICIAL · 22,241
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 26 October 2026 — this entry's latest reading, not the date you are reading this.
“Grinder AI” (@inGrinder), 137,656 subscribers as measured 26 October 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.