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Created
Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Other / unclassifiable — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 56% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 12 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 11 of the 12 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 259 comparable posts for this entry, running 5 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
26 measurements spanning 94 days, net +306. 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 8,619–9,045 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
7 Nov 2026, 22:37
8,974
-3
5 Nov 2026, 03:06
8,977
-19
1 Nov 2026, 17:36
8,996
+22
29 Oct 2026, 20:44
8,974
-5
26 Oct 2026, 18:27
8,979
+1
23 Oct 2026, 11:25
8,978
+1
20 Oct 2026, 18:48
8,977
-5
18 Oct 2026, 04:50
8,982
+12
15 Oct 2026, 03:06
8,970
+46
12 Oct 2026, 06:01
8,924
+19
5 Oct 2026, 13:20
8,905
+5
27 Sept 2026, 23:56
8,900
+47
18 Sept 2026, 09:40
8,853
+3
13 Sept 2026, 17:38
8,850
+21
9 Sept 2026, 18:15
8,829
+17
4 Sept 2026, 20:16
8,812
+13
1 Sept 2026, 10:06
8,799
+20
29 Aug 2026, 20:33
8,779
+27
26 Aug 2026, 13:04
8,752
+8
23 Aug 2026, 08:58
8,744
first reading
Engagement
544 posts held, back to 5 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.29%
avg views ÷ 8,974 subscribers
Avg views / post
654
225 posts measured
Reaction rate
0.314%
reactions ÷ views · ER floor
Posts in window
225
of 544 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 81 of 225 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
544 (5 August 2026 – 10 November 2026)
Views total
147,133
Reactions total
181
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 23:43 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
≈6,830
Videos
≈218
Links
≈13,600
Lifetime counters from Telegram’s own channel header, read 10 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
9m 30s
Average length
1m 03s
Measured directly from 9 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
439 reactions across 159 posts, in 21 distinct kinds. The most used accounts for 40.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
179
40.8%
👍
91
20.7%
😭
34
7.74%
🤬
27
6.15%
😁
17
3.87%
🤔
11
2.51%
🔥
10
2.28%
👏
9
2.05%
🤣
9
2.05%
❤🔥
7
1.59%
🙏
7
1.59%
🤡
7
1.59%
🤯
7
1.59%
🗿
6
1.37%
✍
5
1.14%
😱
3
0.683%
🫡
3
0.683%
👌
2
0.456%
😨
2
0.456%
🦄
2
0.456%
1 further kind
1
0.228%
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 196 of the 544 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 448 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 544 most recent posts we hold, published 5 August 2026 to 10 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: 8 of 225 posts held from the last 30 days (3.56%) 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).
실시간 코어위브 컨콜
질문자 (골드만삭스 가브리엘라 보르헤스): 향후 1~2년 내 업계에 대규모 신규 공급이 유입될 예정이며 수요에 대한 가시성이 완벽하지 않다는 우려가 있습니다. 수급이 정상화되거나 공급 과잉 국면에 접어들 경우 코어위브 사업 모델에는 어떤 영향이 있습니까?
답변자 (코어위브 마이크/경영진): 공급이 수요를 앞설 것이라는 우려는 수년간 제기되어 왔으나, 실제로는 AI 기술의 경제 전반 확산과 토큰 연산 수요가 인프라 공급 능력을 지속적으로 앞지르고 있으며 이는 신규 계약마다 마진 확대로 입증되고 있습니다. 현재 2027년 공급 물량은 대부분 완판되었고, 2028년 인도분으로 시장에 내놓은 인프라 역시 전량 판매되었습니다. 이러한 수요 우위는 메가와트(MW)당 장기 계약 2,000만~2,500만 달러, 4~5년 및 단기 계…
A COREWEAVE EXEC SAYS THE WEIGHTED AVERAGE COST OF DEBT ACROSS THE ENTIRE BUSINESS WAS 7.9% AT THE END OF Q3, DOWN 250 BASIS POINTS YOY, ADDING THE COMPANY WILL NOT USE THE UNSECURED DEBT MARKET TO FUND THE BUSINESS AT CURRENT YIELDS, “NOR DO WE NEED TO” ...
COREWEAVE EXEC SAYS DEMAND FOR 2028 IS SEVERAL TIMES LARGER THAN AVAILABLE CAPACITY, THAT COREWEAVE HAS 10 TIMES AS MUCH QUALIFIED DEMAND AS AVAILABLE CAPACITY THROUGH END-2027, AND THAT IT DOES NOT SEE MATERIAL RISKS TO ITS 2027 DELIVERIES BASED ON ONGOING CONSTRUCTION AT FULLY PERMITTED SITES ...
COREWEAVE EXEC SAYS THAT AT CURRENT PRICING, 2027 RENEWALS WOULD GENERATE APPROACHING $4 BLN OF INCREMENTAL ANNUALIZED REVENUE WITH NO ADDITIONAL CAPEX REQUIRED ...
COREWEAVE EXEC SAYS COREWEAVE IS RECONTRACTING EXISTING CLOUD INFRASTRUCTURE AND SELLING IT AT MEANINGFUL PREMIUMS, WITH PRICING CONTINUING TO MOVE HIGHER IN Q4, MORE THAN OFFSETTING COST INCREASES ...
COREWEAVE EXEC SAYS THAT THROUGH 2027, OVER 75% OF COMMITTED CAPEX IS TIED TO INVESTMENT GRADE AND ENTERPRISE CUSTOMERS AND ABOUT 25% TO THE WORLD’S LEADING AI LABS AND AI-NATIVE COMPANIES ...
AI Capex 종목들에게 있어서 쩐주들의 성장률 걱정이 곧 투자수요의 지속가능성에 대해 노이즈였을건데
프론티어랩들이 토큰 단가를 계속 내리고 있음에도 OpenAI 성장세가 견조하고
https://t.me/idea_memo/28084
Anthropic의 ARR은 7, 8, 9월 시원찮다가 OpenAI 10월 ARR 성장에 잠식당한게 아닌 10월에 MoM으로 14% 올라온 모습..
https://t.me/idea_memo/28070
고아위브조차 그래도 숫자적으로는 나쁘지는 않게 나온 모습같고...
https://t.me/idea_memo/28082
주식들이야 CPI 발표 이후 금리인상 확률 높아지면서 빠졌지만 산업 이슈에서는 긍정적이지 않았나 싶은데 다른 사람들의 해석은 어떠려나
>>Anthropic, 장기 영업이익률 35% 목표…창업자 7명 IPO서 총 17.5억달러 현금화
•Anthropic 경영진은 IPO 로드쇼 영상에서 장기적으로 조정 영업이익률 35% 이상을 달성할 수 있다고 밝힘. 이는 올해 3분기 15%보다 크게 높은 수준임.
•공모 자료에 따르면 공동창업자 7명은 각각 약 338만주를 매각할 계획이며, IPO 공모가 중간값 기준 1인당 약 2.5억달러를 현금화할 전망임. 매각 후에도 1인당 약 180억달러 규모의 지분을 보유
•골드만삭스는 Anthropic의 2030년 연간 매출이 지난해 대비 약 150배에 달하는 6,850억달러에 이를 것으로 전망함. 이 중 기업 고객 매출은 5,860억달러, 비기업 고객 매출은 1,000억달러로 예상
>Anthropic路演瞄准35%长期经营利润目标,创始人拟IPO…
Showing the 12 most recent of 544 posts we hold for @idea_memo. 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.
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.
Mentions
Named by 1 registered channel — 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.
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.
카이에 de market @cahier_de_market · 23,076 Telegram ranks this channel #17 of 85 here — alongside 84 others — read 20 September 2026
💯똥밭에 굴러도 주식판 @daegurr · 23,776 Telegram ranks this channel #25 of 83 here — alongside 82 others — read 18 September 2026
회색인간의 매크로 + 투자 @mistergray_11 · 19,792 Telegram ranks this channel #33 of 78 here — alongside 77 others — read 1 October 2026
기술적 분석으로 보는 주식시장 (by 소라게아빠) @hermitcrab41_1 · 21,453 Telegram ranks this channel #34 of 81 here — alongside 80 others — read 28 September 2026
KK Kontemporaries @kkkontemp · 21,169 Telegram ranks this channel #37 of 84 here — alongside 83 others — read 30 September 2026
서화백의 그림놀이 🚀 @easobi · 23,386 Telegram ranks this channel #37 of 87 here — alongside 86 others — read 18 September 2026
김찰저의 관심과 생각 저장소 @kimcharger · 25,264 Telegram ranks this channel #80 of 88 here — alongside 87 others — read 15 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“메모장” (@idea_memo), 8,974 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/idea_memo.
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.