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Channel

IT의 신 이형수

@hslpartners

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

19,007subscribers

+1,584 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001940491138
TypeChannel
Username@hslpartners
Description아신 여러분들을 위한 사랑방입니다. 이 채널에서 제공하는 콘텐츠에는 오류가 있을수 있습니다. 매수/매도 추천이 절대 아니며 매매의 근거로 활용될 수 없습니다. 해당 게시물의 내용은 어떤 경우에도 법적 근거로 사용될 수 없습니다. 언급된 모든 기업은 보유 중일 수 있으며 언제든지 매도할 수 있습니다.
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held68
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/hslpartners

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 7 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
Posted firstThenOverlapGap
@EarlyStock1/78514 Aug 2026, 21:17 UTC@hslpartners/9370 · this entry4 Aug 2026, 22:06 UTC1.0049 minutes
@EarlyStock1/848310 Nov 2026, 21:31 UTC@hslpartners/9783 · this entry10 Nov 2026, 22:09 UTC1.0038 minutes
@hslpartners/9743 · this entry2 Nov 2026, 07:41 UTC@free_life59/539922 Nov 2026, 07:42 UTC1.00under a minute
@hslpartners/9747 · this entry3 Nov 2026, 02:03 UTC@free_life59/540043 Nov 2026, 02:26 UTC1.0023 minutes
@hslpartners/9749 · this entry3 Nov 2026, 09:17 UTC@free_life59/540133 Nov 2026, 10:09 UTC1.0052 minutes
@cahier_de_market/103614 Aug 2026, 20:58 UTC@hslpartners/9371 · this entry4 Aug 2026, 22:06 UTC1.0068 minutes
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
ChannelMatching postsText overlapTypical gapPublished first
@EarlyStock18 (8/8 hand-verifiable sample passed)1.0030 minutes@EarlyStock1 (6–2)
@free_life598 (8/8 hand-verifiable sample passed)1.0049 minuteseven
@bornlupin21 (8/8 hand-verifiable sample passed)1.001.6 hours@bornlupin (21–0)
@cahier_de_market5 (5/5 hand-verifiable sample passed)1.0080 minutes@cahier_de_market (5–0)
@FastStockNewsUSA6 (6/6 hand-verifiable sample passed)1.001.7 hourseven
@nje2e5 (5/5 hand-verifiable sample passed)1.005.1 hoursthis entry (4–1)
@umbrellaresearch7 (7/7 hand-verifiable sample passed)1.002.2 hours@umbrellaresearch (5–2)

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. 6 of the 8 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 115 comparable posts for this entry, running 3 August 2026 to 11 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).

Of the group of 4 channels, the one whose matching posts we hold earliest is @upper_limit_price. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 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.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

17,42319,01618,219.519,0076 August 202612 November 2026
68 measurements spanning 98 days, net +1,584. 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 17,184–19,255 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 68
Measured (UTC)SubscribersChange
12 Nov 2026, 00:5719,007+6
10 Nov 2026, 00:3719,001-6
8 Nov 2026, 16:5719,007-4
7 Nov 2026, 07:4819,011-5
6 Nov 2026, 07:1519,016+10
5 Nov 2026, 09:3619,006-5
4 Nov 2026, 10:0919,011+18
3 Nov 2026, 07:4918,993-7
2 Nov 2026, 11:1119,000+3
1 Nov 2026, 12:4818,997+21
31 Oct 2026, 11:5518,976+50
30 Oct 2026, 09:5618,926+17
29 Oct 2026, 11:4818,909+196
28 Oct 2026, 07:4418,713-9
27 Oct 2026, 09:2918,722+2
26 Oct 2026, 07:5018,720+15
25 Oct 2026, 09:5818,705-1
24 Oct 2026, 08:4418,706+25
23 Oct 2026, 09:5018,681+14
22 Oct 2026, 09:1918,667first reading

Engagement

199 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 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
30.1%
avg views ÷ 19,007 subscribers
Avg views / post
5,730
61 posts measured
Reaction rate
0.989%
reactions ÷ views · ER floor
Posts in window
64
of 199 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
WindowRolling 30 days · latest post in window 12 November 2026
Posts held199 (3 August 2026 – 12 November 2026)
Views total349,480
Reactions total3,457
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 04:40 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
≈1,480
Videos
≈24
Links
≈6,640

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
23s
Average length
23s

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

11,088 reactions across 177 posts, in 18 distinct kinds. The most used accounts for 62.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6,95862.8%
🤬1,0719.66%
🔥6065.47%
👏5935.35%
😭4764.29%
🤔3343.01%
🙏2322.09%
🤣1901.71%
💯1801.62%
🥰1251.13%
😁1241.12%
😢610.55%
💔430.388%
😐250.225%
✍240.216%
🫡190.171%
🤝180.162%
🤗90.081%

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 186 of the 199 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 11,602 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 199 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 64 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).

12 Nov 2026, 12:35 UTC≈3,750 views16 reactionsread 13 November 2026

https://youtu.be/BmKAYcMdm6k?si=HKiPLZ62EW3RZDjv

👍10🤬5🥰1

12 Nov 2026, 05:40 UTC≈5,160 views91 reactionsread 13 November 2026

수출, 경제성장률 등 반도체 덕분에 지표가 너무 좋다 보니 정부 관료들이 시장 투자자들과 자본 시장을 보는 간극이 큰 듯 합니다.

😭54🤬30👏5🤔1🤣1

12 Nov 2026, 05:38 UTC≈5,330 views103 reactionsread 13 November 2026

결론적으로 투자 심리가 원인 같습니다. 펀더멘털 지표가 아직 견고하니 시간이 약이 되겠지요

👍79😁9🤬6😢4🔥2💔1🤔1🤗1

12 Nov 2026, 05:37 UTC≈6,580 views124 reactionsread 13 November 2026

반도체 분석을 업으로 하는데, 파다파다 이제는 엔비디아 창업자 불륜까지 분석해야 하나

😁53🤣35😭15🤬11💔9🔥1

12 Nov 2026, 05:37 UTC≈6,540 views60 reactionsread 13 November 2026

젠슨 황 불륜 스캔들 때문에 네오 클라우드는 관심에서 멀어지네요 ㅋㅋ 불과 며칠 전에 코어위브 망한다고 주가 빠졌는데,

😢36😁11😭7👍2💔2🔥1🤗1

12 Nov 2026, 05:31 UTC≈4,920 views56 reactionsread 13 November 2026

이런거 대응할 시간에 뭐라도 해야되는거 아닌가 ㅡㅡ https://n.news.naver.com/article/119/0003154431

🤬42😐5👍4🤗3🔥1🤣1

12 Nov 2026, 01:57 UTC≈3,900 views28 reactionsread 13 November 2026
Forwarded from @Ten_level

https://v.daum.net/v/20261112035118279

👍21🔥3🤬3😁1

11 Nov 2026, 22:56 UTC≈4,430 views30 reactionsread 13 November 2026
Forwarded from @bornlupin

엔비디아, CEO 젠슨 황 해임 준비 중 — WSJ 엔비디아 이사회가 창업자이자 최고경영자(CEO)인 젠슨 황의 해임을 준비하고 있다. 이번 움직임은 젠슨 황이 중국 스파이로 의심받는 여성과의 관계를 포함해 두 건의 혼외 관계를 맺었다는 의혹이 제기된 이후 나온 것이다. 사안에 정통한 관계자들에 따르면, 엔비디아 이사회는 이르면 11월 11일(현지시간) 회의를 열어 젠슨 황의 향후 거취를 결정할 예정이다. https://www.wsj.com/business/nvidia-is-preparing-to-oust-nvidia-ceo-jensen-huang-30f421ad?utm_source=chatgpt.com

😭26🤔2🔥1🤬1

11 Nov 2026, 13:48 UTC≈3,470 views25 reactionsread 13 November 2026
Forwarded from @bornlupin

[단독]코스닥 살리기 나서는 정부…13일 거래소서 대책 논의 금융위 주재…이재명 대통령 참석 가능성도 코스닥 활성화 포함 3가지 안건 논의할 예정 "증시 저평가" 언급, 이 대통령 메시지 주목 정부가 오는 13일 코스닥 시장 활성화를 포함해 자본시장 대책을 다루는 간담회를 개최한다. 금융위원장이 직접 참석하는 가운데 이재명 대통령의 참석 가능성도 거론되면서 정부가 코스닥 시장을 겨냥한 어떠한 정책 방향을 제시할지 관심이 쏠린다. 금융투자업계에 따르면 금융위는 13일 오전 서울 여의도 한국거래소에서 자본시장 관련 간담회를 개최할 예정이다. 이번 간담회는 금융위가 주관하며 이억원 금융위원장이 참석하는 가운데 이재명 대통령의 참석 가능성도 거론된다. 행사는 자본시장 전문가 등 다수가 참석하는 대규모 간담회 형식으로 진행되는 것으로 알려졌다. …

🤬15👍10

11 Nov 2026, 06:13 UTC≈5,220 views21 reactionsread 13 November 2026

https://youtu.be/gwmCVqevijQ?si=VSG4kSd00V1ubHSc

🔥10👍6🤣2😁2🤬1

10 Nov 2026, 22:09 UTC≈2,640 views30 reactionsread 13 November 2026
Forwarded from @bornlupin

[단독] 오픈AI, 3분기 매출 100억 달러로 급증 ​오픈AI(OpenAI)는 최신 모델과 기업용 제품에 대한 수요가 늘어나면서 성장 둔화기를 딛고 반등하여, 3분기 매출이 50% 급증한 약 100억 달러에 달했다고 투자자들에게 밝혔습니다 https://www.theinformation.com/articles/openai-revenue-jumps-10-billion-third-quarter

👍30

10 Nov 2026, 22:09 UTC≈3,430 views22 reactionsread 13 November 2026
Forwarded from @bornlupin

코어위브(CRWV) 2026년 3분기 실적 (시간외 +6%) 매출 컨센서스 상회, 수주잔고 1,325억 달러 기록, 연간 가이던스 상향 1. 3분기 실적 * 매출: 36.61억 달러 (예상 35.4억 달러 상회), 전년 대비 +168% * GAAP EPS: -1.27달러 (조정 EPS 예상 -1.21달러와 직접 비교 불가) * GAAP 순손실: 7.09억 달러 (전년 동기 1.10억 달러 손실) * 조정 순손실: 5.29억 달러 (전년 동기 4,100만 달러 손실) * GAAP 영업이익: 2.07억 달러, 전년 대비 +298% * 조정 영업이익: 3.79억 달러, 전년 대비 +75% * 조정 영업이익률: 10% (전년 동기 16%, 600bp 하락) * 조정 EBITDA: 22.56억 달러, 전년 대비 +169% * 조정 …

👍22

Showing the 12 most recent of 199 posts we hold for @hslpartners. 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

Republishes

Channels on the register whose posts this channel has forwarded.

루팡
@bornlupin · 49,268
32 posts
[메리츠 Tech 김선우, 양승수, 김동관]
@merITz_tech · 24,857
11 posts
습관이 부자를 만든다. 🧘
@habit4117 · 28,295
8 posts
카이에 de market
@cahier_de_market · 23,110
6 posts
[ IT는 SK ]
@skitteam · 18,244
5 posts
하나 중국/신흥국 전략 김경환
@HANAchina · 35,273
4 posts
프리라이프
@free_life59 · 12,707
4 posts
[삼성 이영진] 글로벌 AI/SW
@Samsung_Global_AI_SW · 12,920
3 posts
텐렙
@Ten_level · 16,994
3 posts
요약하는 고잉
@one_going · 48,283
3 posts
한투증권 미국/중국전략 정정영
@G2strategy · 16,744
2 posts
[한투 테크팀] 남채민/황준태/김정찬/김연준
@KISemicon · 15,625
2 posts
AWAKE - 실시간 주식 공시 정리채널
@darthacking · 65,571
2 posts
소중한추억.
@DOC_POOL · 13,460
1 post
조기주식회 공부방
@EarlyStock1 · 24,363
1 post
HS아카데미 대표 이효석
@HS_academy · 36,206
1 post
양파농장
@Onionfarmer · 16,142
1 post
Sajah의 투자 노트
@SAJAnote · 1,603
1 post
한투 반도체/소부장 고영민
@Semi_Ko · 2,065
1 post
알파 시그널
@alphasignal_now · 8,758
1 post
벨루가의 주식 헤엄치기
@beluga_investment · 7,623
1 post
딘스티커 Dean's Ticker
@d_ticker · 16,286
1 post
이그전 (이은택의 그림 전략)
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1 post
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@globaletfi · 20,610
1 post
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@hedgehara · 19,603
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1 post
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@insidertracking · 74,120
1 post
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@investment_puzzle · 14,294
1 post
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@joongdo · 4,825
1 post
KK Kontemporaries
@kkkontemp · 21,169
1 post
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@knowledge_to_wealth · 14,424
1 post
mk_giant
@mk_giant · 1
1 post
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@umbrellaresearch · 13,069
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쩜상리서치
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1 post
YM리서치
@ym_research · 39,821
1 post

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 2 registered channels — 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.

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.

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.

“IT의 신 이형수” (@hslpartners), 19,007 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/hslpartners.

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.