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[하나채권] 김상만.이영주.박준우.하형민.허성우

@hanabond

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

6,034subscribers

+512 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001326848713
TypeChannel
Username@hanabond
Created11 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/hanabond

Topic

Other / unclassifiable — 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 12 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 2 other registered channels. This entry also sits inside a group of 13 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
@hanabond/2943 · this entry5 Aug 2026, 22:25 UTC@HanaResearch/201445 Aug 2026, 22:25 UTC1.00under a minute
@HanaResearch/2019611 Aug 2026, 06:43 UTC@hanabond/2948 · this entry11 Aug 2026, 06:44 UTC1.00under a minute
@hanabond/3085 · this entry25 Oct 2026, 22:56 UTC@HanaResearch/2073625 Oct 2026, 22:57 UTC1.00under a minute
@hanabond/3098 · this entry1 Nov 2026, 23:13 UTC@HanaResearch/208311 Nov 2026, 23:13 UTC1.00under a minute
@hanabond/3085 · this entry25 Oct 2026, 22:56 UTC@deandatbond/206825 Oct 2026, 22:57 UTC1.00under a minute
@hanabond/3093 · this entry28 Oct 2026, 21:06 UTC@deandatbond/207228 Oct 2026, 22:41 UTC1.001.6 hours
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
@HanaResearch10 (8/8 hand-verifiable sample passed)1.00under a minuteeven
@deandatbond9 (8/8 hand-verifiable sample passed)1.00under a minute@deandatbond (5–4)

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. 2 of the 2 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 36 comparable posts for this entry, running 26 July 2026 to 4 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 13 channels, the one whose matching posts we hold earliest is @hanaallocation. 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 key clone_mutual, 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.

Channels linked by matching posts

This channel is in a group of 13 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

5,5176,0345,775.57 August 2026 — 5,522 subscribers7 August 2026 — 5,522 subscribers11 August 2026 — 5,520 subscribers14 August 2026 — 5,518 subscribers17 August 2026 — 5,517 subscribers20 August 2026 — 5,522 subscribers24 August 2026 — 5,618 subscribers27 August 2026 — 5,628 subscribers30 August 2026 — 5,630 subscribers2 September 2026 — 5,663 subscribers6 September 2026 — 5,668 subscribers11 September 2026 — 5,679 subscribers15 September 2026 — 5,791 subscribers19 September 2026 — 5,869 subscribers30 September 2026 — 5,911 subscribers6 October 2026 — 5,925 subscribers13 October 2026 — 5,939 subscribers16 October 2026 — 5,952 subscribers19 October 2026 — 5,960 subscribers22 October 2026 — 5,972 subscribers25 October 2026 — 5,974 subscribers28 October 2026 — 5,989 subscribers31 October 2026 — 6,010 subscribers3 November 2026 — 6,016 subscribers6 November 2026 — 6,027 subscribers10 November 2026 — 6,034 subscribers7 August 202610 November 2026
26 measurements spanning 95 days, net +512. 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 5,439–6,112 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
10 Nov 2026, 12:196,034+7
6 Nov 2026, 16:166,027+11
3 Nov 2026, 11:096,016+6
31 Oct 2026, 20:496,010+21
28 Oct 2026, 12:055,989+15
25 Oct 2026, 12:165,974+2
22 Oct 2026, 04:485,972+12
19 Oct 2026, 02:485,960+8
16 Oct 2026, 08:285,952+13
13 Oct 2026, 01:505,939+14
6 Oct 2026, 18:005,925+14
30 Sept 2026, 05:415,911+42
19 Sept 2026, 15:395,869+78
15 Sept 2026, 01:375,791+112
11 Sept 2026, 08:025,679+11
6 Sept 2026, 06:565,668+5
2 Sept 2026, 01:265,663+33
30 Aug 2026, 08:265,630+2
27 Aug 2026, 05:275,628+10
24 Aug 2026, 14:555,618first reading

Engagement

40 posts held, back to 26 July 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 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.1%
avg views ÷ 6,034 subscribers
Avg views / post
1,150
21 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
21
of 40 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 4 November 2026
Posts held40 (26 July 2026 – 4 November 2026)
Views total24,211
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 01:59 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 21 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).

4 Nov 2026, 23:56 UTC248 viewsread 5 November 2026
Forwarded from @deandatbond

중간선거와 QRA: 분점정부와 증액 예고 (T.3771-8037) ▶ 4분기 QRA, 숫자로는 현상 유지였지만 문구와 TBAC 권고로는 증액 예고에 가까웠음. 증액은 늦어도 27년 8월, 중단기물 중심으로 이뤄질 전망 ▶ 중간선거는 민주당의 압승. 과거 ‘통합→분점’ 사례에서 장기금리 추세 하락은 선거 후 3~4개월 뒤. 예산 협상, 재정 경로, 연준 사이클 전환이 확인되는 27년 1분기와 맞물림 ▶ 장기 구간은 분점정부에 따른 재정 확대 제약과 장기물 증액 속도 조절을 반영해 상대적으로 우호적인 흐름을 이어갈 것으로 예상 [하나증권 해외채권 허성우] *텔레그램: https://t.me/deandatbond *자료: https://bitly.cx/uRp7x (컴플라이언스 승인을 득함)

Signed 성우 허

4 Nov 2026, 23:04 UTC368 viewsread 5 November 2026
Forwarded from @hanaallocation

🍎🍎 블루웨이브와 하이퍼스케일러의 주가 반등 이유 ☘ 블루웨이브 이후 하이퍼스케일러의 주가 반등은 데이터센터 규제 강화가 과도한 Capex 경쟁을 완화하고, 기존 인프라의 희소가치를 높일 것이라는 기대가 반영된 결과. ☘ 다만 최근 대규모 회사채 발행과 프로젝트금융 확대는 기업들이 여전히 AI 투자재원을 적극적으로 확보하고 있음을 보여줌. 이미 확정된 투자계획과 계약상 지출을 고려하면 신규 인허가 제한이 단기간에 현금흐름 개선으로 이어질지는 불확실. ☘ 향후 핵심은 Capex 증가율 둔화가 실제 FCF 개선과 자금조달 부담 완화로 연결되는지 여부

Signed Yj Lee

4 Nov 2026, 22:37 UTC330 viewsread 5 November 2026
Forwarded from @deandatbondPhoto

🇺🇸 4분기 QRA 만기별 발행 규모 발표 - 올해 4분기 차입규모 수정치는 6,180억 달러(티빌 3,320억 달러 + 이표채 3,610억 달러 − 바이백 750억 달러). 8월 최초 추정치와 비교하면 이표채는 그대로이고, 바이백이 250억 달러 늘어난 만큼 티빌 발행이 150억 달러 늘어남 - 내년 1분기 최초 차입규모는 8,000억 달러(티빌 5,320억 달러 + 이표채 3,480억 달러 − 바이백 800억 달러). 1분기 차입의 약 2/3를 티빌로 조달하는 구조. 이르면 2월 중순 부채한도에 도달하면 순발행이 제약되므로 실제 빌 공급 경로는 한도 협상에 달려 있음 - 시장이 가장 주목했던 이표채 가이던스는 유지됐지만 표현이 바뀜. 재무부는 다음 몇 분기 동안(for the next several quarters) 이표채와 FRN …

Signed 성우 허

4 Nov 2026, 01:33 UTC339 viewsread 5 November 2026
Forwarded from @hanaallocation

[2027년 해외크레딧 전망] 현금 공백기, 버팀의 시간을 지나면 하나 자산배분/해외크레딧 이영주(T.3771-7788) ▶ 자료: https://bit.ly/4BGs4yz ▶ 텔레그램: https://t.me/hanaallocation 1. AI 투자, 성장 스토리? 부채 스토리? - AI 투자는 미국의 성장과 기술 기업 실적을 지지하는 핵심 동력이나, 대규모 투자가 현금 유입보다 먼저 집행되며 회사채, 프로젝트 금융, 벤더 금융 등 외부 자금조달 수요가 빠르게 증가하는 중 2. AI 투자자금 조달 확대, 장기 듀레이션 공급 증가 - 재정적자에 따른 국채 공급에, AI 인프라를 위한 장기 회사채 발행과 프로젝트 금융이 더해지면, 시장이 흡수해야 할 장기 금리 위험도 커짐 - 국채·회사채·프로젝트금융이 동시에 장기 위험을 공급하며 기…

Signed 진원 박

2 Nov 2026, 23:02 UTC569 viewsread 5 November 2026
Forwarded from @hanaallocation

🍎🍎 오라클, 예고된 200억달러 자금조달 실행…시장은 조달비용에 주목 ☘ 인베스터데이에서 예고한 자금조달 실행 - 11/2, 오라클은 회사채 100억달러와 신주 100억달러 등 총 200억달러의 자금조달을 추진 - 회사채는 2029~2046년 만기의 6개 트랜치(변동금리채 1개·고정금리채 5개)로 구성된 선순위 무담보채 ☘ 10/28 Investor Day에서 FY2030까지 추가 자본시장 조달을 최대 200억달러(주식·부채 각각 100억달러)로 제한하겠다고 발표. 기존 부채 차환은 해당 한도에서 제외 - 발표 당시 CFO 힐러리 맥슨은 예상보다 조달 필요액이 적으며, 시장 여건에 따라 이르면 2026년 중 실행할 수 있다고 언급. - 따라서, 이번 거래는 기존 계획의 변경이 아닌, 사전에 예고한 자금조달의 실행이라 볼 수 있음 ☘ …

Signed Yj Lee

2 Nov 2026, 07:25 UTC612 viewsread 5 November 2026
Forwarded from @hanaallocationPhoto

🍎🍎 알파벳 급락, AI 투자에 높아진 현금흐름 부담.. ☘ 알파벳의 주가 급락은 AI 수요 둔화보다, Capex가 영업현금흐름을 웃돌며 잉여현금흐름 (FCF) 적자가 현실화된 점을 시장이 재평가한 결과로 볼 수 있음 ☘ 3Q Capex는 514억달러로 OCF 423억달러를 넘었고, FCF는 91억달러 적자를 기록. 연간 Capex 가이던스도 1,950억~2,050억달러로 유지 ☘ 투자 확대 자체는 이미 알려진 사실이었음. 다만 시장은 AI 수요와 클라우드 성장으로 이를 소화할 수 있다고 봐왔으나, FCF가 실제 적자로 전환되자 투자 집행과 현금 유입 간 시차를 다시 가격에 반영하기 시작 ☘ AI 수요를 의심할 근거는 제한적임. Google Cloud 매출은 307억달러로 전년비 103% 증가했고, Azure와 AWS도 각각 48%, …

Signed Yj Lee

1 Nov 2026, 23:13 UTC≈3,860 viewsread 5 November 2026

[주간 하나채권] [11월 1주] 시장과 경제의 괴리에 익숙해질 시기 ▶ AI 주가 급락이 한미 금리 하락 견인. 실물 경제 견조하나, ‘모멘텀’ 둔화 가능성이 핵심 ▶ 미국: 금리 급등 리스크 감소. QRA, 중간선거 모두 금리 상승 제한. ‘중립’으로 상향 ▶ 한국: 미국보다 주가 조정 크고 인상 사이클 종료도 이름. 국채 투자의견 '중립' 유지 채권전략 박준우 (T.3771-7262) 해외채권 허성우 (T.3771-8037) 보고서: https://bitly.cx/w3Lht (컴플라이언스 승인을 득함)

Signed 성우 허

29 Oct 2026, 22:12 UTC890 viewsread 5 November 2026
Forwarded from @hanaallocationPhoto

🍎🍎 마이크로소프트의 회사채시장 복귀, AI 회사채도 ‘옥석 가리기’ ① 발행 상황: 9년여 만의 시장 복귀에 발행액의 4.6배 (1,150억달러) 주문 - 10/29(미국시간), MS는 2017년 이후 9년여 만에 미국 투자등급 회사채시장에 복귀해 250억달러 발행 조건을 확정 ② 실적 연계: 투자 부담에도 유지되는 현금창출력 - FY2027 1Q (2026년 7~9월) 매출은 922.79억달러(YoY +19%), 영업현금흐름은 580억달러(YoY +28.7%) 기록 - FCF는 186억달러 흑자로 시장 예상치를 약 100억달러 상회. - 시장 컨센서스와 회사 전망 모두 FY2027 연간 FCF 흑자를 예상. 다만 분기 설비투자가 예상보다 적었던 데에는 일부 인프라 인도 지연도 작용 - CFO는 유리한 조건에서 추가 조달을 활용해 현금흐…

Signed Yj Lee

29 Oct 2026, 01:35 UTC750 viewsread 5 November 2026
Forwarded from @hanaallocation

[자산배분의 창(窓)] 견조한 성장과 높은 금리 사이, 커지는 부담 하나 자산배분/해외크레딧 이영주(T.3771-7788) ▶ 자료: https://bit.ly/3WTIvaD ▶ 채널: https://t.me/hanaallocation > 견조한 경기와 물가 압력, 연준의 추가 긴축을 뒷받침 - 美 경제가 AI 투자 확대와 견조한 기업이익을 토대로 성장을 지속하는 가운데, 반도체·메모리 수요 증가와 에너지·공급망의 공급 제약이 맞물리며 물가 압력도 계속되고 있음 - 외부 차입에 의존하는 신생 클라우드 기업과 전통 산업은 자금조달 비용 상승에 직접 노출되어 있으며, 긴축에 따른 수요 위축과 이자부담 증가는 취약 기업과 가계에 먼저 나타날 수 있음 > 기업 이익의 개선과 금융시장의 안정성은 별개의 문제 - AI 관련 설비투자 기업은 실적 개…

Signed 진원 박

28 Oct 2026, 22:57 UTC626 viewsread 5 November 2026
Forwarded from @hanaallocationPhoto

🍎🍎 오라클, 투자자의 날 행사에서 "AI 투자에 따른 신용 우려 완화 시도" ☘ 10/28 투자자의 날 주요 발표 - FY2030까지 추가 자본시장 조달을 최대 200억 달러로 제한 (주식 100억 달러 + 부채 100억 달러, 단, 기존 부채의 차환 물량은 제외됨) - FY2029 순차입금/조정 EBITDA를 3.5배 미만으로 낮추고, 투자적격등급을 유지하겠다는 목표 제시 (순차입금에는 벤더파이낸싱과 리스부채도 포함) - 벤더파이낸싱, 고객의 하드웨어 직접 제공, 고객 선급금 등을 활용해 AI 인프라 투자에 필요한 초기 현금지출을 약 50% 줄일 수 있다고 설명 - FY2028 하반기 FCF 흑자 전환, FY2029 FCF 300억 달러 이상 및 자체 현금흐름을 통한 성장자금 조달을 목표로 제시 ☘ 신용시장 반응: - 오라클 5년 C…

Signed Yj Lee

28 Oct 2026, 21:06 UTC≈3,650 viewsread 5 November 2026

[하나채권] [10월 FOMC] 긴축 기조 유지하되, 과잉 긴축은 경계 ▶️ 연준 트로이카(워시, 제퍼슨, 윌리엄스)의 뜻대로 완만한 긴축 기조 ▶️ 기준금리 3.75%~4.00%로 동결. 시장 예상에 부합. 인상 의견 2명 (쿡 이사, 해맥 총재) ▶️ 금융환경 긴축 강조했으나, 기대 인플레이션 안정적이며 수요측 물가 압력이 제한적이라고 평가한 점은 완화적 ▶️ 시장 반응은 장단기 스프레드 확대. 추가 긴축 필요하다는 신호. 12월 인상 전망 유지 채권전략 박준우 (T.3771-7262) 보고서: https://bit.ly/3U7e28h *컴플라이언스 승인을 득하였음

Signed 준우 박

27 Oct 2026, 23:17 UTC731 viewsread 5 November 2026
Forwarded from @hanaallocationPhoto

🍎🍎 브로드컴, 630억달러 장비금융에 신용보강, 까다로워진 AI 자금조달 여건 ☘ 10/26, BOA·Citi·Morgan Stanley·Blackstone은 Anthropic이 사용할 브로드컴 장비 (AI 가속기와 네트워크 장비) 구매를 위해 630억달러의 금융을 제공하기로 했음. - 신설 SPV가 장비를 매입해 Anthropic에 임대하는 구조이며, 세부 구조는 도표 참고 ☘ 이번 거래는 데이터센터 건설자금이 아닌, 데이터센터에 들어갈 AI 장비를 별도 금융화한 것. 장비 인도는 2027년부터 시작될 예정 ☘ AI 컴퓨팅 수요가 여전히 강하다는 점을 보여주지만, 금융 여건은 이전보다 까다로워짐 - WSJ은 은행들이 금리 상승과 AI 익스포저 확대를 우려해 약정에 주저했고, 더 높은 대출금리와 브로드컴의 추가 신용보강을 거쳐 거래가 …

Signed Yj Lee

Showing the 12 most recent of 40 posts we hold for @hanabond. 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

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“[하나채권] 김상만.이영주.박준우.하형민.허성우” (@hanabond), 6,034 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/hanabond.

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.