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Channel

Facta non verba.

@jonghodanielpark

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,482subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001380944292
TypeChannel
Username@jonghodanielpark
Created5 June 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/jonghodanielpark

Growth

1,4821,4861,4847 August 2026 — 1,486 subscribers7 August 2026 — 1,486 subscribers11 August 2026 — 1,482 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net -4. 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 1,481–1,487 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 11:131,482-4
7 Aug 2026, 04:301,486no change
7 Aug 2026, 04:241,486first reading

Engagement

8 posts held, back to 7 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

13 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 76.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1076.9%
🐳215.4%
😨17.69%

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 5 of the 8 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 7 June 2026 to 13 July 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

13 Jul 2026, 04:07 UTC231 views3 reactionsread 7 August 2026
Forwarded from @bzcftelPhoto

연예인들을 눈앞에서 보는 느낌이었다. 항상 팔로우하던 테크 유튜버, 백만 인플루언서들, 모델들 어떻게 한자리에 다 모았나 싶다. 몇 년 전만 해도 인플루언서라고 불렸다. (그 전에는 파워블로거) 디지털 세상에서 콘텐츠를 만드는 게 직업이라고 인정받지도 않았다. 그런데 미스터비스트가 나왔고, 조 로건이 나왔다. 대통령이 팟캐스트에 나가는 시대다. 세상이 바뀌었다. 각자 한 명 한 명이 개성이 있고, 스토리가 있고, 강력한 팬들이 있다. 아직 정의되지 않은 직업이라고 생각한다. 하는 고민들이 다르지만 유사한 점이 많았다. 콘텐츠 크리에이터로서 전문성도 있지만, 사업가로서는 초보이기도 했다. 이번 행사는 ‘부이’ 주도로 해시드 라운지에서 진행되었는데 인원 구성부터, 케이터링, 행사 진행, 커리큘럼까지 너무나도 완벽했다. 프로그램도 유익했고, 사

3

4 Jul 2026, 08:06 UTC882 views1 reactionsread 7 August 2026

Alex Karp on Enterprise AI — CNBC Interview Filtered some substantive points worth chewing on: 1. The token pricing tell If a model truly generates $1B in value, why charge per token instead of taking equity? Per-token pricing signals the vendor doesn't believe in the value they claim. 2. Margin concentrates in application layer and compute (per Palantir's own financials) The model layer runs thin to negative. Pro

1

1 Jul 2026, 23:53 UTC239 viewsread 7 August 2026
Forwarded from @chunjonghyun

메타가 클라우드 하겠다는 뉴스가 나와서 또 한번 시장이 크게 움직이는 것 같은데, 정말 그냥 raw한 짧은 단상 몇개만 남겨보면: 1. 우선 xAI가 최근 남는 컴퓨팅 파는 BM이 워킹한다는걸 보여주었고, 여기서 큰 힌트를 얻지 않았을까 싶다. 2. 메타가 AI 사업을 축소한다는 해석을 하는 경우도 많을 것 같은데, 당장은 xAI가 남는 컴퓨팅 판다고 AI 사업을 줄이거나 하진 않는 것 같은데. 심플하게 메타도 본인들 사업이 자리잡기까지는 시간과 노력이 더 필요하니, 그때까지 남는 컴퓨팅을 조금 팔아서 빠듯한 현금흐름을 조금이나마 수월하게 해보겠다는 전략이 아닌지. 3. 내가 장담하는데 AI는 아직 잠재 수요의 1%도 채우지 못했을꺼다. 지금 수준의 모델과 유스케이스만 하더라도 컴퓨팅은 훨씬 더 많이 깔려야한다. 4. 작년 딥시크 사태

30 Jun 2026, 14:27 UTC≈2,750 viewsread 7 August 2026

The ordering here (Visa → Stripe → Mastercard/AmEx) also feels deliberate.

30 Jun 2026, 14:16 UTC≈2,760 views6 reactionsread 7 August 2026

Circle ❌ (+ Coinbase ✔️) Paxos ❌ PayPal ❌ We all know what it means (for major issuers).

3🐳2😨1

30 Jun 2026, 14:05 UTC≈2,470 views1 reactionsread 7 August 2026

Introducing Open USD — Link Open Standard’s founding CEO is Zach Abrams, formerly of Bridge (which Stripe acquired). Makes me wonder if the Bridge acquisition was partly about building toward something like OUSD. Reminds me a bit of the old BofA playbook — spinning off NBI, which became Visa. Businesses across industries have signed up to use Open USD, including: Visa, Stripe, Mastercard, American Express, Discove

1

9 Jun 2026, 11:45 UTC331 views2 reactionsread 7 August 2026
Forwarded from @chunjonghyun

매번 $400m 정도의 사이즈로 펀드 결성을 해왔던 벤치마크 캐피탈이, 이번주에 $2b 사이즈로 펀드 결성을 했다는 소식이 나왔다. 더이상 작은 사이즈의 펀드로는 AI 시대에서 경쟁이 불가하다고 판단한 것이다. AI가 VC 차원에서의 투자 전략 또한 바꿔놓고 있음을 상징적으로 보여주는 장면이었는데, 이와 관련해서 VC 산업의 위기 의식을 공유한 글이 있어서 아카이브. "(1) 고조기 (1960-1980): 벤처 캐피탈의 새로운 시민 질서가 등장합니다. 1961년 Davis & Rock, 1972년 Sequoia와 Kleiner. 도제 제도, 멱법칙(power law)에 따른 규율, 파트너십 규범, 강력한 기관, 공유된 가치, 집단적 자신감을 바탕으로 자신감 있고 응집력 있는 전문적 장인 정신이 형성됩니다." "(2) 각성기 (1980-2

2

7 Jun 2026, 10:02 UTC256 viewsread 7 August 2026
Forwarded from @bzcftelPhoto

5월 30일, 카카오 AI 캠퍼스에서 'OBA 위켄드톤'이 열렸습니다. 창업자 48명, 30여 개 팀이 모여 1박 2일간 제품을 만들었습니다. AI로 패러다임이 바뀌었습니다. 이제 좁은 시장 안에서 우리끼리 싸우는 건 의미가 없습니다. 글로벌과 경쟁하려면 힘을 합쳐 시장 크기부터 키워야 하고, 그러려면 닫혀 있던 기술 생태계가 먼저 열려야 했습니다. 누군가는 이 문제의식을 꺼내야 했습니다. 해시드가 얼라이언스를 제안하며 판을 깔자 시장이 반응했습니다. 넥슨, LG유플러스, GS네오텍 등이 자사 API와 자산을 빌더들에게 내줬고, OpenAI도 스폰서로 참여했습니다. 당장 돈이 되지 않더라도 해야 할 일입니다. 영리한 계산이 깔려있을지라도, 우리끼리 싸우지 말고 판을 키우자며 먼저 문을 열어젖히는 액션에는 분명히 리스펙트할 만한 진정성이

Showing the 8 most recent of 8 posts we hold for @jonghodanielpark. 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.

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.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“Facta non verba.” (@jonghodanielpark), 1,482 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/jonghodanielpark.

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.