Telegram RegisterThe public register of Telegram
Telegram profile photo for 香港HF看圖1⃣Hundred Fruit

Channel

香港HF看圖1⃣Hundred Fruit

@HKHF02

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

8,241subscribers

+668 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001227351705
TypeChannel
Username@HKHF02
Description星級美女酒店預約 預約1線whatsapp:67366387 預約2線LINE:67366387 預約3線Telegram: @HKHF001 真人真相 絕不調包 以誠相待 備用睇圖號 https://t.me/HKHF03
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/HKHF02

Topic

Adult — 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 89% 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

7,5738,2417,9076 August 2026 — 7,573 subscribers6 August 2026 — 7,576 subscribers9 August 2026 — 7,625 subscribers12 August 2026 — 7,676 subscribers16 August 2026 — 7,699 subscribers18 August 2026 — 7,714 subscribers22 August 2026 — 7,773 subscribers25 August 2026 — 7,803 subscribers28 August 2026 — 7,844 subscribers31 August 2026 — 7,871 subscribers3 September 2026 — 7,917 subscribers8 September 2026 — 7,953 subscribers13 September 2026 — 7,980 subscribers17 September 2026 — 8,003 subscribers25 September 2026 — 8,030 subscribers5 October 2026 — 8,037 subscribers12 October 2026 — 8,078 subscribers15 October 2026 — 8,116 subscribers18 October 2026 — 8,127 subscribers20 October 2026 — 8,140 subscribers23 October 2026 — 8,158 subscribers26 October 2026 — 8,190 subscribers29 October 2026 — 8,195 subscribers1 November 2026 — 8,198 subscribers4 November 2026 — 8,241 subscribers6 August 20264 November 2026
25 measurements spanning 90 days, net +668. 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 7,473–8,341 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
4 Nov 2026, 21:068,241+43
1 Nov 2026, 12:378,198+3
29 Oct 2026, 05:298,195+5
26 Oct 2026, 12:078,190+32
23 Oct 2026, 11:378,158+18
20 Oct 2026, 22:198,140+13
18 Oct 2026, 03:118,127+11
15 Oct 2026, 04:078,116+38
12 Oct 2026, 01:228,078+41
5 Oct 2026, 01:168,037+7
25 Sept 2026, 20:158,030+27
17 Sept 2026, 08:558,003+23
13 Sept 2026, 05:397,980+27
8 Sept 2026, 23:207,953+36
3 Sept 2026, 17:427,917+46
31 Aug 2026, 17:557,871+27
28 Aug 2026, 23:437,844+41
25 Aug 2026, 21:077,803+30
22 Aug 2026, 13:187,773+59
18 Aug 2026, 20:087,714first reading

Engagement

74 posts held, back to 4 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 23 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.7%
avg views ÷ 8,241 subscribers
Avg views / post
2,030
22 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
22
of 74 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 5 November 2026
Posts held74 (4 August 2026 – 5 November 2026)
Views total44,740
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 11:19 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
778
Videos
39
Links
171

Lifetime counters from Telegram’s own channel header, read 5 November 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
1m 08s
Average length
9s

Measured directly from 8 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 22 posts held from the last 30 days (9.09%) 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).

5 Nov 2026, 06:45 UTC306 viewsread 5 November 2026
Photo

新鮮奶水 位置📍佐敦 #奶媽 藝名:西西 #走肥好身材 身高:170cm 胸圍:38D 奶量500CC 價位:1600HKD #多奶 #人妻 #身材正 🈶舌吻 🈶69 🈶環保吹 🈶口爆 #口技了得 #服務好 #不多事 #西西噴奶視頻 https://t.me/hkhf3/10343 WHATSAPP: http://wa.me/85267366387 ⏰歡迎預約 @HKHF001 今日下午到

5 Nov 2026, 03:51 UTC455 viewsread 5 November 2026

今日有女 酒店特價區👇👇👇 https://t.me/HKHF03

5 Nov 2026, 03:33 UTC473 viewsread 5 November 2026
Photo

#孕婦🤰🏻 #位置📍佐敦 #雙胞胎 藝名:寶龍 (雙胞胎5個月) 年齡:26碎 身高:161cm 胸圍:38E 價位:1400💰🈚套+500 拍片戴眼罩+300 #孕婦開頭 #鴻運當頭 #財運亨通 🈶大車 🈶69 🈶環保吹🈶口爆 #寶龍雙胞胎孕婦視頻 https://t.me/hkhf3/10342 🏩歡迎預約📲 @HKHF001 whatsapp: http://wa.me/85267366387

4 Nov 2026, 03:23 UTC≈1,160 viewsread 5 November 2026
Photo

#孕婦🤰🏻 #位置📍佐敦 #雙胞胎 藝名:寶龍 (雙胞胎5個月) 年齡:26碎 身高:161cm 胸圍:38E 價位:1400💰🈚套+500 拍片戴眼罩+300 #孕婦開頭 #鴻運當頭 #財運亨通 🈶大車 🈶69 🈶環保吹🈶口爆 #寶龍雙胞胎孕婦視頻 https://t.me/hkhf3/10342 🏩歡迎預約📲 @HKHF001 whatsapp: http://wa.me/85267366387

3 Nov 2026, 02:25 UTC≈1,360 viewsread 4 November 2026
Photo

#孕婦🤰🏻 #位置📍佐敦 #雙胞胎 藝名:寶龍 (雙胞胎5個月) 年齡:26碎 身高:161cm 胸圍:38E 價位:1400💰🈚套+500 拍片戴眼罩+300 #孕婦開頭 #鴻運當頭 #財運亨通 🈶大車 🈶69 🈶環保吹🈶口爆 #寶龍雙胞胎孕婦視頻 https://t.me/hkhf3/10342 今日下午到 🏩歡迎預約📲 @HKHF001 whatsapp: http://wa.me/85267366387

Showing the 12 most recent of 74 posts we hold for @HKHF02. 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

Names

Channels on the register whose handles appear in this channel's posts.

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

“香港HF看圖1⃣Hundred Fruit” (@HKHF02), 8,241 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/HKHF02.

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.