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Channel

合肥资源榜

@hefeisangonliuyuan2

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

63,090subscribers

+7,020 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001487884310
TypeChannel
Username@hefeisangonliuyuan2
Description上榜认证管理: @zzx8999 合肥 上门 嫩妹 少妇 御姐 学生 资源↙️ 找老师认准出击推广群:https://t.me/hefeisangonliuyuan1
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/hefeisangonliuyuan2

Topic

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 21 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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 why it has no browse page of its own yet.

Growth

56,07063,09059,5807 August 2026 — 56,070 subscribers7 August 2026 — 56,088 subscribers8 August 2026 — 56,359 subscribers9 August 2026 — 56,268 subscribers10 August 2026 — 56,294 subscribers11 August 2026 — 56,418 subscribers12 August 2026 — 56,516 subscribers13 August 2026 — 56,764 subscribers14 August 2026 — 57,082 subscribers16 August 2026 — 57,400 subscribers17 August 2026 — 57,662 subscribers18 August 2026 — 57,802 subscribers19 August 2026 — 57,917 subscribers20 August 2026 — 58,227 subscribers21 August 2026 — 58,477 subscribers22 August 2026 — 58,715 subscribers24 August 2026 — 58,942 subscribers25 August 2026 — 59,047 subscribers26 August 2026 — 59,228 subscribers27 August 2026 — 59,394 subscribers28 August 2026 — 59,638 subscribers29 August 2026 — 59,776 subscribers30 August 2026 — 59,904 subscribers30 August 2026 — 60,048 subscribers1 September 2026 — 60,282 subscribers2 September 2026 — 60,474 subscribers3 September 2026 — 60,582 subscribers4 September 2026 — 60,869 subscribers7 September 2026 — 61,491 subscribers10 September 2026 — 62,027 subscribers12 September 2026 — 61,858 subscribers14 September 2026 — 62,026 subscribers16 September 2026 — 62,320 subscribers18 September 2026 — 63,090 subscribers7 August 202618 September 2026
34 measurements spanning 42 days, net +7,020. 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 55,017–64,143 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 10:1763,090+770
16 Sept 2026, 02:1962,320+294
14 Sept 2026, 10:5962,026+168
12 Sept 2026, 17:3761,858-169
10 Sept 2026, 19:1562,027+536
7 Sept 2026, 17:1761,491+622
4 Sept 2026, 15:1460,869+287
3 Sept 2026, 00:4560,582+108
2 Sept 2026, 00:4460,474+192
1 Sept 2026, 00:5460,282+234
30 Aug 2026, 22:5760,048+144
30 Aug 2026, 01:2559,904+128
29 Aug 2026, 02:5359,776+138
28 Aug 2026, 05:4759,638+244
27 Aug 2026, 08:2959,394+166
26 Aug 2026, 09:1259,228+181
25 Aug 2026, 07:0259,047+105
24 Aug 2026, 08:1458,942+227
22 Aug 2026, 17:4458,715+238
21 Aug 2026, 11:0758,477first reading

Engagement

149 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 102 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.31%
avg views ÷ 63,090 subscribers
Avg views / post
830
89 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
89
of 149 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 23 September 2026
Posts held149 (4 August 202623 September 2026)
Views total73,834
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 04:34 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
3,700
Videos
587
Links
575

Lifetime counters from Telegram’s own channel header, read 24 September 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
11m 03s
Average length
9s

Measured directly from 75 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

23 Sept 2026, 15:18 UTC416 viewsread 24 September 2026
Video

福利来了❤️❤️❤️❤️❤️❤️ 坐标:#合肥# 包河区:果果老师:@junk9507 机器人 @hhvhpz_bot 福利来了❤️ 1p 2p 各优惠100 9月24号止9月27号 现在开始可以预约了😍

22 Sept 2026, 15:06 UTC≈1,010 viewsread 24 September 2026
Photo

坐标:合肥 蜀山区 花名:#可乐 认证:已认证 课费:600p-1200pp 私聊:@kelelekk 扣扣:3842287326 双向:@kelekl1bot 频道:https://t.me/kelekel #服务详情参见课8 ↘️下方评论反馈体验报告

22 Sept 2026, 15:03 UTC926 viewsread 24 September 2026
Photo

坐标:#合肥 #包河区 花名:#晶晶 课费:600p/ 1200pp 私聊: @meimm525 双向: https://t.me/meimm525bot 频道:https://t.me/mmh3690 #服务详情参见课4 ↘️下方评论反馈体验报告

22 Sept 2026, 08:36 UTC970 viewsread 24 September 2026
Video

包河萝莉宝宝 老师优惠 坐标:#合肥# 包河区:萝莉宝宝老师: @HGV144 机器人 @bhhhhi_bot 福利来了❤️ 1p 2p 各优惠100 9月22号止9月25号 现在开始可以预约了😍

22 Sept 2026, 08:35 UTC916 viewsread 24 September 2026
Photo

坐标:#合肥 #包河区 花名:#露露个人 优惠来了❤️❤️❤️ pp优惠100到九月底结束 联系方式:@luluhousaa 双向联系:@luluhousaa_bot 现在可以开始预约了哈🔥🔥🔥

22 Sept 2026, 07:14 UTC891 viewsread 24 September 2026
Photo

优惠福利来啦🎉🎉🎉🎉🎉 坐标:#合肥# 包河 七穗老师:机器人:@qisui520888bot 1p 2p 各优惠100 😍9月22号—9月25号 现在开始可以预约了🎉

21 Sept 2026, 12:53 UTC≈1,090 viewsread 24 September 2026
Photo

坐标:#合肥 #包河区 花名:#梦梦老师(个人 高端龙根养护)优惠来了❤️❤️❤️ B套餐优惠100到九月底结束 联系方式:@my90913 双向联系:@xibaoerxixijiqiren_bot 现在可以开始预约了哈🔥🔥🔥

21 Sept 2026, 12:42 UTC≈1,120 viewsread 24 September 2026
Photo

坐标:#合肥 #包河区 花名:#心心 认证:已认证 课费:700p 1300PP 私聊:@xinxin5980 双向:@tiantian0876_bot 频道:https://t.me/xinxi78999 #服务详情参见课 ↘️下方评论反馈体验报告

21 Sept 2026, 07:22 UTC774 viewsread 22 September 2026
Photo

福利来了❤️❤️❤️❤️❤️❤️ 坐标:#合肥# 包河区:小狐狸老师:@sixxfgv1 机器人 @xnniaohuli_bot 福利来了❤️ 1p 2p 各优惠100 9月21号止9月24号 现在开始可以预约了😍

21 Sept 2026, 05:20 UTC841 viewsread 22 September 2026
Photo

坐标:#合肥 #包河区 花名:#沈清禾 课费:500p 1000PP 私聊: @baohe321 双向: @daidai321bot 频道:https://t.me/dai069 #服务详情参见课 ↘️下方评论反馈体验报告

20 Sept 2026, 09:48 UTC≈1,010 viewsread 22 September 2026
Photo

坐标:#合肥 #包河区 花名:#徐青青 认证:已认证 课费:500p-1000pp 私聊:@xqq990 双向:@xqq693bot 频道:https://t.me/xuqingqing00 服务: 共浴💋浴室挑逗💋水中萧💋花式吹箫(多种姿势✌️)💋十指弹琴 💋臀推 💋 胸滑💋 舌尖漫游💋前后吸皮 💋69互动 激情大蟒🐍 💋 激情爱爱 💋制服有 #服务详情参见课5 ↘️下方评论反馈体验报告

20 Sept 2026, 08:31 UTC933 viewsread 22 September 2026
Photo

坐标:#合肥 #包河区 花名:#小山茶 认证:已认证 课费:700p 1400PP 私聊:@HGV144 双向:@bhhhhi_bot 频道:https://t.me/fgcghbbx852 #服务详情参见课 ↘️下方评论反馈体验报告

Showing the 12 most recent of 149 posts we hold for @hefeisangonliuyuan2. 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.

Posts edited after publishing

@hefeisangonliuyuan2 edited 6 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
18 August 2026
Most recent edit
15 September 2026

Mentions

Named by 4 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“合肥资源榜” (@hefeisangonliuyuan2), 63,090 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hefeisangonliuyuan2.

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.