Telegram RegisterThe public register of Telegram
Telegram profile photo for 合肥修车资源公开榜

Channel

合肥修车资源公开榜

@hefeifff

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

44,023subscribers

+6,212 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1002547361210
TypeChannel
Username@hefeifff
Description合肥修车大队 总群 https://t.me/smoaxctt 上榜联系 @woaihefei_bot
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live7 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/hefeifff

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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

37,81144,02340,9179 August 2026 — 37,811 subscribers9 August 2026 — 37,989 subscribers10 August 2026 — 38,154 subscribers11 August 2026 — 38,265 subscribers12 August 2026 — 38,656 subscribers13 August 2026 — 39,018 subscribers15 August 2026 — 39,551 subscribers16 August 2026 — 40,014 subscribers17 August 2026 — 40,246 subscribers18 August 2026 — 40,467 subscribers19 August 2026 — 40,827 subscribers20 August 2026 — 41,031 subscribers21 August 2026 — 40,561 subscribers23 August 2026 — 40,775 subscribers24 August 2026 — 41,086 subscribers25 August 2026 — 41,154 subscribers26 August 2026 — 41,450 subscribers27 August 2026 — 41,705 subscribers28 August 2026 — 42,021 subscribers29 August 2026 — 42,424 subscribers30 August 2026 — 42,663 subscribers31 August 2026 — 42,923 subscribers1 September 2026 — 43,085 subscribers2 September 2026 — 43,221 subscribers4 September 2026 — 43,400 subscribers7 September 2026 — 44,023 subscribers9 August 20267 September 2026
26 measurements spanning 29 days, net +6,212. 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 36,879–44,955 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
7 Sept 2026, 05:1744,023+623
4 Sept 2026, 09:5843,400+179
2 Sept 2026, 19:3943,221+136
1 Sept 2026, 19:4543,085+162
31 Aug 2026, 16:3742,923+260
30 Aug 2026, 19:5342,663+239
29 Aug 2026, 22:2642,424+403
28 Aug 2026, 19:4742,021+316
27 Aug 2026, 19:3341,705+255
26 Aug 2026, 20:3641,450+296
25 Aug 2026, 18:5741,154+68
24 Aug 2026, 19:5341,086+311
23 Aug 2026, 02:1640,775+214
21 Aug 2026, 11:5640,561-470
20 Aug 2026, 14:2641,031+204
19 Aug 2026, 16:3440,827+360
18 Aug 2026, 15:0940,467+221
17 Aug 2026, 18:4340,246+232
16 Aug 2026, 15:4440,014+463
15 Aug 2026, 01:4639,551first reading

Engagement

149 posts held, back to 8 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 83 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.45%
avg views ÷ 44,023 subscribers
Avg views / post
638
133 posts measured
Reaction rate
0.248%
reactions ÷ views · ER floor
Posts in window
133
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. It is computed over the 63 of 133 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 September 2026
Posts held149 (8 August 20268 September 2026)
Views total84,903
Reactions total111
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 15:20 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
2,610
Videos
382
Links
303

Lifetime counters from Telegram’s own channel header, read 9 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
7m 49s
Average length
8s

Measured directly from 60 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.

Reaction mix

127 reactions across 56 posts, in 5 distinct kinds. The most used accounts for 78.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10078.7%
🤡2015.7%
🔥43.15%
👍21.57%
💯10.787%

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 71 of the 149 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 127 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 149 most recent posts we hold, published 8 August 2026 to 8 September 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

8 Sept 2026, 15:26 UTC735 views1 reactionsread 9 September 2026
Photo

【老 师 艺 名】#小苹果 【所 在 位 置】#合肥 #瑶海 【茶 位】 #6P #11pp 【服 务 类 型】 #全套 【联 系 方 式】@shaattp22 【双向机器人】 @xiaopgibot 【老 师 频 道】https://t.me/appleaa231 备注:

1

8 Sept 2026, 03:56 UTC927 views1 reactionsread 9 September 2026
Photo

【老 师 艺 名】 #晚秋 【所 在 位 置】 #合肥 #经开 【茶 位】 #5p #9pp 【服 务 类 型】 #全套 【联 系 方 式】 @wanqiu369147 【双向机器人】 @wanqiu999_bot 【老 师 频 道】 https://t.me/wanqiu25846 备注:#个人老师 #视频认证

💯1

8 Sept 2026, 03:56 UTC849 views2 reactionsread 9 September 2026
Photo

【老 师 艺 名】 #小野猫 【所 在 位 置】 #合肥 #包河 【茶 位】 #6p #11pp 【服 务 类 型】 #全套 【联 系 方 式】@xiaoyemao667 【双向机器人】@xiaoyemaonbot 【老 师 频 道】 https://t.me/xiaoyemaon 备注: #个人老师 #视频认证

1👍1

7 Sept 2026, 14:07 UTC≈1,030 views4 reactionsread 9 September 2026
Photo

【老 师 艺 名】 #棠棠 【所 在 位 置】 #合肥 #包河 【茶 位】 #7p #13pp 【服 务 类 型】 #全套 【联 系 方 式】@tangtang520888 【双向机器人】@tangtang5201314bot 【老 师 频 道】https://t.me/tangtang5201314888 备注:

4

7 Sept 2026, 14:07 UTC989 views1 reactionsread 9 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7532617796

1

7 Sept 2026, 13:40 UTC677 viewsread 8 September 2026

包河艾米老师: 原价500p 降价100 蜀山汤圆老师: 原价600p 优惠100(限时3天)

7 Sept 2026, 11:03 UTC682 viewsread 8 September 2026
Photo

🔰合肥市蜀山区首家全裸🔰9T➕❓ 合肥市蜀山区首家全裸9T全场:499 (评价拍照反馈享受优惠只需480)🎉 🔰合肥市蜀山区全裸🔰9T➕❓ 🏅金牌客服:@XHNB876 🏅加入频道: t.me/XHNB88766 🏅加入群组: t.me/XHNB867 双向机器人🤖: @XHNB888bot 电话预约☎️: 17764477187 微信🛰️1️⃣预约:DJL5846688 QQ🐧1️⃣预约:2826654315 合肥首家全场高颜值 主打00后嫩妹 服务时间60分钟时间内不限次数 营业时间: 12:00-3:00嫩妹 联系客服可安排隐藏服务 隐藏服务 店铺服务: 兄弟们标配服务是主打00后全裸60分钟不限水 全场499好评拍照反馈给我480元 全裸服务:亲嘴 69 舌吻 、逼推 、K推👄 熊推臀推足交丝袜阴推臀推、毛推、腿夹、(小要求妹妹能可以配合的全程配合、想要其他的服务兄弟们就要看自己盘咯、一切皆可盘)

7 Sept 2026, 10:05 UTC498 viewsread 8 September 2026
Photo

【老 师 艺 名】 #晓晓 【所 在 位 置】 #合肥 #蜀山 【茶 位】 #7p #13pp 【服 务 类 型】 #全套 【联 系 方 式】@xiaoxiao235648 【双向机器人】@xiaoyuyan259_bot 【老 师 频 道】https://t.me/xiaoxiao12879 备注:

7 Sept 2026, 01:40 UTC54 viewsread 7 September 2026

包河艾米老师: 原价500p 降价100 蜀山汤圆老师: 原价600p 优惠100(限时3天)

6 Sept 2026, 19:40 UTC140 viewsread 7 September 2026

包河艾米老师: 原价500p 降价100 蜀山汤圆老师: 原价600p 优惠100(限时3天)

6 Sept 2026, 08:31 UTC606 viewsread 7 September 2026
Photo

【老 师 艺 名】 #樱桃🍒 【所 在 位 置】 #合肥 #包河 【茶 位】 #499 【服 务 类 型】 #95中项 【联 系 方 式】@yu915915 【双向机器人】 【老 师 频 道】https://t.me/wsnbv123 备注: #个人老师 #视频认证

6 Sept 2026, 07:40 UTC284 views0 reactionsread 6 September 2026

包河艾米老师: 原价500p 降价100 蜀山汤圆老师: 原价600p 优惠100(限时3天)

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

@hefeifff 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
10 August 2026
Most recent edit
23 August 2026

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

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.

Named by

Channels on the register whose posts name this channel's handle.

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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“合肥修车资源公开榜” (@hefeifff), 44,023 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/hefeifff.

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.