🔊清华AI诗歌写作神器:一键生成多种体裁绝美诗词,包括藏头诗、集句诗和律诗等 🏷#AI写诗 #诗歌创作 #AI工具 🔗https://ppbuzz.com/10939/

Channel
PPbuzz | PP分享🧚
@ppbuzz_pro
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
37,931subscribers
+1,090 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 | -1001979887319 |
|---|---|
| Type | Channel |
| Username | @ppbuzz_pro |
| Description | PP分享—TG频道 PP分享,分享各种有趣的、好玩的、实用的东西! Twitter/X:https://twitter.com/PPbuzz_pro 所有内容均发布在:https://ppbuzz.com 地址发布页:https://dizhi.ppbuzz.com 联系方式:[email protected] |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/ppbuzz_pro |
Topic
Technology — 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 98% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 17:35 | 37,931 | +14 |
| 24 Oct 2026, 20:50 | 37,917 | +11 |
| 24 Oct 2026, 00:00 | 37,906 | +15 |
| 22 Oct 2026, 20:37 | 37,891 | +13 |
| 21 Oct 2026, 13:41 | 37,878 | +16 |
| 20 Oct 2026, 13:49 | 37,862 | +13 |
| 19 Oct 2026, 13:31 | 37,849 | +19 |
| 18 Oct 2026, 16:45 | 37,830 | +9 |
| 17 Oct 2026, 14:07 | 37,821 | +29 |
| 16 Oct 2026, 13:56 | 37,792 | +2 |
| 15 Oct 2026, 16:21 | 37,790 | +11 |
| 14 Oct 2026, 15:36 | 37,779 | +39 |
| 13 Oct 2026, 05:50 | 37,740 | +49 |
| 8 Oct 2026, 23:36 | 37,691 | +59 |
| 4 Oct 2026, 16:38 | 37,632 | +112 |
| 26 Sept 2026, 13:17 | 37,520 | +48 |
| 19 Sept 2026, 11:16 | 37,472 | +36 |
| 16 Sept 2026, 23:00 | 37,436 | +25 |
| 15 Sept 2026, 00:58 | 37,411 | +16 |
| 13 Sept 2026, 08:20 | 37,395 | first reading |
Engagement
87 posts held, back to 17 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 148 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.63%
- avg views ÷ 37,931 subscribers
- Avg views / post
- 2,140
- 28 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 28
- of 87 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.
| Window | Rolling 30 days · latest post in window 25 October 2026 |
|---|---|
| Posts held | 87 (17 July 2026 – 25 October 2026) |
| Views total | 59,785 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 20:10 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
- ≈5,730
- Videos
- ≈4
- Links
- ≈5,020
Lifetime counters from Telegram’s own channel header, read 25 October 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.
Recent posts
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🔊Banana Prompts:优质AI绘画提示词网站,助力使用Nano Banana等AI工具创作惊艳图像! 🏷#提示词平台 #GitHub项目 🔗https://ppbuzz.com/10932/
🔊Aurora Store:替代Google Play,纯净开源,无需登录谷歌,应用全免费,无广告追踪 🏷#Google_Play替代品 #Android 🔗https://ppbuzz.com/10929/
🔊小企鹅输入法:跨平台开源,支持拼音/双拼,有本地语言模型,可个性化适应输入习惯 🏷#开源输入法 #Android #GitHub项目 #iOS #Linux #Mac 🔗https://ppbuzz.com/10926/
🔊Topit:Mac窗口置顶神器,免费开源,任意窗口轻松置顶,告别遮挡,效率倍增 🏷#窗口强制置顶 #GitHub项目 #Mac 🔗https://ppbuzz.com/10923/
🔊小天才学数学APP:免费玩转数学,动画+游戏轻松学概念 🏷#数学学习 #考试教育 🔗https://ppbuzz.com/10920/
🔊摩斯密码转换器:轻松实现文本、声音、图像和音频等输入,让你体验特工般的古典通讯 🏷#摩斯密码转换器 #实用工具 🔗https://ppbuzz.com/10917/
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🔊DitherImage.online:在线将图片转为复古像素风格,可调整参数,轻松体验像素艺术 🏷#图像抖动生成器 #实用工具 🔗https://ppbuzz.com/10911/
🔊LameMP3:老车MP3转换器与诊断工具,解决播放、读盘、乱码问题 🏷#MP3转换器 #AI工具 #实用工具 🔗https://ppbuzz.com/10901/
🔊IPPure:检测IP风险,保护账号安全,助力多种业务顺利发展 🏷#IP纯净度检测 #实用工具 🔗https://ppbuzz.com/10897/
Showing the 12 most recent of 87 posts we hold for @ppbuzz_pro. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@abskoop · 304,598#1
@geekshare · 65,236#2
@iGitHub · 6,185#3
@RrOrangeAndFriends · 3,417#4
@piracy6 · 77,783#5
@zaihuapd · 287,085#6
@zh_vip · 15,772#7
@TheWebGuide · 5,488#8
@geekhub23 · 3,224#9
@AwesomeChatGPT · 15,117#10
@tingshushare · 13,587#11
@appinnfeed · 34,428#12
@app_snitch · 3,421#13
@wxgqlfx · 33,782#14
@bai_piao · 13,023#15
@me888888888888 · 52,419#16
@personal_hub · 11,576#17
@xhqcankao · 166,077#18
@GodlyNews1 · 70,300#19
@hangyebaogao · 1,764#20
Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@abskoop · 304,598
Telegram ranks this channel #32 of 50 here — alongside 49 others — read 17 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“PPbuzz | PP分享🧚” (@ppbuzz_pro), 37,931 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/ppbuzz_pro.
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.