#优质频道推荐 💻 破解类 ◉ 284K 破解软件分享-百科全书 ◉ 95K 安卓破解软件精选 ⌨️ 综合类 ◉ 260K 黑科技软件资源分享 ◉ 166K APP喵 - 破解软件资源 ◉ 100K 软件工具精选推荐 ◉ 91K 资源分享 - 软件|网站|工具 ◉ 90K 油油の科技软件资源分享 ◉ 88K 胖虎の收藏夹 ◉ 85K TG小树屋|资源&代理分享 ☺️ 苹果类 ◉ 96K 破解软件资源分享 ◉ 61K iOS巨魔破解软件分享 ◉ 50K iOS优质应用 🔎 其他类 ◉ 131K 电子书/听书/期刊/课程资源 ◉ 106K 频道索引&推荐 ◉ 48K 电影资源频道(4K、REMUXE/原盘)

Channel
电子书/听书/期刊/课程资源
@sharebooks4you
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
131,646subscribers
+2,800 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001701676174 |
|---|---|
| Type | Channel |
| Username | @sharebooks4you |
| Description | 商务 @msgmenow_bot 搜书 @sharing_books4u 导航 https://t.me/sharebooks4you/7 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/sharebooks4you |
Topic
Software piracy — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 58% 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 |
|---|---|---|
| 17 Sept 2026, 22:15 | 131,646 | +116 |
| 15 Sept 2026, 22:17 | 131,530 | +159 |
| 14 Sept 2026, 03:40 | 131,371 | +104 |
| 12 Sept 2026, 08:21 | 131,267 | +105 |
| 10 Sept 2026, 02:19 | 131,162 | +228 |
| 6 Sept 2026, 18:40 | 130,934 | +282 |
| 4 Sept 2026, 10:00 | 130,652 | +58 |
| 3 Sept 2026, 00:15 | 130,594 | +39 |
| 1 Sept 2026, 20:35 | 130,555 | +44 |
| 31 Aug 2026, 18:16 | 130,511 | +36 |
| 30 Aug 2026, 15:53 | 130,475 | +37 |
| 29 Aug 2026, 17:13 | 130,438 | +28 |
| 28 Aug 2026, 16:13 | 130,410 | +24 |
| 27 Aug 2026, 18:19 | 130,386 | +78 |
| 26 Aug 2026, 20:55 | 130,308 | +33 |
| 25 Aug 2026, 19:33 | 130,275 | +40 |
| 24 Aug 2026, 20:34 | 130,235 | +86 |
| 23 Aug 2026, 04:27 | 130,149 | +63 |
| 21 Aug 2026, 18:29 | 130,086 | +69 |
| 20 Aug 2026, 13:34 | 130,017 | first reading |
Engagement
281 posts held, back to 3 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 152 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.18%
- avg views ÷ 131,646 subscribers
- Avg views / post
- 2,880
- 152 posts measured
- Reaction rate
- 0.243%
- reactions ÷ views · ER floor
- Posts in window
- 152
- of 281 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 144 of 152 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 281 (3 August 2026 – 26 September 2026) |
| Views total | 437,160 |
| Reactions total | 1,007 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 21:29 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
- ≈5,480
- Videos
- ≈7
- Links
- ≈5,310
Lifetime counters from Telegram’s own channel header, read 26 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.
Reaction mix
1,816 reactions across 252 posts, in 15 distinct kinds. The most used accounts for 30.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 550 | 30.3% | |
| 👍 | 467 | 25.7% | |
| 👏 | 390 | 21.5% | |
| 🥰 | 387 | 21.3% | |
| 🔥 | 9 | 0.496% | |
| 👎 | 3 | 0.165% | |
| 😁 | 2 | 0.11% | |
| ⚡ | 1 | 0.055% | |
| 🎉 | 1 | 0.055% | |
| 👻 | 1 | 0.055% | |
| 😱 | 1 | 0.055% | |
| 🤡 | 1 | 0.055% | |
| 🤷♀ | 1 | 0.055% | |
| 🥴 | 1 | 0.055% | |
| 🫡 | 1 | 0.055% |
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 265 of the 281 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 1,842 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 281 most recent posts we hold, published 3 August 2026 to 26 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
今日更新已整理好,电子书、课程与听书解读都有新内容。 📚 商业与规则 《企业股权结构设计》《供应链金融》《复制销冠》关注组织增长;《新就业形态劳动者法律保护指南》《未注册商标保护研究》补法律边界。 🧠 人文与思想 《庄子》与道家思想从庄子其人其文讲到自然之道,谈隐士、游世与避世;《从河到海》《利益区域》《放手》提供观察现实的入口。 🛠️ 科技与问答 快刀广播站围观世界人工智能开源大赛;卓克·科技参考回答湿纸巾、空气净化器、助眠喷雾等问题;熊逸讲透资治通鉴·东汉盛衰追问历史记载是否可信。 ❤️ 身体与健康 《疯狂的尿酸》由陈罡解读,和“这三种身体能力,别等‘退化’了才保养”一起提醒:身体保养要提前。 学习建议: 1. 先选一个最贴近当下问题的主题。 2. 学完用一句话写下可执行动作。 3. 把身体保养放进长期计划。 🗓 20260926 Summarized by DeepSeek 👉 点击查看今日更新详情 🎓 查看…
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Showing the 12 most recent of 281 posts we hold for @sharebooks4you. 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
@sharebooks4you edited 1 post 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
- 24 September 2026
- Most recent edit
- 24 September 2026
Mentions
Named by 16 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.
@appmew · 166,2636 postsiOS优质应用
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@youzhi_info · 16,0134 posts电影资源频道(4K、REMUXE/原盘)
@jnjy_5 · 49,1983 posts黑科技软件资源分享
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@findfoot · 461 post频道索引&推荐
@recommend3 · 106,8491 post[资源数据库]
@xinxishujuku · 11 post
Names
Channels on the register whose handles appear in this channel's posts.
@recommend3 · 106,8496 postsAPP喵 - 破解软件资源
@appmew · 166,2633 posts胖虎の收藏夹
@gitbig · 87,7403 posts安卓破解软件精选
@inhut · 94,7643 postsiOS优质应用
@ioskk · 49,7493 posts电影资源频道(4K、REMUXE/原盘)
@jnjy_5 · 49,1983 posts黑科技软件资源分享
@kkaifenxiang · 260,9003 posts资源分享 - 软件|网站|工具|破解
@LCGFX · 91,4133 posts破解软件分享-百科全书📖
@OOAPK · 284,7203 posts破解软件资源分享
@tkdashen · 96,0553 postsTG小树屋|资源分享&公益代理
@xiaoshuwu · 85,1843 postsWidget🏂软件工具资源分享
@WidgetChannel · 100,2852 posts油油の科技软件资源分享
@youyousharechannel · 90,1452 posts独特吧-破解软件游戏资源分享
@duteba · 54,3041 post飞鱼资源分享|冲浪指南|软件工具
@feiyu123 · 62,2191 postiOS巨魔破解软件分享
@iOSQuQ · 61,2651 post秋月资源分享社-破解软件VPN
@qiuyuezt · 368,5971 postTK集库
@tkjiku · 24,6471 post
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“电子书/听书/期刊/课程资源” (@sharebooks4you), 131,646 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sharebooks4you.
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.