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Channel

Daily Grimoire of The Library

@DailyGrimoire

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

369subscribers

-5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001277784842
TypeChannel
Username@DailyGrimoire
Created29 December 2017measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/DailyGrimoire

Growth

369374371.56 August 2026 — 374 subscribers6 August 2026 — 374 subscribers21 August 2026 — 371 subscribers27 August 2026 — 370 subscribers12 September 2026 — 369 subscribers6 August 202612 September 2026
5 measurements spanning 37 days, net -5. 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 368–375 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 00:36369-1
27 Aug 2026, 20:57370-1
21 Aug 2026, 13:37371-3
6 Aug 2026, 20:33374no change
6 Aug 2026, 05:27374first reading

Engagement

20 posts held, back to 13 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

38 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 26.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1026.3%
🤬1026.3%
👍821.1%
😱513.2%
🔥37.89%
😢12.63%
🥰12.63%

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 11 of the 20 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 13 April 2026 to 3 August 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

3 Aug 2026, 14:52 UTC61 views1 reactionsread 6 August 2026

原来大家都觉得麒麟一番榨和喜力苦吗 我感觉他俩喝起来中段风味很丰富啊(

👍1

Signed Patchy Chan

22 Jul 2026, 15:38 UTC178 views7 reactionsread 6 August 2026

我觉得我社交圈收缩还有一个大原因就是穷 出门放个屁都要花钱,哪怕我拿着GR3去扫街半下午也要交P+R停车费和地铁钱 于是时间长了就会变成了拉朋友回来room tour和在家里发呆🫠,不用出门这点对我来说确实很好。 还有一点就是时间长了感觉身边的朋友生活怎么都多姿多彩的(当然大概率是某种人多了拼凑起来的幻觉 虽然今年到现在经济情况确实好些了。

6😢1

Signed Patchy Chan

17 Jul 2026, 08:19 UTC236 views2 reactionsread 6 August 2026

感叹国内麦当劳肯德基 喜欢吃的产品还是麦当劳比较多,但是麦当劳的份量感觉已经缩水缩疯了 肯德基偶尔会想吃一点原味鸡土豆泥啥的,份量没有麦当劳那么抠门但是总能看见一些神人产品和套餐搭配…

👍2

Signed Patchy Chan

25 Jun 2026, 06:14 UTC327 views2 reactionsread 6 August 2026
Forwarded from @b3y_official

扩写,人工占比80%,正文5k字 https://stblog.penclub.club/posts/DrugHistoryofPRC/

👍2

Signed Patchy Chan

22 Jun 2026, 18:00 UTC294 views1 reactionsread 6 August 2026

凉面是一种态度。 —— DV (起因于她说热干面去掉麻酱就是凉面我说那哪凉了

🥰1

Signed Patchy Chan

22 Jun 2026, 08:27 UTC258 viewsread 6 August 2026
Forwarded from @RichardAndLotus

数字马戏团的一个叫jax的角色出柜为跨女,这个设定被许多中国粉丝描述为毫无征兆,生搬硬套,空降属性,政治正确 说真的我没看过数字马戏团,但是我出柜的时候朋友也是这么看待我的 毫无征兆,突然,会被人怀疑是否经过深思熟虑 我想每个人的生活都不太一样,但唯独一点我可以确定,跨子没有义务提前十年说,“我考虑当个跨子”,再等十年说“我现在是个跨子”

Signed Patchy Chan

10 Jun 2026, 08:08 UTC303 views1 reactionsread 6 August 2026
Forwarded from @usr_bin_cat

我给大家回复一点错误的历史记忆哈,写那篇《置身钉外》的马锐拉是知名 notion 复制产品wolai 的作者,老牌炒作大师。相关事迹如下,谁都有资格说钉钉有问题,只有你没有,因为你就是那个制造问题的。 (宇宙免责声明:不妨碍我认为无招也是傻逼,当然我觉得大部分读者应该都这么想

1

Signed Patchy Chan

4 Jun 2026, 14:06 UTC349 viewsread 6 August 2026

另外一提其实Bambu自己的wiki上写的反而确实很详细,甚至不少内容除了视频教程以外还有详细的图文阅读教程。不少问题可以自己自查。但是他们的目标用户大概率是没有这个耐心。

Signed Patchy Chan

4 Jun 2026, 14:04 UTC332 views4 reactionsread 6 August 2026

和群友交流了Bambu X2D使用经验后意识到一些问题,这也是为什么我格外反感拓竹违背AGPLv3的原因的一个因素。 拓竹本身打着一种“哎呀完全不懂的小白入门买我的机器就可以啥都不用操心地畅玩3D打印”的宣传风格和尝试逐渐把自己的用户群体摆脱极客转向一般消费电子用户。 但是事实并非如此,除非用户买来一台机器然后一辈子只打PLA(那为什么不买个A1算了),否则从PETG开始往上走一定会有开始自己调参测试和modify的需要,用户仍然会遇到许多工程学/材料学导致的问题。DV也经常跟我强调3D打印机本质上就是一台工业设备。这就是为什么3D打印这个行业直到今天也很难转型向广义的消费电子产业,2026年了,仍然有很多新的feature都是从开源社区里长出来的。我想象不到要如何摆脱极客用户去赚一般小白的钱。Makerworld上经常能看到自己机器打炒面了就开始评论区骂作者做的什么垃圾的用户,这种用户拓竹真的能服务好吗,除非哪天拓竹真的能驯化

👍31

Signed Patchy Chan

24 May 2026, 15:44 UTC328 viewsread 6 August 2026

支持正义大手子拷打让用户用上更开放的拓竹机器(

Signed Patchy Chan

Showing the 12 most recent of 20 posts we hold for @DailyGrimoire. 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

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 1 registered channel — 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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“Daily Grimoire of The Library” (@DailyGrimoire), 369 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/DailyGrimoire.

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.