25 年毕业,今年就工作了两个半月。八月末离的职。挣了 2.2w, 现在还剩 1.2w. 躺了一个月,还是不想上班。有没有什么比较清闲的工作推荐,工资只需要维持生存居住即可. 「树洞群友问」|「投稿通道」
❤1

Channel
@qunyouwen
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
89,267subscribers
+1,515 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001305028699 |
|---|---|
| Type | Channel |
| Usernames | @qunyouwen @ShortcutsCN |
| Description | 发现各种喜闻乐见,只要是问题,洞友都可以在这里问。群友问期待洞友的加入! 洞友频道投稿: @zaihuabot (选择群友问投稿) 禁止非法内容,一经发现拉黑投稿! 频道内容搜索 @qywsobot 侵权/解封/帮助 @zaihuaAskBot 备用频道:@zaihuatg |
| Created | 18 September 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 68 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/qunyouwen |
Technology — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 21:41 | 89,267 | -37 |
| 25 Sept 2026, 01:21 | 89,304 | -158 |
| 18 Sept 2026, 20:59 | 89,462 | -36 |
| 17 Sept 2026, 19:58 | 89,498 | -12 |
| 16 Sept 2026, 13:39 | 89,510 | +2 |
| 15 Sept 2026, 16:17 | 89,508 | -1 |
| 14 Sept 2026, 18:55 | 89,509 | no change |
| 14 Sept 2026, 00:37 | 89,509 | -4 |
| 13 Sept 2026, 02:19 | 89,513 | -8 |
| 12 Sept 2026, 10:17 | 89,521 | -13 |
| 11 Sept 2026, 06:41 | 89,534 | -19 |
| 10 Sept 2026, 09:36 | 89,553 | -18 |
| 8 Sept 2026, 08:36 | 89,571 | -11 |
| 7 Sept 2026, 04:40 | 89,582 | -64 |
| 5 Sept 2026, 02:57 | 89,646 | -19 |
| 4 Sept 2026, 11:20 | 89,665 | +13 |
| 3 Sept 2026, 12:19 | 89,652 | +1 |
| 3 Sept 2026, 00:34 | 89,651 | -9 |
| 2 Sept 2026, 06:04 | 89,660 | -7 |
| 2 Sept 2026, 00:42 | 89,667 | first reading |
707 posts held, back to 4 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 117 pages of Telegram’s post history, 20 posts per page.
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 251 of 318 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 707 (4 August 2026 – 2 October 2026) |
| Views total | 710,340 |
| Reactions total | 2,098 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 12:38 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.
Lifetime counters from Telegram’s own channel header, read 2 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.
Measured directly from 1 video 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.
4,110 reactions across 438 posts, in 54 distinct kinds. The most used accounts for 21.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 864 | 21.0% | |
| 👎 | 738 | 18.0% | |
| ❤ | 419 | 10.2% | |
| 🤣 | 308 | 7.49% | |
| 😁 | 227 | 5.52% | |
| 👍 | 174 | 4.23% | |
| 😢 | 174 | 4.23% | |
| 🌭 | 156 | 3.80% | |
| 🤪 | 133 | 3.24% | |
| 🤨 | 123 | 2.99% | |
| 🥱 | 108 | 2.63% | |
| 🤔 | 69 | 1.68% | |
| 🗿 | 61 | 1.48% | |
| 🤯 | 61 | 1.48% | |
| 👏 | 45 | 1.09% | |
| 🫡 | 42 | 1.02% | |
| 🌚 | 33 | 0.803% | |
| 🥰 | 33 | 0.803% | |
| 😭 | 32 | 0.779% | |
| 🔥 | 24 | 0.584% | |
| 34 further kinds | 286 | 6.96% |
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 514 of the 707 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 4,284 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 707 most recent posts we hold, published 4 August 2026 to 2 October 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.
25 年毕业,今年就工作了两个半月。八月末离的职。挣了 2.2w, 现在还剩 1.2w. 躺了一个月,还是不想上班。有没有什么比较清闲的工作推荐,工资只需要维持生存居住即可. 「树洞群友问」|「投稿通道」
❤1
鼻炎问题在郑州哪个医院看好,之前在小县城的二甲拍片看了下,有鼻中隔偏曲和鼻甲肥大,而且我鼻子看上去比正常人大不少。左边的鼻子几乎堵住一大半,平时呼吸都有点费劲,而且从小学开始基本上就闻不到味了。是看中医还是西医,推荐去郑州的哪个医院呢? 「树洞群友问」|「投稿通道」
👍1
有没有 ios 好用的漫画软件,之前用过栗子,但是现在要广告了,看着难受,cola 一直不稳定,现在网站都不开,还有一些的导入漫画源的软件,我能找到的源都是资源不全,更新慢的,所以大家有没有推荐的 「树洞群友问」|「投稿通道」
👍1
想问一下国内外的各大 Agent 哪些最好用?有没有大手子知道哪个用的比较舒服顺手?像 Claude Code,CodeX,ZCode,DeepSeek harness,Trae,QCoder 这些。最好带上你们在使用这些 agents 过程的时候用的什么模型,感谢!🙏 「树洞群友问」|「投稿通道」
推特苹果登陆不了是怎么回事?一直提醒使用正版 App 或者使用最新版 App 重试,就是正常从应用商店下载安装的呀,为什么一直提示这个?你们有这回事吗? 「树洞群友问」|「投稿通道」
我有个朋友让我帮忙问一下怎么区分焦虑和抑郁,到什么阶段才会无药可救 「树洞群友问」|「投稿通道」
打飞机一两分钟就结束了,是不是要早泄了,我还是处男啊。想戒了,可是不把压力打出来又满脑子想着去约炮,这样看相对下来还是打飞机比较健康和方便。但是打着打着阈值越来越高,感觉打飞机已经不能满足我了,烦,满脑子又想着去和真人做爱。已经不敢直视头上的太阳了,因为这会让我觉得自己像一只阴沟里的老鼠🐀 「树洞群友问」|「投稿通道」
🌭14👎4🤡3
彦祖们求助 我自 25 年 11 月起,到现在睡眠一直不太好,睡 5.5-6.5 小时就早醒 个人感觉:在学校遇挫折➕焦虑内耗—睡眠不好—神经变差,脑力变差,体质变差,情绪变差—拖延,懒惰—状态越来越差 还有一个因素,平躺时会一侧鼻子堵塞,没招了这个我用了布地奈德也没有好(64ug),难受😣 每天都是口呼吸代偿,多年都是这样,鼻炎这个问题初中就有了好像,就算当时抠鼻子扣损了,总不能现在还没有好吧,很神奇啊我的鼻炎,就是平躺时,还有洗澡时会一侧鼻子堵塞(捏住通气那边的鼻子,然后不能够呼吸) 好焦虑这个事,明显感觉身体不如 2024 年的时候,当时顶多是干精细活会手发抖(修我的红米 k40,接同轴线时候会手抖),当时有长痘,但是不像现在这么多,真的没招了彦祖们 目前:在用过氧苯甲➕阿达帕林➕盐酸啥的抗炎药(17 块 2 盒医生开的) 我感觉得先睡得好才能改善,但是就是睡不好,吃了谷维素才睡到 7 小时(一次性没醒过的),…
❤3😘1
我忏悔,压抑了找飞机上的聊天,结果对方是骗子,泄露了手机号,还好我没有同意语音或者视频。但是还是被盒出来了通讯录,现在我不搭理他了,后面会有什么影响吗?有什么方法能止损吗?目前只是一直被短信注册验证码轰炸 「树洞群友问」|「投稿通道」
🤣45❤3😇2
如何通过建立其他正常爱好带来的快乐超过✈来戒掉这个呢,这是可行的吗,我慢慢发现有时候就纯是娱乐视频不好看,游戏打不动,模型懒得拼,✈最容易而且能带来快感才喜欢上这个的,感觉要变成依赖了,自我感觉很不好,感觉自己变得好懒没有活力。。。。。。 「树洞群友问」|「投稿通道」
大家都用 codex 跟 DSH 在干哪些项目或者有意思的事情呢? 可以让 ai 在空闲的时候干什么事情呢? 感觉有了 ai 之后,也没有那么频繁的去使用 「树洞群友问」|「投稿通道」
请问现在还有什么第三方电报,既有广告过滤功能,又有加速下载的。 新版本 nagram 这两个功能已经被砍掉了,旧版本会一直跳更新提示关不了;nnngram 的规则过滤没有 na 的方便,extragram 只有加速下载没有广告过滤… 「树洞群友问」|「投稿通道」
Showing the 12 most recent of 707 posts we hold for @qunyouwen. 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.
@qunyouwen 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.
Named by 6 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.
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.
Read from Telegram’s recommendation API, most recently 17 August 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.
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.
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“树洞🌳群友问❓有点意思🗳” (@qunyouwen), 89,267 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/qunyouwen.
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.