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 15 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
13 measurements spanning 42 days, net +54. 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 2,792–2,863 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 23:21
2,855
+5
13 Sept 2026, 01:57
2,850
+14
9 Sept 2026, 04:37
2,836
+6
3 Sept 2026, 22:38
2,830
+16
31 Aug 2026, 11:35
2,814
-3
25 Aug 2026, 22:27
2,817
+1
22 Aug 2026, 13:13
2,816
+10
19 Aug 2026, 03:35
2,806
+6
16 Aug 2026, 09:06
2,800
-4
12 Aug 2026, 19:13
2,804
+2
9 Aug 2026, 23:36
2,802
+1
6 Aug 2026, 05:07
2,801
no change
6 Aug 2026, 02:51
2,801
first reading
Engagement
14 posts held, back to 20 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 2 pages 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 14 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
23s
Average length
23s
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.
Reaction mix
23 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 34.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🥰
8
34.8%
❤
7
30.4%
😁
5
21.7%
👍
2
8.70%
🙈
1
4.35%
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 14 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 86 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 20 July 2026 to 7 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.
AI 时代的我,过得像个农民。
每天睡觉之前,我要种一点东西。打开电脑,看看手头有什么,或许是几篇资料,一段录音,一些没写完的程序,一堆还没整理的图片。分一分,筛一筛,挑出来些好的想法,种到智能体里面去。
和稻谷一样,种下去发芽也是需要时间的。任务布置完,电脑屏幕亮起,屏幕上的终端时不时跳一下,没什么好看的。智能体的图标一闪一闪,说它在思考。AI 在想,我也不知道它在想什么,就像我也不知道稻子发芽前在想什么一样。
想也没有用,该长会长。我便去烧水、洗澡,一会儿关灯睡觉了。
第二天早上起来,去看看收成。
有时很好,资料分门别类地整理好了,文件名也改过了,录音被转录成文字,细细地按说话人和主题切成臊子,程序打包好了,还留了一份说明。
有时不太好。出去找资料的智能体找回了一堆 AI slop 的玩意儿,还在输出里犟嘴,写东西的智能体写到一半发疯,把要保留的东西删掉了,还给你附上一封离职证明。
能咋办,坐下来,冲杯茶,一份…
Showing the 12 most recent of 14 posts we hold for @ijustseesee. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
TG吃瓜黑料八卦 @baguabox · 33,433 Telegram ranks this channel #14 of 38 here — alongside 37 others — read 4 September 2026
上班划水之无聊图 @goworkbitch · 24,812 Telegram ranks this channel #17 of 52 here — alongside 51 others — read 15 September 2026
煎蛋无聊图 @jandan_pic · 25,263 Telegram ranks this channel #33 of 51 here — alongside 50 others — read 14 September 2026
如何与沙雕相处 @ruheyushadiaoxiangchu · 28,742 Telegram ranks this channel #40 of 44 here — alongside 43 others — read 9 September 2026
平壤卫视 @pingrangTV · 29,178 Telegram ranks this channel #43 of 45 here — alongside 44 others — read 8 September 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“蛋挞观察室” (@ijustseesee), 2,855 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/ijustseesee.
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.