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Telegram profile photo for 🤯 nnq の 深渊电台

Channel

🤯 nnq の 深渊电台

@nnqtv

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

798subscribers

+99 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003962054352
TypeChannel
Username@nnqtv
CreatedBetween 1 April 2026 and 21 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live2 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/nnqtv

Growth

699798748.57 August 2026 — 699 subscribers8 August 2026 — 699 subscribers14 August 2026 — 732 subscribers20 August 2026 — 766 subscribers26 August 2026 — 781 subscribers2 September 2026 — 798 subscribers7 August 20262 September 2026
6 measurements spanning 25 days, net +99. 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 684–813 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 06:44798+17
26 Aug 2026, 18:43781+15
20 Aug 2026, 05:14766+34
14 Aug 2026, 03:58732+33
8 Aug 2026, 02:19699no change
7 Aug 2026, 20:47699first reading

Engagement

17 posts held, back to 21 July 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 17 posts for this entry, the most recent from 1 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
4s
Average length
4s

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

111 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 30.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3430.6%
🥰2724.3%
💊2018.0%
🤯87.21%
❤‍🔥54.50%
🔥54.50%
🤣54.50%
😨32.70%
👏21.80%
💋10.901%
😍10.901%

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 16 of the 17 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 111 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 21 July 2026 to 1 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

1 Aug 2026, 14:24 UTC322 views7 reactionsread 8 August 2026
Forwarded from @ElysiumButterPhoto

透明人间君的日常 游戏介绍: 【塩田】社团发布的一款非常有意思的像素互动游戏。 你控制的男主变成了一个透明人,所有人都看不见他(JJ也透明了) 可以选择10个不同的场所,对所见到的人做各种エロ的事情~ 每个场景有8-10个不同H阶段,一共近百种不同的奇趣エロ玩法。 所有场景都是像素动态进行,有社保音效,非常的有意思!推荐尝试! 目前已经使用云翻工具进行了云汉化,汉化效果还不错。 注:我的建议是转区玩日版,注意用全英文路径 #透明人间君的日常 下载地址

🥰7

27 Jul 2026, 04:23 UTC917 views37 reactionsread 8 August 2026

抱歉了群友们,最近我可能要消失一段时间,关于千恋万花动画化,我已经接到了柚子社的邀请,我将为有地将臣担任 CV,原因是贴近本人现实日常生活,一定不会辜负大家的期望

💊20🤯7🤣53👏2

24 Jul 2026, 12:48 UTC≈1,050 views5 reactionsread 8 August 2026
Photo

Photo, posted without a caption

3🥰2

22 Jul 2026, 10:09 UTC≈1,250 views7 reactionsread 8 August 2026
Video

Video, posted without a caption

❤‍🔥5🔥2

22 Jul 2026, 05:23 UTC≈1,030 views8 reactionsread 8 August 2026
Photo

벨룰루(Belle lulu): 琴子确实是腹部脂肪的女王。

🥰71

22 Jul 2026, 02:23 UTC911 views10 reactionsread 8 August 2026
Photo

⚠️低存在猎奇警告⚠️ ⚠️low guro Warning⚠️ 论魅魔如何解决批太松 https://exhentai.org/g/3960328/bae867f499/

🥰5😨31😍1

21 Jul 2026, 08:26 UTC760 views1 reactionsread 8 August 2026

Bangumi 热门动画 Top 10 2026-07-21 16:26 1. 尼古喵喵 7.1分 / 2026年7月2日 / 木村拓 2. 无职转生 第三季 ~到了异世界就拿出真本事~ 8.0分 / 14话 / 2026年7月4日 3. 穹庐下的魔女 7.9分 / 12话 / 2026年7月4日 4. 二十世纪电气目录 5.8分 / 13话 / 2026年7月5日 5. 与你相恋到生命尽头 7.2分 / 13话 / 2026年7月7日 6. BanG Dream! YUME∞MITA 6.8分 / 13话 / 2026年7月2日 7. 碧蓝之海 第三季 7.2分 / 2026年7月6日 / 高松信司 8. 相反的你和我 第二季 7.5分 / 13话 / 2026年7月5日 9. 再见菈菈 7.3分 / 12话 / 2026年7月5日 10. Grow Up Show ~向

1

Showing the 12 most recent of 17 posts we hold for @nnqtv. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“🤯 nnq の 深渊电台” (@nnqtv), 798 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/nnqtv.

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.