Channel
@dangantime
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
291subscribers
-4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002189687950 |
|---|---|
| Type | Channel |
| Username | @dangantime |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/dangantime |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 03:17 | 291 | -1 |
| 27 Aug 2026, 22:04 | 292 | -1 |
| 21 Aug 2026, 10:27 | 293 | -1 |
| 8 Aug 2026, 08:06 | 294 | no change |
| 7 Aug 2026, 21:42 | 294 | -1 |
| 7 Aug 2026, 19:08 | 295 | first reading |
19 posts held, back to 6 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 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 19 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 videos 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.
81 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 34.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 34.6% | |
| 💘 | 19 | 23.5% | |
| 🕊 | 14 | 17.3% | |
| custom 5348541581370612835 | 6 | 7.41% | |
| custom 5217792799671357425 | 4 | 4.94% | |
| 💋 | 3 | 3.70% | |
| 🍌 | 2 | 2.47% | |
| 🐳 | 2 | 2.47% | |
| 🔥 | 2 | 2.47% | |
| custom 5375421286300279107 | 1 | 1.23% |
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 19 of the 19 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 81 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 6 August 2026 to 8 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.
╭─────────────── ╰─➛ #ВашеТворчество ₊˚•. ˖⋆࿐໋₊ Рантаро амами! Наконец-то получилось нормально, хоть и по туториалам! в ТГК проходят раздевашки, ещё семь человек и выкладываю вторую часть, подписывайтесь! @noxi010203 ︶︶︶꒷︶꒷꒥꒷‧₊˚･ﾟˊ @dangantime_bot .˚ ₍Ꭺдʍ.₎┊⌇ Ꭲᴀᴋ, нᴇʍнᴏжᴋᴏ ᴏᴛᴧᴏжу ʙᴨ, ᴛᴀᴋ ᴋᴀᴋ ʍᴇня ʙнᴇɜᴀᴨнᴏ ɜᴀбиᴩᴀюᴛ ᴨᴏ дᴇᴧᴀʍ (ᴇᴄᴧи чᴛᴏ, ʍᴏжᴇᴛᴇ ᴨᴩᴇдᴧᴀᴦᴀᴛь, ᴨж, я нᴇ хᴏчу ᴄᴀʍᴀ иᴄᴋᴀᴛь 👉👈) ЧТО ЗА ПРЕЛЕСТЬ Ꭲᴀᴋᴀя ᴨᴩᴏᴩᴀбᴏᴛᴋ…
❤2
˙°˖💉 ⋆｡˚꩜ ✩°˖[💌]⋆•｡꩜° ╳°»｡ ∾･Ꭿⅆɱⅈɳ ℳⅈƙaɳ๑˚ ۪۪◌❤️🩹꒱ -------------------------------- ꒥꒷Ꮯᴏʍʍᴇnᴛ: Ꭰᴏбᴩᴏᴇ уᴛᴩᴏ! Ᏼᴄᴇʍ хᴏᴩᴏɯᴇᴦᴏ дня~ ·Ꮻriginᴀl: ꈍᴗꈍ (tumblr) ~Рᴇᴀᴋции? ^-^ ·Ꮋᴀshᴛᴀgs: #Gonta ~Бустик
❤1💘1
╭─────────────── ╰─➛ #ВашеТворчество ₊˚•. ˖⋆࿐໋₊ Амагуджи коллаб Тгк кривого рантаро: @noxi010203 (на канале раздевашки проходят, подписывайтесь) Тгк шикарного кие: @m0rg44 (Видимо никого кроме шингуджи я рисовать не умею, по этому терпите) ︶︶︶꒷︶꒷꒥꒷‧₊˚･ﾟˊ @dangantime_bot .˚ ₍Ꭺдʍ.₎┊⌇ КАК ЭТО ШИКАРНО, ВОАОВОА Ꮻчᴇнь ʙᴋуᴄныᴇ ᴄᴛиᴧи >•< Ꭰᴀ ᴧᴀднᴏ, ϶ᴛᴏ нᴀᴏбᴏᴩᴏᴛ хᴏᴩᴏɯᴏ, чᴛᴏ ʙы ᴩиᴄуᴇᴛᴇ ᴋᴏᴦᴏ-ᴛᴏ, ᴋᴛᴏ, ᴨᴏ ʙᴀɯᴇʍу ʍнᴇнию, хуж…
❤2💘1
˙°˖💉 ⋆｡˚꩜ ✩°˖[💌]⋆•｡꩜° ╳°»｡ ∾･Ꭿⅆɱⅈɳ ℳⅈƙaɳ๑˚ ۪۪◌❤️🩹꒱ -------------------------------- ꒥꒷Ꮯᴏʍʍᴇnᴛ: ☆࿐ཽ༵«Тᥙ᥊᧐… 𑀝᧘ᥙɯκ᧐ⲙ ᴛᥙ᥊᧐… И ʙᥴё жᥱ ϶ᴛᥲ ᴛᥙɯᥙнᥲ ᧐чᥱнь ᧐ᥴʙᥱжᥲᥱᴛ. Рᥲньɯᥱ я ᥴ᧘ыɯᥲ᧘ ᥴʙ᧐ᥔ ʙнуᴛρᥱннᥙᥔ ᴦ᧐᧘᧐ᥴ ᥴ ᥴ᧐ʙᥱρɯᥱнн᧐ᥔ яᥴн᧐ᥴᴛью… 𐌏н нᥲᥰ᧐᧘ня᧘ ⲙᥱня ᥴᥙ᧘᧐ᥔ нᥲдᥱжды… 𐋏ᥲᥰρᥲʙ᧘я᧘ ⲙᥱня ᥰ᧐ ᥰρᥲʙᥙ᧘ьн᧐ⲙу ᥰуᴛᥙ… …𐋏᧐ я δ᧐᧘ьɯᥱ ᥱᴦ᧐ нᥱ ᥴ᧘ыɯу. Тᥱᥰᥱρь я ᥴ᧘ыɯу ᴛ᧐᧘ьκ᧐ ᴛᥙɯᥙну. Эᴛᥲ ᴛᥙɯᥙнᥲ ᧐ᤋнᥲчᥲᥱᴛ, чᴛ᧐ ⲙ᧐я ʙ᧐᧘я ᴛᥱᥰᥱρь ᥰρᥙнᥲд᧘ᥱжᥙᴛ ⲙнᥱ. Дᥲжᥱ ᥱᥴ᧘…
❤3🐳1💘1
˙°˖💉 ⋆｡˚꩜ ✩°˖[💌]⋆•｡꩜° ╳°»｡ ∾･Ꭿⅆɱⅈɳ ℳⅈƙaɳ๑˚ ۪۪◌❤️🩹꒱ -------------------------------- ꒥꒷Ꮯᴏʍʍᴇnᴛ: ·Ꮻriginᴀl: ꈍᴗꈍ (pixiv) ~Рᴇᴀᴋции? ^-^ ·Ꮋᴀshᴛᴀgs: #Sonia ~Бустик
❤3custom 52177927996713574251custom 53485415813706128351
╭─────────────── ╰─➛ #ВашеТворчество ₊˚•. ˖⋆࿐໋₊ Бригаду почему в лесу есть скамейка... Я ненавижу рисовать фоны и вам советую ︶︶︶꒷︶꒷꒥꒷‧₊˚･ﾟˊ @dangantime_bot .˚ ₍Ꭺдʍ.₎┊⌇ Ꮻᴨ-ᴏᴨ-ᴏᴨ, ужᴇ дʙᴀ ᴨᴇᴩᴄᴏнᴀжᴀ нᴀ ᴏднᴏʍ ᴀᴩᴛᴇ :33 Я дᴏ ϶ᴛᴏᴦᴏ ʙᴄё ᴧицᴏ ᴨᴏдʍᴇчᴀᴧᴀ, нᴏ ЗДЕСЬ ЕЩЁ И РУЧКИ ТАКИЕ ВКУСНЫЕ >>> Ꮯᴨᴀᴄибᴏ, чᴛᴏ ᴨᴏдᴇᴧиᴧиᴄь~♡ #Hajime #Nagito
❤2
˙°˖💉 ⋆｡˚꩜ ✩°˖[💌]⋆•｡꩜° ╳°»｡ ∾･Ꭿⅆɱⅈɳ ℳⅈƙaɳ๑˚ ۪۪◌❤️🩹꒱ -------------------------------- ꒥꒷Ꮯᴏʍʍᴇnᴛ: Ꭼᴄᴛь ᴧи ʙ ᴩᴏнᴨᴇ убийцы, ᴋᴏᴛᴏᴩых ʙы ʍᴏᴦᴧи бы ᴏᴨᴩᴀʙдᴀᴛь? Иᴧи ʙы ᴄчиᴛᴀᴇᴛᴇ ᴧюбᴏᴇ убийᴄᴛʙᴏ нᴇᴨᴩᴀʙиᴧьныʍ и нᴇдᴏᴄᴛᴏйныʍ ᴨᴩᴏщᴇния? Ᏼᴏᴛ ᴛᴀᴋиᴇ ʙᴏᴨᴩᴏᴄиᴋи нᴀ ᴨᴏʙᴇᴄᴛᴋᴇ дня :^ ·Ꮻriginᴀl: ꈍᴗꈍ (pixiv) ~Рᴇᴀᴋции? ^-^ ·Ꮋᴀshᴛᴀgs: #Kirumi ~Бустик
❤1
╭─────────────── ╰─➛ #ВашеТворчество ₊˚•. ˖⋆࿐໋₊ Кароче немного шалим Раздевашки!!! Условия: • 150 подпищиков • 20 комментов (без спама) • 30 реакций тгк: @noxi010203 ︶︶︶꒷︶꒷꒥꒷‧₊˚･ﾟˊ @dangantime_bot .˚ ₍Ꭺдʍ.₎┊⌇ [Я нᴇ ɜнᴀю, ᴄᴛᴀʙиᴛь ᴧи ᴨᴩᴇдуᴨᴩᴇждᴇниᴇ нᴀ ᴛᴇнᴛᴀᴋᴧи, нᴏ ᴨуᴄᴛь будᴇᴛ] ОГО, ХОРОШО Ꮧᴀднᴏ, я ᴨᴏᴛᴏʍ ᴏᴛдᴇᴧьнᴏ ᴋᴏʍʍᴇнᴛ нᴀᴨиɯу, ᴋхʍ.. Ꭺ ɜдᴇᴄь ᴄᴋᴀжу, ᴋᴀᴋ ʍнᴇ нᴩᴀʙяᴛᴄя ʙᴏᴧᴏᴄы и ᴦᴧᴀɜᴀ, ʙᴋуᴄнᴇйɯий ᴨᴏᴋᴩᴀᴄ, ну ᴄʍᴀᴋ 🤌🤌 Ꮯᴨ…
❤2🍌2🕊2💋1💘1
𖹭 ⏜︵⏜ 𖹭 ⏜︵⏜ 𖹭 ╰┈➤▪️𝚍𝚖𝚒𝚗 𝚂𝚘𝚠𝚊𝚛𝚒 🕊️ ｡ﾟ•┈୨New post!୧┈• ｡ﾟ 🥹Characters : #Makoto ── ⟢ ・⸝⸝𓍯𓂃𓏧♡ 🥹🥹Credit on ❌🥹 ! (*ᴗˬᴗ)ꕤ*.ﾟ 🥹🥹🥹Tap🥹🥹 . ݁₊ ⊹ . ݁ ⟡ ݁ . ⊹ ₊ ݁.₊✩‧₊˚౨ৎ˚₊✩‧₊˚˚ 𝜗𝜚˚⋆｡☆
❤2💋1💘1🕊1
𖹭 ⏜︵⏜ 𖹭 ⏜︵⏜ 𖹭 ╰┈➤▪️𝚍𝚖𝚒𝚗 𝚂𝚘𝚠𝚊𝚛𝚒 🕊️ ｡ﾟ•┈୨New post!୧┈• ｡ﾟ 🥹Characters : #Masaru 🥹Tags : #Анимация ── ⟢ ・⸝⸝𓍯𓂃𓏧♡ 🥹🥹Credit on 📱🥹 ! (*ᴗˬᴗ)ꕤ*.ﾟ 🥹🥹🥹Tap🥹🥹 🥹🥹Comment : (Сᥰ᧐ᥔ᧘ᥱρы κ ρ᧐нᥰᥱ удᴦ!) . ݁₊ ⊹ . ݁ ⟡ ݁ . ⊹ ₊ ݁.₊✩‧₊˚౨ৎ˚₊✩‧₊˚˚ 𝜗𝜚˚⋆｡☆
❤1💘1🕊1
𖹭 ⏜︵⏜ 𖹭 ⏜︵⏜ 𖹭 ╰┈➤▪️𝚍𝚖𝚒𝚗 𝚂𝚘𝚠𝚊𝚛𝚒 🕊️ ｡ﾟ•┈୨New post!୧┈• ｡ﾟ 🥹Characters : #Kaito #Shuichi #Maki ── ⟢ ・⸝⸝𓍯𓂃𓏧♡ 🥹🥹Credit on ❌🥹 ! (*ᴗˬᴗ)ꕤ*.ﾟ 🥹🥹🥹Tap🥹🥹 🥹🥹Comment : д᧐δρ᧐ᴦ᧐ уᴛρᥱчκᥲ!~ 🥹 . ݁₊ ⊹ . ݁ ⟡ ݁ . ⊹ ₊ ݁.₊✩‧₊˚౨ৎ˚₊✩‧₊˚˚ 𝜗𝜚˚⋆｡☆
❤1💋1🕊1
𖹭 ⏜︵⏜ 𖹭 ⏜︵⏜ 𖹭 ╰┈➤▪️𝚍𝚖𝚒𝚗 𝚂𝚘𝚠𝚊𝚛𝚒 🕊️ ｡ﾟ•┈୨New post!୧┈• ｡ﾟ 🥹Characters : #Angie ── ⟢ ・⸝⸝𓍯𓂃𓏧♡ 🥹🥹Credit on ❌🥹 ! (*ᴗˬᴗ)ꕤ*.ﾟ 🥹🥹🥹Tap🥹🥹 🥹🥹Comment : С᧘ᥲдκᥙх ᥴн᧐ʙ!🥹 . ݁₊ ⊹ . ݁ ⟡ ݁ . ⊹ ₊ ݁.₊✩‧₊˚౨ৎ˚₊✩‧₊˚˚ 𝜗𝜚˚⋆｡☆
💘2❤1🕊1
Showing the 12 most recent of 19 posts we hold for @dangantime. 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.
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.
Named by 3 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.
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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“૮₍ •⤙•˶⌇𝙳𝚊𝚗𝚐𝚊𝚗.𝚃𝚒𝚖𝚎˚ ͙۪۪̥꒱” (@dangantime), 291 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/dangantime.
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.