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Channel

After Effects Projects

@After_Effects_Projects

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

9,260subscribers

+142 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001419553752
TypeChannel
Username@After_Effects_Projects
DescriptionШаблоны моушн-дизайна. Все материалы - только для ознакомления и тестирования работоспособности. Реклама и ВП - @MotionDesign_admin @VideoHive_templates @Envato_Elements_Templates @After_Effects_Projects @PremierePro_templates @DaVinci_Resolve_Templates
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/After_Effects_Projects

Topic

Software piracy — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@After_Effects_Projects/1616 · this entry18 Jul 2026, 11:05 UTC@videohive_templates/1055931 Jul 2026, 02:57 UTC1.0013 days
@After_Effects_Projects/1616 · this entry18 Jul 2026, 11:05 UTC@PremierePro_templates/255431 Jul 2026, 02:55 UTC1.0013 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@videohive_templates7 (7/7 hand-verifiable sample passed)1.0034 hoursthis entry (5–2)
@PremierePro_templates7 (7/7 hand-verifiable sample passed)1.007 daysthis entry (7–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 57 comparable posts for this entry, running 15 May 2026 to 9 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

9,1189,2609,1896 August 2026 — 9,118 subscribers7 August 2026 — 9,119 subscribers9 August 2026 — 9,121 subscribers13 August 2026 — 9,127 subscribers16 August 2026 — 9,138 subscribers19 August 2026 — 9,148 subscribers23 August 2026 — 9,157 subscribers26 August 2026 — 9,156 subscribers29 August 2026 — 9,157 subscribers1 September 2026 — 9,165 subscribers6 September 2026 — 9,179 subscribers11 September 2026 — 9,194 subscribers14 September 2026 — 9,204 subscribers19 September 2026 — 9,217 subscribers6 October 2026 — 9,209 subscribers12 October 2026 — 9,217 subscribers15 October 2026 — 9,219 subscribers18 October 2026 — 9,215 subscribers22 October 2026 — 9,224 subscribers25 October 2026 — 9,230 subscribers28 October 2026 — 9,229 subscribers31 October 2026 — 9,238 subscribers3 November 2026 — 9,239 subscribers7 November 2026 — 9,252 subscribers10 November 2026 — 9,260 subscribers6 August 202610 November 2026
25 measurements spanning 95 days, net +142. 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 9,097–9,281 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
10 Nov 2026, 11:109,260+8
7 Nov 2026, 04:419,252+13
3 Nov 2026, 17:399,239+1
31 Oct 2026, 13:309,238+9
28 Oct 2026, 12:069,229-1
25 Oct 2026, 06:179,230+6
22 Oct 2026, 10:569,224+9
18 Oct 2026, 18:579,215-4
15 Oct 2026, 13:099,219+2
12 Oct 2026, 16:109,217+8
6 Oct 2026, 05:229,209-8
19 Sept 2026, 03:419,217+13
14 Sept 2026, 11:379,204+10
11 Sept 2026, 01:409,194+15
6 Sept 2026, 02:579,179+14
1 Sept 2026, 18:549,165+8
29 Aug 2026, 20:059,157+1
26 Aug 2026, 14:379,156-1
23 Aug 2026, 07:179,157+9
19 Aug 2026, 12:229,148first reading

Engagement

61 posts held, back to 15 May 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.3%
avg views ÷ 9,260 subscribers
Avg views / post
951
23 posts measured
Reaction rate
0.094%
reactions ÷ views · ER floor
Posts in window
23
of 61 held

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 5 of 23 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held61 (15 May 2026 – 11 November 2026)
Views total21,873
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 12:55 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.

What this channel posts

Photos
8
Videos
794
Links
813

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1h 26m
Average length
1m 34s

Measured directly from 55 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.

Reaction mix

31 reactions across 18 posts, in 2 distinct kinds. The most used accounts for 96.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3096.8%
👍13.23%

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 61 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 15 May 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 1 of 23 posts held from the last 30 days (4.35%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 05:53 UTC302 viewsread 11 November 2026
Video

📱 Modified Instagram Stories 25018572 Расширьте свое присутствие в социальных сетях с помощью этих современных анимированных историй для соцсетей #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

8 Nov 2026, 07:09 UTC352 views2 reactionsread 11 November 2026
Video

📱 54594760 Slideshow Universal Version 1 набор для создания универсального шаблона слайд-шоу в #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

❤2

6 Nov 2026, 06:32 UTC461 viewsread 11 November 2026
Video

📱 📱 After Effects & Premiere Pro Plugins & Effects Pack V 22 20601772 Улучшайте качество своих видеороликов с помощью инструментов кинематографического повествования и эффектов. 20 КИНОПАКЕТОВ И более 10 000 эффектов и ресурсов внутри расширения #PremierePro #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

5 Nov 2026, 16:20 UTC455 viewsread 11 November 2026
Video

📱 TITR Dynamic Typography Pack набор современной кинетической типографики предлагает широкий выбор динамических текстовых анимаций для заголовков и нижних титров. #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

4 Nov 2026, 15:10 UTC520 viewsread 11 November 2026
Video

📱 Info Pictures универсальная коллекция анимированных элементов инфографики, предназначенных для наглядной визуализации данных. #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

4 Nov 2026, 15:03 UTC423 viewsread 11 November 2026
Video

📱 Multi Screen Pack динамичную коллекцию многоэкранных и разделенных экранов, которые идеально подходят для одновременной демонстрации разнообразного контента. ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

2 Nov 2026, 17:49 UTC455 views1 reactionsread 11 November 2026
Forwarded from @Envato_Elements_TemplatesPhoto

📱⌨️😅🎬 😱 Blastwave FX Horror Коллекция жутких звуков серии Horror охватывающей все: от окружающей атмосферы, льющейся крови до звона цепей и мистических звуковых палитр. Подходит для создания триллеров, фильмов ужасов и роликов мистической тематики. #DaVinciResolve #AppleMotion #FinalCutPro #PremierePro #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUT

❤1

1 Nov 2026, 11:54 UTC377 views1 reactionsread 11 November 2026
Forwarded from @volnitsa_newsVideo

Друзья, долгая подготовка наконец закончена и мы представляем вам Motion Type Tiny — бесплатный курс по моушн-дизайну для тех, кто всегда хотел попробовать, но не знал с чего начать! Мы познакомимся с Adobe Photoshop, Adobe Illustrator и Adobe After Effects, сделаем 3 яркие работы под пристальным надзором кураторов и, конечно, положим их в портфолио Забирай курс по ссылке и начинай учиться яркому моушн-дизайну пря…

❤1

1 Nov 2026, 08:01 UTC550 viewsread 11 November 2026
Video

📱 Generative Paper Transitions Vertical 59948712 набор совершенно разнообразных переходов через порванную бумагу для ваших новых работ в #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

31 Oct 2026, 11:08 UTC589 viewsread 11 November 2026
Video

📱 Abstract Nature TV Mockups анимированный макет экрана телевизора на фоне минималистичного стилизованного пейзажа. #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

31 Oct 2026, 07:29 UTC≈2,840 viewsread 11 November 2026
Video

📱 Ultimate World Map Toolkit - Country Info, Connections & Travel Routes универсальный набор инструментов для создания карт мира включает в себя профессиональный набор анимированных географических объектов для высококачественного видеопроизводства. #AfterEffects ✅VideoHive / Envato / Ae / PPro / DaVinci / FCPro / Apple Motion / Motion Graphics / SFX / Free LUTs ✅

Showing the 12 most recent of 61 posts we hold for @After_Effects_Projects. 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.

Posts recorded as deleted after publishing

We recorded 8 posts on @After_Effects_Projects as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
20 August 2026
Most recent seen missing
10 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
3

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 9 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.

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.

VIDEOHIVE ADOBE AFTER EFFECTS
@MansurbekRustamov · 20,003
Telegram ranks this channel #26 of 63 here — alongside 62 others — read 28 September 2026
Premiere Pro Templates
@PremierePro_templates · 22,813
Telegram ranks this channel #32 of 66 here — alongside 65 others — read 20 September 2026
Videohive Templates
@videohive_templates · 31,325
Telegram ranks this channel #59 of 68 here — alongside 67 others — read 6 September 2026
After Effects Templates
@aftereffects_tmpl · 29,684
Telegram ranks this channel #61 of 70 here — alongside 69 others — read 20 September 2026
PremTempStorage
@PPStorage · 19,624
Telegram ranks this channel #62 of 65 here — alongside 64 others — read 4 October 2026
Шаблоны для Premiere Pro
@PremTemp · 49,063
Telegram ranks this channel #66 of 77 here — alongside 76 others — read 26 August 2026

This channel appears in 6 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“After Effects Projects” (@After_Effects_Projects), 9,260 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/After_Effects_Projects.

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.