Telegram RegisterThe public register of Telegram
Telegram profile photo for 3D FLEX

Channel

3D FLEX

@flex_cg_vfx

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Stars · Advertising · Posts · Telegram's recommendations · Cite this entry

17,816subscribers

+361 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001694399192
TypeChannel
Username@flex_cg_vfx
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/flex_cg_vfx

Topic

Education — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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.

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 word for word 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@flex_link/592818 Jul 2026, 07:52 UTC@flex_cg_vfx/2682 · this entry18 Jul 2026, 07:52 UTC1.00under a minute
@flex_link/594927 Jul 2026, 07:20 UTC@flex_cg_vfx/2696 · this entry27 Jul 2026, 07:20 UTC1.00under a minute
@flex_link/595329 Jul 2026, 08:33 UTC@flex_cg_vfx/2700 · this entry29 Jul 2026, 08:33 UTC1.00under a minute
@flex_link/595530 Jul 2026, 08:22 UTC@flex_cg_vfx/2702 · this entry30 Jul 2026, 08:22 UTC1.00under a minute
@flex_link/595731 Jul 2026, 08:33 UTC@flex_cg_vfx/2704 · this entry31 Jul 2026, 08:33 UTC1.00under a minute
@flex_link/59633 Aug 2026, 08:33 UTC@flex_cg_vfx/2708 · this entry3 Aug 2026, 08:33 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@flex_link18 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (171)
@secondpilots_cg16 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (160)

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 1 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 20 comparable posts for this entry, running 16 July 2026 to 7 August 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).

Across the whole group of 3, the earliest publisher we hold is @flex_link. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

17,45517,81617,635.57 August 2026 — 17,455 subscribers7 August 2026 — 17,459 subscribers8 August 2026 — 17,468 subscribers9 August 2026 — 17,481 subscribers10 August 2026 — 17,487 subscribers11 August 2026 — 17,499 subscribers12 August 2026 — 17,508 subscribers13 August 2026 — 17,522 subscribers15 August 2026 — 17,539 subscribers16 August 2026 — 17,551 subscribers17 August 2026 — 17,560 subscribers18 August 2026 — 17,561 subscribers19 August 2026 — 17,578 subscribers20 August 2026 — 17,583 subscribers21 August 2026 — 17,602 subscribers23 August 2026 — 17,615 subscribers24 August 2026 — 17,637 subscribers25 August 2026 — 17,639 subscribers26 August 2026 — 17,657 subscribers27 August 2026 — 17,667 subscribers28 August 2026 — 17,670 subscribers29 August 2026 — 17,672 subscribers30 August 2026 — 17,669 subscribers1 September 2026 — 17,671 subscribers2 September 2026 — 17,679 subscribers3 September 2026 — 17,692 subscribers4 September 2026 — 17,707 subscribers7 September 2026 — 17,729 subscribers10 September 2026 — 17,751 subscribers12 September 2026 — 17,771 subscribers14 September 2026 — 17,784 subscribers16 September 2026 — 17,798 subscribers18 September 2026 — 17,816 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net +361. 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 17,401–17,870 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 06:3917,816+18
16 Sept 2026, 02:3717,798+14
14 Sept 2026, 08:5817,784+13
12 Sept 2026, 14:5917,771+20
10 Sept 2026, 11:4017,751+22
7 Sept 2026, 05:5917,729+22
4 Sept 2026, 16:1617,707+15
3 Sept 2026, 01:4417,692+13
2 Sept 2026, 02:5317,679+8
1 Sept 2026, 01:4817,671+2
30 Aug 2026, 22:3417,669-3
29 Aug 2026, 22:5817,672+2
28 Aug 2026, 22:2317,670+3
27 Aug 2026, 21:1317,667+10
26 Aug 2026, 20:3317,657+18
25 Aug 2026, 20:2417,639+2
24 Aug 2026, 20:4717,637+22
23 Aug 2026, 09:4317,615+13
21 Aug 2026, 19:0617,602+19
20 Aug 2026, 16:1617,583first reading

Engagement

47 posts held, back to 16 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 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.04%
avg views ÷ 17,816 subscribers
Avg views / post
1,250
15 posts measured
Reaction rate
0.175%
reactions ÷ views · ER floor
Posts in window
15
of 47 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 2 of 15 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 3 September 2026
Posts held47 (16 July 20263 September 2026)
Views total18,824
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:12 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.

Reaction mix

31 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 45.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1445.2%
👍1032.3%
412.9%
🏆39.68%

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 17 of the 47 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 47 most recent posts we hold, published 16 July 2026 to 3 September 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 47 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @flex_cg_vfx. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 47 most recent posts we hold for this entry, published 16 July 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
4.26%
2 of 47 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
714
over 2 measured posts
Median views · rest
2,330
over 45 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvzcxP5128 August 202628 August 2026
2W5zFGUvYBB12 September 20262 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 47 most recent posts we hold, published 16 July 2026 to 3 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

3 Sept 2026, 08:33 UTC136 viewsread 3 September 2026
Photo

Discovering Houdini RBD 4 … Итак, в этих уроках мы продолжаем изучать все оставшиеся ноды, которые мы не успели изучить в предыдущих трёх частях, и в процессе коснёмся важных концепций, связанных с твёрдыми телами, которые вы должны четко понимать, чтобы иметь возможность решать проблемы, которые возникнут в будущем. А они определенно возникнут, когда вы начнёте воплощать в жизнь свои идеи. 😍 Second Pilots , подп

2 Sept 2026, 09:00 UTC714 viewsread 3 September 2026
Advertisementerid 2W5zFGUvYBBPhoto

CG может быть отличным. А кадр всё равно может выглядеть студенческим. И проблема иногда вообще не в рендере. Слил один из материалов своего курса — чек-лист композиции, по которому разбираю работы студентов. 6 вещей, которые стоит проверить перед тем, как класть кадр в шоурил. Особенно если технически всё уже круто, а ощущение «что-то не то» остаётся. Скачать

2 Sept 2026, 08:33 UTC721 viewsread 3 September 2026
Photo

Udemy – Texturing High-End Fashion and Tactical Assets ... Информация: Что вы узнаете Освойте процесс текстурирования кожаной сумки Dior, включая применение реалистичных материалов кожи, прошивку и потертости, а затем визуализируйте их профессионально. Получите навыки создания реалистичных текстур для тактических ботинок и кепок темно-синего цвета, узнайте, как решать проблемы с УФ-разверткой, проблемы с кривизной/

31 Aug 2026, 08:33 UTC≈1,190 viewsread 3 September 2026
Photo

60 Horns, Antlers, Frills & Horn Sockets IMM + VDM ... Больше высокодетализированных рогов, чем оленей! - Вам больше никогда не придется делать их или искать ближайший набор рогов, чтобы дополнить ваше существо недостающим. 😍 Second Pilots , подписывайся, чтоб не потерять нас 📒🎃

29 Aug 2026, 18:20 UTC≈1,480 viewsread 3 September 2026
Photo

Render People Collection ... .max .fbx .obj ФОРМАТ с включенным TEXом 😍 Second Pilots , подписывайся, чтоб не потерять нас 📒🎃

28 Aug 2026, 11:41 UTC≈1,640 viewsread 3 September 2026
Photo

Blender Basics Geometry Node Brick Walls Workshop … Вы когда-нибудь хотели создавать детализированные и реалистичные кирпичные стены для своих 3D-проектов? Или, возможно, вы хотите освоить Blender и изучить мощные возможности геометрических нод? Если да, то этот мастер-класс идеально подходит для вас! 😍 Second Pilots , подписывайся, чтоб не потерять нас 📒🎃

28 Aug 2026, 09:31 UTC≈1,460 views1 reactionsread 2 September 2026
Advertisementerid 2VtzqvzcxP5Photo

6 сентября пройдёт День открытых дверей Scream School × МШК Если хотите разобраться, какое направление в CG и геймдеве подходит именно вам, приходите знакомится спрограмами, кураторами и самой школой. В течение дня пройдут презентации программ «3D-художник», «Концепт-художник», «Визуальные эффекты / VFX» и «2D-графика: анимация, концепт-арт, комиксы» а также новой подготовительной программы для 3D-художников. Расс

👍1

27 Aug 2026, 08:33 UTC≈1,590 viewsread 3 September 2026
Photo

Title: Maxtree – Plant Models Vol.89 Corona Render 😍 Second Pilots , подписывайся, чтоб не потерять нас 📒🎃

26 Aug 2026, 08:33 UTC≈1,760 viewsread 3 September 2026
Photo

Modelling The Head : In Blender Vol 1 ... Что вы узнаете Узнайте, как перемещаться и управлять интерфейсом Blender 3D. Узнайте, как загружать референсные изображения в Blender. Узнайте, как моделировать голову персонажа для анимации и визуализации продукта. Узнайте, как создавать правильные контуры краев, которые требуются ведущим анимационным студиям. 😍 Second Pilots , подписывайся, чтоб не потерять нас 📒🎃

Showing the 12 most recent of 47 posts we hold for @flex_cg_vfx. 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.

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.

CG 3D
@flex_link · 23,806
Telegram ranks this channel #1 of 60 here — alongside 59 others — read 17 September 2026
SECOND PILOTS | 3D | ANIMATION | Cg | Vfx | Motion | Blender | Houdini Fx | 2D
@secondpilots_cg · 33,290
Telegram ranks this channel #1 of 71 here — alongside 70 others — read 4 September 2026
Polygon
@poly3ds · 35,525
Telegram ranks this channel #2 of 72 here — alongside 71 others — read 2 September 2026
Blender: Free Universe
@BlenderUniverse · 39,635
Telegram ranks this channel #3 of 63 here — alongside 62 others — read 31 August 2026
CG Persia
@CGPERS · 78,573
Telegram ranks this channel #3 of 65 here — alongside 64 others — read 19 August 2026
Blender 3D
@Blend3d · 29,879
Telegram ranks this channel #4 of 81 here — alongside 80 others — read 8 September 2026
Blender Tricks
@blender_tricks · 26,541
Telegram ranks this channel #6 of 78 here — alongside 77 others — read 12 September 2026
3D SHVYREV | Blender
@shvyrev_3d · 30,957
Telegram ranks this channel #7 of 79 here — alongside 78 others — read 6 September 2026
GFX FATHER™
@graphicsfather · 68,602
Telegram ranks this channel #9 of 61 here — alongside 60 others — read 20 August 2026
3D Game Models
@CG_Game_Models · 25,120
Telegram ranks this channel #11 of 62 here — alongside 61 others — read 14 September 2026
CGPeers Archive
@Cgpeers_archive · 50,251
Telegram ranks this channel #12 of 65 here — alongside 64 others — read 25 August 2026
CGPeers
@Cg_peers · 69,631
Telegram ranks this channel #12 of 63 here — alongside 62 others — read 20 August 2026
VideoSmile
@videosmile_ru · 26,937
Telegram ranks this channel #20 of 85 here — alongside 84 others — read 12 September 2026
Unity & Unreal | GameDev
@unity_gamedev_unreal · 32,876
Telegram ranks this channel #22 of 76 here — alongside 75 others — read 4 September 2026
Графика и дизайн | IT
@graphic_and_design · 23,272
Telegram ranks this channel #26 of 82 here — alongside 81 others — read 18 September 2026
MEGA Community
@megacoursenew · 38,608
Telegram ranks this channel #26 of 38 here — alongside 37 others — read 31 August 2026
After Effects Templates
@AETemp · 184,182
Telegram ranks this channel #31 of 77 here — alongside 76 others — read 13 August 2026
ARTBOOKS📚
@theartbooks · 26,578
Telegram ranks this channel #48 of 62 here — alongside 61 others — read 12 September 2026
MotionFX
@MotionFX_Free · 34,005
Telegram ranks this channel #48 of 72 here — alongside 71 others — read 4 September 2026
Gang Files — Файлы
@gangfiles · 22,824
Telegram ranks this channel #49 of 71 here — alongside 70 others — read 19 September 2026
CG Freelance
@cgfreelance · 60,439
Telegram ranks this channel #53 of 86 here — alongside 85 others — read 22 August 2026
Visual Effects
@visual_effects_pack · 30,346
Telegram ranks this channel #54 of 58 here — alongside 57 others — read 7 September 2026
AE Storage
@AEStorage · 86,957
Telegram ranks this channel #55 of 70 here — alongside 69 others — read 18 August 2026
Motion designer hunter
@motionhunter · 27,959
Telegram ranks this channel #61 of 83 here — alongside 82 others — read 10 September 2026

This channel appears in 26 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“3D FLEX” (@flex_cg_vfx), 17,816 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/flex_cg_vfx.

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.