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Telegram profile photo for Lycra Insider: лайкра, велосипеды и новости veter.cc

Channel

Lycra Insider: лайкра, велосипеды и новости veter.cc

@vetercc

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

10,506subscribers

+129 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001559045839
TypeChannel
Username@vetercc
DescriptionЭкипировка для велоспорта, триатлона и бега https://veter.cc По всем вопросам обращайтесь в телеграм-чаты: @vetercycling — поддержка и онлайн-заказы @veterccredoctober — магазин в Москве @veterccspb — магазин в Санкт-Петербурге @vetercustom — кастом-бюро
Created26 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/vetercc

Topic

Sports — 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 56% 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 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@vetercc/3972 · this entry5 Aug 2026, 15:59 UTC@veterrunning/19375 Aug 2026, 15:59 UTC1.00under a minute
@vetercc/3987 · this entry14 Aug 2026, 16:24 UTC@veterrunning/194714 Aug 2026, 16:24 UTC1.00under a minute
@vetercc/3989 · this entry17 Aug 2026, 14:45 UTC@veterrunning/195018 Aug 2026, 09:39 UTC1.0019 hours
@veterrunning/21622 Nov 2026, 11:36 UTC@vetercc/4210 · this entry2 Nov 2026, 12:17 UTC1.0041 minutes
@veterrunning/21643 Nov 2026, 10:13 UTC@vetercc/4220 · this entry3 Nov 2026, 10:13 UTC1.00under a minute
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
@veterrunning5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)

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. 2 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 32 comparable posts for this entry, running 28 July 2026 to 10 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @vetercc — which is this entry. That is a statement about our reading window, not a claim of authorship.

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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

10,24810,80610,5276 August 2026 — 10,377 subscribers6 August 2026 — 10,376 subscribers7 August 2026 — 10,365 subscribers8 August 2026 — 10,359 subscribers10 August 2026 — 10,356 subscribers12 August 2026 — 10,349 subscribers13 August 2026 — 10,347 subscribers14 August 2026 — 10,346 subscribers16 August 2026 — 10,336 subscribers17 August 2026 — 10,340 subscribers19 August 2026 — 10,334 subscribers20 August 2026 — 10,336 subscribers21 August 2026 — 10,326 subscribers23 August 2026 — 10,310 subscribers24 August 2026 — 10,302 subscribers25 August 2026 — 10,306 subscribers27 August 2026 — 10,302 subscribers27 August 2026 — 10,301 subscribers28 August 2026 — 10,304 subscribers30 August 2026 — 10,295 subscribers31 August 2026 — 10,297 subscribers1 September 2026 — 10,295 subscribers2 September 2026 — 10,287 subscribers3 September 2026 — 10,288 subscribers5 September 2026 — 10,299 subscribers8 September 2026 — 10,303 subscribers11 September 2026 — 10,298 subscribers15 September 2026 — 10,299 subscribers16 September 2026 — 10,301 subscribers19 September 2026 — 10,308 subscribers26 September 2026 — 10,304 subscribers4 October 2026 — 10,248 subscribers9 October 2026 — 10,262 subscribers13 October 2026 — 10,775 subscribers14 October 2026 — 10,786 subscribers15 October 2026 — 10,784 subscribers16 October 2026 — 10,806 subscribers17 October 2026 — 10,793 subscribers18 October 2026 — 10,780 subscribers19 October 2026 — 10,729 subscribers20 October 2026 — 10,710 subscribers21 October 2026 — 10,681 subscribers22 October 2026 — 10,650 subscribers23 October 2026 — 10,636 subscribers25 October 2026 — 10,629 subscribers26 October 2026 — 10,621 subscribers27 October 2026 — 10,601 subscribers28 October 2026 — 10,587 subscribers29 October 2026 — 10,571 subscribers30 October 2026 — 10,562 subscribers31 October 2026 — 10,551 subscribers1 November 2026 — 10,549 subscribers2 November 2026 — 10,546 subscribers3 November 2026 — 10,534 subscribers4 November 2026 — 10,527 subscribers5 November 2026 — 10,531 subscribers6 November 2026 — 10,527 subscribers7 November 2026 — 10,524 subscribers9 November 2026 — 10,521 subscribers10 November 2026 — 10,506 subscribers10,5066 August 202610 November 2026
60 measurements spanning 96 days, net +129. 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 10,164–10,890 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
10 Nov 2026, 16:5410,506-15
9 Nov 2026, 04:1710,521-3
7 Nov 2026, 21:0610,524-3
6 Nov 2026, 21:2810,527-4
5 Nov 2026, 18:5910,531+4
4 Nov 2026, 17:4910,527-7
3 Nov 2026, 17:2610,534-12
2 Nov 2026, 15:5710,546-3
1 Nov 2026, 14:1010,549-2
31 Oct 2026, 16:5010,551-11
30 Oct 2026, 14:3810,562-9
29 Oct 2026, 17:0610,571-16
28 Oct 2026, 16:5610,587-14
27 Oct 2026, 20:0010,601-20
26 Oct 2026, 18:5710,621-8
25 Oct 2026, 20:4610,629-7
23 Oct 2026, 21:3810,636-14
22 Oct 2026, 22:0010,650-31
21 Oct 2026, 22:4610,681-29
20 Oct 2026, 15:3910,710first reading

Engagement

39 posts held, back to 28 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
26.5%
avg views ÷ 10,506 subscribers
Avg views / post
2,780
15 posts measured
Reaction rate
1.82%
reactions ÷ views · ER floor
Posts in window
16
of 39 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held39 (28 July 2026 – 11 November 2026)
Views total41,700
Reactions total759
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 22:24 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
≈3,780
Videos
≈173
Links
≈859

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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
2m 11s
Average length
19s

Measured directly from 7 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

2,212 reactions across 38 posts, in 12 distinct kinds. The most used accounts for 48.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,07948.8%
🔥56325.5%
👍1255.65%
⚡1054.75%
😁954.29%
😍793.57%
💘512.31%
🏆462.08%
💯231.04%
🤩210.949%
👏130.588%
💔120.542%

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 38 of the 39 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 2,212 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 28 July 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.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
5
of 38 we hold a reading for · 13%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vetercc. 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 39 most recent posts we hold for this entry, published 28 July 2026 to 11 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 16 posts held from the last 30 days (12.5%) 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).

11 Nov 2026, 15:43 UTC≈1,240 views19 reactionsread 11 November 2026
Photo

🔔️️️️️️BLACK FRIDAY: все наши линейки со скидками до 55% В Чёрной пятнице участвуют все три линейки нашей экипировки. Чтобы быстрее найти нужные продукты под конкретную задачу или стиль катания. ⭐️ ЭВОЛВ (EVOLVE) Самая широкая линейка, основа велогардероба, в которой одинаково удобно и на коферайде, и на тренировке. Все продукты в ней универсальны, а разнообразие расцветок позволяет комбинировать их между собой и с…

❤10👍5🔥4

10 Nov 2026, 14:29 UTC≈1,810 views35 reactionsread 11 November 2026
Photo

🌀️️️️️️BLACK FRIDAY: топ-7 продуктов со скидками от бренд-менеджера Тони Артамоновой В этом году в нашей Чёрной пятнице участвует максимальное количество экипировки. Чтобы помочь вам с выбором, мы попросили бренд-менеджера велоспорта и триатлона Тоню Артамонову составить топ своих любимых продуктов и рассказать, почему они ей так нравятся. Листайте карточки и ищите продукты в нашей подборке экипировки со скидками: …

❤21🔥9👍4😍1

9 Nov 2026, 12:38 UTC≈2,140 views28 reactionsread 11 November 2026
Photo

📐BLACK FRIDAY: сортировка по размерам В ассортименте Чёрной пятницы легко затеряться. Чтобы вам было проще найти свою экипировку, мы собрали подборки по размерам. 💁‍♀️ Женская экипировка: Размер XXS Размер XS Размер S Размер M Размер L Размер XL Размер XXL 💁‍♂️ Мужская экипировка: Размер XS Размер S Размер M Размер L Размер XL Размер XXL Размер XXXL 🧦 Аксессуары: Все размеры Все продукты со скидками ищите по ссы…

❤16🔥6😁4⚡1👍1

8 Nov 2026, 15:35 UTC≈2,280 views116 reactions1 Starread 11 November 2026
Photo

И ещё немного фотографий с победной гонки Ангелины Новолодской ❤️

❤78🔥23🏆15

8 Nov 2026, 13:15 UTC≈5,850 views163 reactions2 Starsread 11 November 2026
Photo

Прямое включение с Юношеских Олимпийских Игр в Дакаре Ангелина Новолодская - золото! Степан Бортник - серебро! Поздравляем ребят. Рады быть частью этого результата и болагодарим ФВСР за доверие 🙌🏼

❤84👍31🔥30🏆11👏3🤩3⚡1

6 Nov 2026, 13:57 UTC≈2,620 views27 reactionsread 11 November 2026
Photo

🚀Несколько топовых продуктов, которые мы сегодня добавили в нашу Чёрную пятницу. Все продукты со скидками ищите по ссылке: veter.cc/collection/black-friday-cycling

❤14🔥7🤩5👍1

6 Nov 2026, 09:46 UTC≈2,650 views36 reactionsread 10 November 2026
Photo

⭐️ BLACK FRIDAY: распродажа стала ещё масштабнее Сегодня мы отправили в Чёрную пятницу всё, что только могли. В подборке прибавилось хитов, а ещё появились актуальная утеплённая экипировка и аксессуары — можно обновить гардероб и сразу протестировать его, пока погода позволяет выезжать на улицу. Самое важное о главной распродаже велосипедной экипировки: • Скидки до 55% на экипировку и аксессуары • Действует до 13 н…

🔥21❤10⚡3👍2

5 Nov 2026, 13:08 UTCviews —

Lycra Insider: лайкра, велосипеды и новости veter.cc pinned a photo

5 Nov 2026, 07:56 UTC≈5,450 views39 reactionsread 10 November 2026
Photo

🚀 BLACK FRIDAY: началась главная распродажа велосипедной экипировки Наша Чёрная пятница официально стартовала! В этом году мы добавили в неё максимальное количество продуктов со скидками и сегодня рассказываем о большой распродаже подробнее. 💯СКИДКИ • До 35% на джерси и жилетки • До 40% на велотрусы • До 40% на аксессуары • До 50% на продукты прошлогодних коллекций 🕗ДАТЫ • 5 – 13 ноября 🌐ГДЕ КУПИТЬ • Онлайн и в н…

❤23🔥13👍3

4 Nov 2026, 14:16 UTC≈2,400 views77 reactionsread 8 November 2026
Photo

🌪️️️️️️BLACK FRIDAY: дарим призы на 300 000 рублей за ваши покупки Уже завтра стартует наша традиционная Чёрная пятница‎, которая не обойдется без конкурса среди покупателей. Мы приготовили для вас 20 призов на сумму 300 000 рублей, среди которых: • Измеритель мощности Magene P715K • Шлем Kask Protone • Велостанок Magene Т110 • Много других подарков В этом году у вас будет возможность увеличить свои шансы на победу…

😍36❤25🔥14💘2

3 Nov 2026, 14:50 UTC≈2,520 views66 reactionsread 6 November 2026
Video

👀BLACK FRIDAY: большая распродажа велосипедной экипировки В этом году наша традиционная Чёрная пятница‎ стартует 5 ноября: вас ждут скидки до 50% на ваши любимые продукты. До встречи 5 ноября на veter.cc и в наших магазинах в Москве и Санкт-Петербурге!

❤31👍18⚡9🔥8

3 Nov 2026, 10:13 UTC≈2,330 views26 reactionsread 6 November 2026

⚡️️️️️️️Открытая экскурсия по производству VTR отменяется Друзья, в наши планы вмешались некоторые непредвиденные обстоятельства, поэтому мы вынуждены отменить нашу экскурсию по производству, которая должна была состояться сегодня вечером, 3 ноября. Не расстраивайтесь, мы обязательно снова проведем такой ивент и покажем, как всё устроено на фабрике в Москве, где мы производим наши продукты. Вся информация появится…

😁14🔥10❤2

Showing the 12 most recent of 39 posts we hold for @vetercc. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@vetercc edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
20 August 2026
Most recent edit
20 August 2026

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 11 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.

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.

Спортмастер PRO
@sportmaster_pro · 73,291
Telegram ranks this channel #33 of 56 here — alongside 55 others — read 19 August 2026
Беговое сообщество
@runc_run · 61,203
Telegram ranks this channel #68 of 77 here — alongside 76 others — read 22 August 2026

This channel appears in 2 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.

“Lycra Insider: лайкра, велосипеды и новости veter.cc” (@vetercc), 10,506 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/vetercc.

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.