Telegram RegisterThe public register of Telegram

Channel

Хлеборобот

@hleborobot

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

1,963subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001238288097
TypeChannel
Username@hleborobot
Created13 April 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/hleborobot

Topic

Other / unclassifiable — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 59% 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 1 other registered channel. 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
@hleborobot/8575 · this entry22 Jul 2026, 08:25 UTC@agrozal/117722 Jul 2026, 08:25 UTC1.00under a minute
@agrozal/118123 Jul 2026, 06:48 UTC@hleborobot/8579 · this entry23 Jul 2026, 06:49 UTC1.002 minutes
@hleborobot/8581 · this entry27 Jul 2026, 06:48 UTC@agrozal/118327 Jul 2026, 07:50 UTC1.0062 minutes
@agrozal/118529 Jul 2026, 06:05 UTC@hleborobot/8583 · this entry29 Jul 2026, 06:05 UTC1.00under a minute
@hleborobot/8585 · this entry30 Jul 2026, 08:49 UTC@agrozal/118730 Jul 2026, 09:13 UTC1.0023 minutes
@agrozal/11893 Aug 2026, 02:10 UTC@hleborobot/8587 · this entry3 Aug 2026, 02:40 UTC1.0030 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@agrozal13 (8/8 hand-verifiable sample passed)1.00under a minute@agrozal (76)

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. 1 of the 7 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 13 comparable posts for this entry, running 22 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 2, the earliest publisher we hold is @hleborobot — 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 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 1 other registered channel, 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

1,9631,9641,963.57 August 2026 — 1,964 subscribers7 August 2026 — 1,964 subscribers10 August 2026 — 1,963 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -1. 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 1,963–1,964 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 12:141,963-1
7 Aug 2026, 07:001,964no change
7 Aug 2026, 06:551,964first reading

Engagement

13 posts held, back to 22 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.11%
avg views ÷ 1,963 subscribers
Avg views / post
61.0
13 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
13
of 13 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 7 August 2026
Posts held13 (22 July 20267 August 2026)
Views total793
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:11 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

Video runtime
1m 16s
Average length
8s

Measured directly from 9 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.

Recent posts

7 Aug 2026, 11:10 UTC23 viewsread 7 August 2026
Video

🌱 Болезни семян и снижение всхожести: почему важна дополнительная очистка? Даже качественная партия семян может содержать повреждённые, недоразвитые или поражённые экземпляры. Они могут отличаться по цвету, форме и другим внешним признакам и при этом снижать общую однородность посевного материала. Такие семена способны хуже прорастать, формировать слабые всходы и влиять на результат посева. 🤖 Фотосепаратор «СиСорт

7 Aug 2026, 10:13 UTC32 viewsread 7 August 2026
Video

🌾 Как избежать возврата партии зерна из-за дефектов и примесей? Даже небольшое количество дефектных зёрен, посторонних примесей или сырья неподходящего цвета может стать причиной претензии со стороны покупателя. Камни, металл, стекло, повреждённые семена и другие включения влияют не только на внешний вид продукции. Они могут ухудшить качество готового продукта, повредить оборудование клиента и привести к возврату в

5 Aug 2026, 09:32 UTC44 viewsread 7 August 2026
Video

☕ Почему кофейное оборудование выходит из строя из-за примесей? В партии кофе могут встречаться камни, кусочки металла, стекла и другие посторонние включения. Попадая в кофемолку или производственную линию, они создают повышенную нагрузку на механизмы и могут повредить жернова, подшипники и другие рабочие узлы. Последствия для производства: 🔹 остановка оборудования 🔹 дорогостоящий ремонт 🔹 простой линии и срыв сро

4 Aug 2026, 03:28 UTC60 viewsread 7 August 2026
Photo

⚙️ «СиСорт» подтвердил спрос на модернизацию оборудования Компания «СиСорт» подтвердила на Всероссийском дне поля востребованность модернизации уже существующего оборудования. Коммерческий директор «СиСорт» Сергей Степанов рассказал, что в оборудование компании закладывалась возможность доустановки секций и модернизации до последней версии. 🔧 «Есть конкретные договорённости с некоторыми переработчиками провести апг

3 Aug 2026, 02:40 UTC62 viewsread 7 August 2026
Photo

🤖 Семеноводы заинтересовались новым фотосепаратором «СиСорт» серии «Дарвин» 🌾 Всероссийский день поля, прошедший в Алтайском крае, стал для компании «СиСорт» главной презентационной площадкой года. Производитель фотосепараторов представил на ней новую разработку — фотосепаратор серии «Дарвин» с системой технического зрения на основе искусственного интеллекта с глубоким машинным обучением. ✨ Всего алтайские компании

31 Jul 2026, 11:00 UTC66 viewsread 7 August 2026
Video

🌱 Почему очистка перед посевом важна для равномерности всходов? Неоднородный посевной материал отличается по размеру, массе и качеству. Щуплые, повреждённые и недоразвитые семена могут прорастать позже, давать ослабленные растения или не всходить вовсе. Предпосевная очистка помогает: 🔹 удалить повреждённые и неполноценные семена 🔹 отделить семена сорных растений и примеси 🔹 повысить однородность посевного материал

30 Jul 2026, 08:49 UTC66 viewsread 7 August 2026
Video

🌾 Спорынья во ржи и пшенице: чем опасна в партии? Спорынья — грибное заболевание злаков. Вместо нормального зерна в колосе образуются тёмные продолговатые склероции, содержащие токсичные алкалоиды. Их наличие в партии может привести к: 🔹 снижению качества и стоимости зерна 🔹 несоответствию требованиям переработчиков 🔹 ограничениям при использовании зерна на пищевые и кормовые цели 🔹 риску токсического воздействия

29 Jul 2026, 06:05 UTC71 viewsread 7 August 2026
Photo

🏭 Участники форума «Уникальный Алтай – 2026» посетили производственную площадку компании «СиСорт» 📍 В рамках юбилейного X Межрегионального форума «Уникальный Алтай – 2026», проходившего в Алтайском крае с 22 по 26 июля, состоялась экскурсия на производственную площадку компании «СиСорт». Мероприятие объединило представителей органов власти, отраслевых экспертов и руководителей реального сектора экономики из разных р

28 Jul 2026, 10:34 UTC56 viewsread 7 August 2026
Video

🤖 Фотосепаратор Дарвин: чему именно обучается искусственный интеллект? Чтобы точно сортировать сложное сырьё, искусственному интеллекту недостаточно знать только цвет или размер частицы. Дарвин обучается распознавать множество признаков: 🔹 форму и структуру объекта 🔹 оттенки и особенности поверхности 🔹 различия между качественным и дефектным сырьём 🔹 признаки примесей и повреждений 🔹 сложные комбинации характерист

27 Jul 2026, 06:48 UTC72 viewsread 7 August 2026
Video

🤖 Почему ИИ особенно важен при сортировке сложного сырья? Не всё сырьё можно качественно отсортировать по одному признаку — например, только по цвету или размеру. В сложном сырье дефекты могут быть: 🔹 практически незаметными визуально 🔹 похожими на качественный продукт 🔹 разными по форме, оттенку и структуре 🔹 редкими, но критичными для качества всей партии Именно здесь особенно важен искусственный интеллект. ИИ

24 Jul 2026, 07:50 UTC80 viewsread 7 August 2026
Video

⚙️ Когда предприятию пора модернизировать сортировочную линию? Обновление оборудования стоит рассмотреть, если: ✔ растёт объём производства ✔ увеличивается количество брака ✔ ручная сортировка перестаёт справляться ✔ качество продукции нестабильно ✔ покупатели предъявляют более высокие требования ✔ предприятие планирует выход на новые рынки Современный фотосепаратор помогает повысить точность очистки, сократить по

23 Jul 2026, 06:49 UTC86 viewsread 7 August 2026
Video

♻️ Какие виды пластика можно сортировать на фотосепараторе? Оборудование «СиСорт» подходит для сортировки различных видов пластикового сырья: 🔹 ПЭТ 🔹 полиэтилена 🔹 полипропилена 🔹 пластиковых хлопьев 🔹 гранул Фотосепаратор разделяет материал по цвету и внешним признакам, удаляет посторонние включения и помогает получать чистую, однородную фракцию для дальнейшей переработки. Подписывайтесь — рассказываем о совреме

Showing the 12 most recent of 13 posts we hold for @hleborobot. 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.

Citation-graph rank

Citation-graph rank — 39,572 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

Mentions

Named by 2 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.

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

“Хлеборобот” (@hleborobot), 1,963 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/hleborobot.

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.