Telegram RegisterThe public register of Telegram

Channel

Russian startups and inventions. Guide for Investor.

@startupcollection

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

1,224subscribers

+2 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-1001215834470
TypeChannel
Username@startupcollection
Created9 September 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/startupcollection

Topic

Marketing & affiliate — 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 43% 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. They sit inside a group of 4 channels that share the same post bodies with each other. 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
@startupcollection/4504 · this entry1 Aug 2026, 10:02 UTC@bestofprojects/26813 Aug 2026, 06:05 UTC1.0044 hours
@startupcollection/4508 · this entry3 Aug 2026, 09:59 UTC@bestofprojects/26823 Aug 2026, 10:02 UTC1.004 minutes
@startupcollection/4507 · this entry3 Aug 2026, 08:25 UTC@bestofprojects/26833 Aug 2026, 10:20 UTC1.001.9 hours
@startupcollection/4513 · this entry4 Aug 2026, 09:40 UTC@bestofprojects/26874 Aug 2026, 10:33 UTC1.0053 minutes
@startupcollection/4511 · this entry4 Aug 2026, 06:36 UTC@bestofprojects/26884 Aug 2026, 16:01 UTC1.009.4 hours
@startupcollection/4516 · this entry5 Aug 2026, 14:32 UTC@bestofprojects/26905 Aug 2026, 15:03 UTC1.0031 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@bestofprojects10 (8/8 hand-verifiable sample passed)1.0062 minutesthis entry (100)

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 20 comparable posts for this entry, running 30 July 2026 to 6 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 4, the earliest publisher we hold is @startupcollection — which is this entry. 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 3 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

1,2221,2241,2237 August 2026 — 1,222 subscribers7 August 2026 — 1,222 subscribers10 August 2026 — 1,224 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net +2. 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 1,222–1,224 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 09:301,224+2
7 Aug 2026, 07:171,222no change
7 Aug 2026, 00:461,222first reading

Engagement

20 posts held, back to 30 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.81%
avg views ÷ 1,224 subscribers
Avg views / post
22.1
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
of 20 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 6 August 2026
Posts held20 (30 July 20266 August 2026)
Views total442
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 00:46 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.

Recent posts

6 Aug 2026, 16:00 UTC7 viewsread 7 August 2026
Photo

🚀 Приглашаем проекты и спикеров на тематические питч-сессии в рамках Инвестиционных бизнес-завтраков: 📌 12 августа — Инвестиции в недвижимость 📌 26 августа — Инвестиции в туристическую инфраструктуру 📌 2 сентября — Инвестиции в ИИ-проекты и робототехнику Что получают проекты, выступая на завтраках: — Прямой контакт с 40-50 участниками завтрака. — Рассылка подготовленных проектов нашим партнерам: частным инвестора

6 Aug 2026, 13:19 UTC11 viewsread 7 August 2026
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💥💥💥💥 Приглашаем на ближайшие мероприятия Клуба инвестиционного нетворкинга: 🔴 Август, по мере формирования группы "Инвестиционный запуск". Авторский онлайн-интенсив Сергея Ореханова для проектов, привлекающих инвестиции 🔴 12 августа, 10:00, Москва 6-я мини-конференция из серии «Сделка». Инвестиции в недвижимость 🔴 19 августа, 10:00, Москва Инвестиционный бизнес-завтрак Клуба инвестиционного нетворкинга 🔴 26 авгус

5 Aug 2026, 15:46 UTC24 viewsread 7 August 2026
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🚀 Приглашаем проекты и спикеров на тематические питч-сессии в рамках Инвестиционных бизнес-завтраков: 📌 12 августа — Инвестиции в недвижимость 📌 26 августа — Инвестиции в туристическую инфраструктуру 📌 2 сентября — Инвестиции в ИИ-проекты и робототехнику Что получают проекты, выступая на завтраках: — Прямой контакт с 40-50 участниками завтрака. — Рассылка подготовленных проектов нашим партнерам: частным инвестора

5 Aug 2026, 14:32 UTC22 viewsread 7 August 2026
Video

🚀 Какие проекты представили на инвестиционном бизнес-завтраке 5 августа Провели очередной инвестиционный бизнес-завтрак и посмотрели проекты, которые сегодня ищут возможности для роста и масштабирования. Каждый питч стал поводом для живого обсуждения, вопросов и обмена опытом. 👇 🔹 ArmadaDetal. Экосистема обслуживания спецтехники Проект развивает комплексное обслуживание владельцев спецтехники: поставку запчастей, с

4 Aug 2026, 15:34 UTC26 viewsread 7 August 2026
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📣 Встречаемся завтра — Инвестиционный бизнес-завтрак Клуба инвестиционного нетворкинга Основные темы: 1️⃣ Инвестиционные платформы: живой обзор и практические сценарии. Демонстрация интерфейсов, разбор кейсов, алгоритмы работы для фаундеров и инвесторов. 2️⃣ Меры государственной поддержки бизнеса. Оценка НМА. Сколково. Применение налоговых льгот Сколково, МИК, ОЭЗ; Льготный лизинг, факторинг, одобрение лимитов на

4 Aug 2026, 13:37 UTC23 viewsread 7 August 2026
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🚀 Приглашаем проекты и спикеров на тематические питч-сессии в рамках Инвестиционных бизнес-завтраков: 📌 5 августа — Инвестиционные платформы 📌 12 августа — Инвестиции в недвижимость 📌 26 августа — Меры господдержки: от моральных до миллиардных 📌 2 сентября — Инвестиции в ИИ-проекты и робототехнику Что получают проекты, выступая на завтраках: — Прямой контакт с 40-50 участниками завтрака. — Рассылка подготовленны

4 Aug 2026, 09:40 UTC20 viewsread 7 August 2026
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🔥 Инвестиционные платформы, льготы от Сколково, господдержка и питч-сессия проектов — завтра на Инвестиционном завтраке Среди спикеров: 👤 Тот, кто объединяет инвестиционные платформы, финтех и искусственный интеллект в единую экосистему — расскажет, как AI уже меняет рынок краудлендинга и инвестиционных платформ, какие процессы можно автоматизировать с помощью искусственного интеллекта, как технологии помогают сниж

4 Aug 2026, 08:29 UTC15 viewsread 7 August 2026
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💥💥💥💥 Приглашаем на ближайшие мероприятия Клуба инвестиционного нетворкинга: 📌 Август, по мере формирования группы "Инвестиционный запуск". Авторский онлайн-интенсив Сергея Ореханова для проектов, привлекающих инвестиции 📌 5 августа, 10:00, Москва Инвестиционные платформы. Меры государственной поддержки бизнеса. Инвестиционный бизнес-завтрак Клуба инвестиционного нетворкинга 📌 12 августа, 10:00, Москва 6-я мини-кон

4 Aug 2026, 06:36 UTC15 viewsread 7 August 2026
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⌛️ Встречаемся завтра — Инвестиционный бизнес-завтрак Клуба инвестиционного нетворкинга Основные темы: 1️⃣ Инвестиционные платформы: живой обзор и практические сценарии. Демонстрация интерфейсов, разбор кейсов, алгоритмы работы для фаундеров и инвесторов. 2️⃣ Меры государственной поддержки бизнеса. Оценка НМА. Сколково. Применение налоговых льгот Сколково, МИК, ОЭЗ; Льготный лизинг, факторинг, одобрение лимитов на

3 Aug 2026, 16:20 UTC22 viewsread 7 August 2026
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🚀 «Меры государственной поддержки бизнеса. Оценка НМА. Сколково» — новая тема Инвестиционного бизнес-завтрака 5 августа Как использовать государственные инструменты поддержки для развития бизнеса и привлечения финансирования? На бизнес-завтраке разберем: ▪️ налоговые льготы Сколково, МИК и ОЭЗ; ▪️ льготный лизинг и факторинг; ▪️ банковские гарантии и механизмы их получения; ▪️ меры государственной поддержки для биз

3 Aug 2026, 14:16 UTC20 viewsread 7 August 2026
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"Инвестиционные платформы: живой обзор и практические сценарии". 🟠 демонстрация интерфейсов 🟠 разбор кейсов 🟠 алгоритмы работы для фаундеров и инвесторов 📍 5 августа, Москва | Инвестиционный бизнес-завтрак Клуба инвестиционного нетворкинга Среди спикеров: ▪️ Баев Дмитрий Основатель инвестиционной платформы BBKinvest (краудлендинг, займы под залог) с ИИ-сервисами. В контуре платформы внедрили ИИ-помощника по подго

3 Aug 2026, 09:59 UTC26 viewsread 7 August 2026
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#СпикерыЗавтрака5августа 🤝 Представляем спикеров Инвестиционного бизнес-завтрака 5 августа 👤 Дмитрий Баев Основатель BBK-IT и инвестиционной платформы BBKinvest. Эксперт в области финтеха, кредитования и внедрения искусственного интеллекта. Более 15 лет опыта в банковской сфере и финансовом бизнесе. За время своей карьеры Дмитрий прошел путь от специалиста кредитного отдела банка до владельца собственной компан

Showing the 12 most recent of 20 posts we hold for @startupcollection. 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 — 918,840 of 1,160,990entries 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

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.

“Russian startups and inventions. Guide for Investor.” (@startupcollection), 1,224 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/startupcollection.

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.