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Channel

Devs try AI

@devstryai

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

327subscribers

-7 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002131972119
TypeChannel
Username@devstryai
CreatedBetween 1 November 2023 and 4 March 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live9 November 2026
Measurements held9
Confirmed unchanged3 times, most recently 9 November 2026
On Telegramt.me/devstryai

Topic

Job listings — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ctobuddy/1472 Apr 2024, 09:47 UTC@devstryai/53 · this entry2 Apr 2024, 09:52 UTC0.995 minutes
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
@ctobuddy6 (6/6 hand-verifiable sample passed)0.992 minuteseven

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 4 March 2024 to 26 September 2024. 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 @devstryai — 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

3263343308 August 2026 — 334 subscribers8 August 2026 — 334 subscribers16 August 2026 — 333 subscribers1 September 2026 — 331 subscribers9 September 2026 — 330 subscribers1 October 2026 — 328 subscribers12 October 2026 — 327 subscribers20 October 2026 — 326 subscribers27 October 2026 — 327 subscribers3278 August 202627 October 2026
9 measurements spanning 80 days, net -7. 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 325–335 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Oct 2026, 09:38327+1
20 Oct 2026, 08:28326-1
12 Oct 2026, 15:56327-1
1 Oct 2026, 22:00328-2
9 Sept 2026, 22:17330-1
1 Sept 2026, 07:27331-2
16 Aug 2026, 06:44333-1
8 Aug 2026, 20:52334no change
8 Aug 2026, 12:04334first reading

Engagement

20 posts held, back to 4 March 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 26 September 2024. An engagement rate over an empty window would be a number about nothing.

Reaction mix

187 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 68.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥12868.4%
👍5227.8%
❤31.60%
❤‍🔥21.07%
🍾10.535%
😁10.535%

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 20 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 187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 4 March 2024 to 26 September 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

26 Sept 2024, 22:17 UTC≈2,470 views0 reactionsread 8 August 2026

🚀 Founding Engineer Opportunity - AI Startup 🚀 We’re a New York-based AI startup developing innovative voice-to-action solutions, and we're looking for a Founding Engineer to be part of our mission! 🔥 Why You Should Join Us: - Equity opportunity in an exciting AI startup - Several investors are already interested - Remote work with relocation assistance to the US available - Opportunity to lead the tech and help u…

9 Jul 2024, 23:00 UTC819 views0 reactionsread 8 August 2026
Forwarded from @ctobuddy

🔫 Ищу AI Дизайнера на 5 проектов! 🚀 Join OneCraft.AI! We're looking for an AI-Powered Creative Designer on a part-time project basis. If you love AI, are a Figma whiz, and can work at lightning speed, we want you! Work remotely, be part of a dynamic team, and push boundaries with us. 🌟 Key Responsibilities: Create Brand Identities Design Social Media Kits Build Websites & Landing Pages Craft Design Templates Gener…

30 Apr 2024, 13:17 UTC≈1,340 views2 reactionsread 8 August 2026

#вакансия Делаем Datastep (ML products хаб для энтерпрайзов) — гоу билдить с нами 🤘 Ищу ребят совместно разрабатывать ML / DL решения для российских энтерпрайзов. 👀 Дико круто если ты хочешь расти в бизнес партнера / tech-энтрепренера / тимлида Делаем в Datastep что-то типо стартап хаба для застройщиков: стараемся заменить как можно больше людей решаем разные задачи цифровизации при помощи машинного обучения, транс…

❤2

19 Apr 2024, 09:27 UTC≈1,130 views11 reactionsread 8 August 2026
Photo

📝 Use case: Automated Proposal Generation Tailored for Each Client Давно у нас не было постов и на то было две причины. Во-первых, мы начали общаться с потенциальными клиентами и практически сразу уперлись в ограничение, что написание кастомных коммерческих предложений под каждого клиента занимает несколько часов, и это легко может превратиться в фулл-тайм работу. А до этого мне показалось интересным протестирвоат…

🔥10👍1

2 Apr 2024, 09:52 UTC≈1,020 views7 reactionsread 8 August 2026
Photo

👍 LLM Агенты в массы На днях во второй раз наткнулся на утилиту n8n - аналог утилит автоматизации типа Zapier, Make и тд. Которые дают визуальный инструментарий для программирования пайплайнов типа того, что на картинке. Я давно пробовал этот сервис, мне понравилось, что он больше ориентирован на программистов, чем на среднего пользования без навыков программирования. Там есть и кастомные блоки с JS кодом, и вызовы…

🔥5👍2

27 Mar 2024, 12:20 UTC≈1,450 views16 reactionsread 8 August 2026

Подробно описали кейс, как мы обучили психолога пользоваться chatGTP, чтобы писать статьи на VC. Кратко о кейсе: наш знакомый, психолог, консультирует компании и их сотрудников. Ему нужно писать статьи о своей работе и он ненавидит это делать. За два часа консультации мы составили промпт почти на 20 000 символов, которые генерирует пост буквально за несколько минут. С сохранением Tone of voice автора, качественным,…

🔥15👍1

26 Mar 2024, 13:37 UTC532 viewsread 8 August 2026
Forwarded from @ctobuddy

#вакансия Помогите найти человека Backend Engineer 💸 cash + option (6000$+) ⌚️ full-time 🌏 remote/hybrid 🙋‍♂️ Who they are: An aspiring team building novel crypto investment instruments. The founders are tech universities alumni with broad cross-product experience in TradFi (structured products & financial engineering) and Tech (Revolut & Yandex) under their belt. They are backed by good names and have an ambiti…

25 Mar 2024, 19:12 UTC663 views31 reactionsread 8 August 2026
Photo

📝 Use case: Write content as Persona follow Tone of Voice Забавно, но я вторую неделю общаюсь с руководителями/фаундерами, которые заинтересованы во внедрении ИИ в свою команду, и пока абсолютное большинство заинтересовано во внедрении ИИ в маркетинг и продажи. В связи с этим у нас в базе знаний появился первый не разработческий юзкейс - написание контента по заметкам с помощью LLM. Описание можно найти тут Если …

🔥29❤1😁1

19 Mar 2024, 19:14 UTC≈1,040 views14 reactionsread 8 August 2026

📝 Use case: Write Meeting Notes Like PMP Контекст - самый ценный ресурс для решения задач с помощью LLM. Если у вас не получается решить какую то задачу - это значит, что вы не дали модели нужный контекст. Контекст - это не только описание функции, которую вы хотите чтоб AI за вас написал, это и контекст задачи в которой вы работаете, он в свою очередь является частью контекста какого-то эпика и смежных задач, котор…

🔥11👍3

15 Mar 2024, 13:39 UTC737 views2 reactionsread 8 August 2026

🤵 Eсть запрос на спикера по безопасности ИИ Конференция для энтерпрайзов и застройщиков: https://digitaldeveloper.ru/meetup_ai_proptech Ищу спикера, который сможет сделать секцию на тему формата «безопасность в ИИ, обзор для новичков» На паре кейсов объяснить, какие риски для безопасности представляет ИИ — и как можно хеджировать эти риски Конференция будет 28 марта Выступление на 15-20 минут + ответы на вопросы…

👍2

15 Mar 2024, 08:49 UTC946 views21 reactionsread 8 August 2026

Изучил подробно пресс-релиз Devin Просмотрел покадрово все их видео с юзкейсами, перешел по всем ссылочкам из видео. Что можно сказать? Работы хватит на всех! Но на ближайшие пол года 😁 До давайте разбираться. Выглядит впечатляюще, не хочется принижать чужую работу, она великолепна. Ребята доказали на практике, что ИИ может помогать решать любые задачи в программировании. Мне частно приходится сталкиваться с возраж…

🔥17👍3🍾1

14 Mar 2024, 05:46 UTC583 viewsread 8 August 2026

Робот с мозгами ChatGPT Выглядит впечатляюще и одновременно пугающе, но не speach-to-speach часть и reasoning, сколько возможности робота манипулировать предметами. https://www.youtube.com/watch?v=Sq1QZB5baNw

Showing the 12 most recent of 20 posts we hold for @devstryai. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“Devs try AI” (@devstryai), 327 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/devstryai.

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.