SYNTX FAMILY - канал для тех, кто строит будущее с нейросетями. 🚀
Сайт: https://syntx.ai/
Чат-бот: @syntxaibot
Здесь не просто пишут про нейросети - здесь их применяют. ⚡️
Мастер-классы · Гайды · Промпты · Кейсы · Инсайды
Created
Between 1 November 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
9 measurements spanning 6 days, net -625. 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 327,023–327,839 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 11:08
327,117
-36
11 Aug 2026, 07:52
327,153
-141
10 Aug 2026, 04:43
327,294
-109
9 Aug 2026, 04:11
327,403
-64
8 Aug 2026, 04:09
327,467
-130
7 Aug 2026, 03:30
327,597
-148
6 Aug 2026, 06:31
327,745
+3
6 Aug 2026, 02:15
327,742
no change
6 Aug 2026, 02:08
327,742
first reading
Engagement
19 posts held, back to 4 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.38%
avg views ÷ 327,117 subscribers
Avg views / post
14,300
19 posts measured
Reaction rate
1.66%
reactions ÷ views · ER floor
Posts in window
19
of 19 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
19 (4 August 2026 – 12 August 2026)
Views total
271,970
Reactions total
4,512
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:49 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
≈3,740
Videos
≈870
Links
≈1,040
Lifetime counters from Telegram’s own channel header, read 12 August 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
3m 30s
Average length
26s
Measured directly from 8 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
4,268 reactions across 18 posts, in 25 distinct kinds. The most used accounts for 49.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
2,105
49.3%
❤
1,143
26.8%
❤🔥
453
10.6%
⚡
94
2.20%
🏆
78
1.83%
🤩
75
1.76%
👍
72
1.69%
🤯
34
0.797%
👏
32
0.75%
🤣
32
0.75%
🎉
26
0.609%
🙏
24
0.562%
🙈
22
0.515%
😁
18
0.422%
😍
15
0.351%
🤝
15
0.351%
🥰
11
0.258%
✍
7
0.164%
👌
3
0.07%
😎
2
0.047%
5 further kinds
7
0.164%
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 19 of the 19 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 4,512reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 4 August 2026 to 12 August 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
28
across the posts below
Posts paid on
11
of 19 we hold a reading for · 58%
Most on one post
8
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @syntxfamily. 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 19 most recent posts we hold for this entry, published 4 August 2026 to 12 August 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.
🎞️ Как выбрать нужную нейросеть, когда их сотни?
⚡️ Новый выпуск на канале SYNTX AI — пять направлений, от текста до апскейла, и одна цель: чтобы вы точно знали, какую нейросеть использовать под свою задачу.
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Возможные нюансы в генерациях ⤵️
1️⃣ Дикция
Модель всё еще «жует» сложный русский язык с обилием шипящих. Задавайте точный синтаксис: [тайм-код] Персонаж делает действие. Персонаж говорит: {точная реплика}.
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В промпте каждый раз прописывайте, кт…
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Сегодня принесла вам тренд, который снова на волне – фотосессия в эстетике Y2K. Фишай-объектив, искажённая перспектива, зернистая печать, лёгкий сдвиг CMYK и герои с характером.
📎 Навигация: syntx.ai или @syntxaibot → «Изображения» → «Sora (GPT) Image 2»
Генерация изображения
➕ Загружаете референс персонажа
➕ Пример промпта [магнитофон]:
Chaotic fisheye shot of a person with reference thr…
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▪️ Нужный объект можно просто обвести прям…
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🌷 Один из наших амбассадоров Мария, собрала для вас 6 приёмов из известных фильмов, с помощью которых вы сможете управлять вниманием зрителя, используя композиционные техники большого кино.
Внедряйте в свои проекты универсальные фрагменты, которые можно добавить практически к любому промпту, чтобы получить тот же визуальный эффект ⤵️
1️⃣ Нарушение ритма
🎞️ «Я, робот»
Introduce a str…
Шагни внутрь полотна ✨
Сегодня хочу показать вам тренд, от которого у меня самой мурашки, оживающие картины. Всего пара шагов, и ты уже не смотришь на картину, ты внутри неё.
1️⃣Шаг: Создаём образ
📎 Навигация: syntx.ai или @syntxaibot → «Изображения» → «Sora (GPT) Image 2»
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➕ Пример промпта:
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⭐️ Сколько стоит? - Абсолютно бесплатно
⭐️ Когда? - 13.08 в 18:00 (GMT+3)
⭐️ Где? - Платформа Bizon (ссылку пришлём в SYNTX FAMILY)
🗣 Ведущий МК: Максим Густарев
➖ 15 лет в …
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Сегодня я хочу поделиться с вами промптом на те самые трендовые фотографии, которые сейчас делают фотографы по всему миру.
📎 Навигация: syntx.ai или @syntxaibot → «Изображения» → «Seedream»
Генерация изображения
➕ Выбираем модель 5 Pro
➕ Пример промпта [ЛЕБЕДЬ]:
Correct, anatomically accurate body proportions, consistent facial proportions and identity, same face and likeness preserved acros…
Сниппеты в Seedance 2.5🎙️
Обновлённая модель ощутимо прибавила в реализме, что делает производство контента в разы быстрее. Но есть нюанс: русский язык нейросеть всё ещё выдает неохотно. Если в коротких диалогах алгоритм справляется неплохо, то на песнях сложную артикуляцию часто ломает.
Чек-лист для сборки видеоряда ⤵️
1️⃣ Модель лучше всего удерживает синхронизацию звука и мимики, когда вы генерируете сцену одни…
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Сегодня обойдёмся без заданий – разгрузочный день.😀
⭐️ Свободный формат.
⭐️ Ныряем в архивы за самым странным, нелепым и смешным.
⭐️ Показываем находки в комментариях.
💬 Ждём ваши провальные кадры ниже!👇
P.S. Не забывайте ставить реакцию на пост, для нас это очень важно.🔥
👤 #говоритВаня
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▪️ Корректируем лимиты токенов.
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Что в выпуске?
🏮 Действительно ли новая модель стала лучше?
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🔥114❤59❤🔥18🏆7⚡5🥰3
Showing the 12 most recent of 19 posts we hold for @syntxfamily. 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
@syntxfamily 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
12 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 15,807 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 19 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“SYNTX FAMILY” (@syntxfamily), 327,117 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/syntxfamily.
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.