🤝 Tencent Releases Hy4 Today, we’re releasing Hy4, another major leap forward that places Hy among the strongest open-source models for the first time. Compared with Hy4 preview, Hy4 substantially scales up both pre-training and post-training. It adds vision capabilities for the first time and delivers major gains in instruction following, long-context understanding, long-horizon tasks, deep research, and more. U…

Channel
PRO PROMPTS (AI) | SEEDANCE | GROK | WAN | HAILUO |
@TheProPrompts
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Declared links · Cite this entry
2,057subscribers
+1,422 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003883931185 |
|---|---|
| Type | Channel |
| Username | @TheProPrompts |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 November 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 14 November 2026 |
| On Telegram | t.me/TheProPrompts |
Topic
Technology — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Nov 2026, 03:17 | 2,057 | +22 |
| 9 Nov 2026, 08:51 | 2,035 | +21 |
| 5 Nov 2026, 15:35 | 2,014 | -4,361 |
| 2 Nov 2026, 23:26 | 6,375 | -199 |
| 30 Oct 2026, 18:36 | 6,574 | -569 |
| 27 Oct 2026, 11:25 | 7,143 | -6 |
| 24 Oct 2026, 00:45 | 7,149 | +2,611 |
| 20 Oct 2026, 22:26 | 4,538 | +3,520 |
| 17 Oct 2026, 15:16 | 1,018 | +18 |
| 14 Oct 2026, 17:20 | 1,000 | +41 |
| 6 Oct 2026, 22:19 | 959 | +67 |
| 26 Sept 2026, 06:19 | 892 | +67 |
| 13 Sept 2026, 19:02 | 825 | +31 |
| 5 Sept 2026, 01:20 | 794 | +36 |
| 29 Aug 2026, 00:05 | 758 | +20 |
| 22 Aug 2026, 19:12 | 738 | +56 |
| 15 Aug 2026, 16:05 | 682 | +39 |
| 9 Aug 2026, 00:51 | 643 | +8 |
| 8 Aug 2026, 06:02 | 635 | first reading |
Engagement
38 posts held, back to 31 July 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 5 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.8%
- avg views ÷ 2,057 subscribers
- Avg views / post
- 305
- 18 posts measured
- Reaction rate
- 0.305%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 38 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. It is computed over the 8 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 38 (31 July 2026 – 4 November 2026) |
| Views total | 5,496 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 12:59 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
- 9m 55s
- Average length
- 26s
Measured directly from 23 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
21 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 47.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 47.6% | |
| 👍 | 4 | 19.0% | |
| 🔥 | 3 | 14.3% | |
| ❤🔥 | 1 | 4.76% | |
| 😁 | 1 | 4.76% | |
| 😐 | 1 | 4.76% | |
| 🤣 | 1 | 4.76% |
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 16 of the 38 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 31 July 2026 to 4 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.
Recent posts
Telegram’s own ‘edited’ marker: 8 of 18 posts held from the last 30 days (44.4%) 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).
👁 I have received hidden intel about a new AI video model release later this month. I can't share further info, but if this is what I think it is, it might be a very serious release. Something that is fundamentally a good alternative to Seedance line.
Look at Fable 5.5 Animation. Some people theorize that video generators might get replaced given how good LLMs are at creating vibecoded animations (time will tell). https://x.com/notjazii/status/2117261864904351848
🎁 For people hunting free Video generations Sume platform allows 100 videos for free with HeyGen model (Minimax H3 Fork) https://t.co/NunZOX61QX https://x.com/davidim/status/2117272044924780876
❤1
😎Staffman vs Tiger (Seedance 2.5) - Reference(s): No - Styles Support: Realism "Create a hyper-realistic, dark fantasy action sequence set in an ancient, mist-covered forest with towering trees, moss-covered rocks, cascading waterfalls, and a shallow river. A rugged East Asian warrior with long wet black hair, weathered skin, traditional dark blue battle robes, leather armor, and a wooden staff struggles through t…
👻 City Ghost Fight (Seedance 2.5) - Reference(s): No - Styles Support: Realism "宽高比:16:9,横屏。写实机械角色置身真实实拍环境。极速空中战斗、精准武器接触、强力冲击与壮观破坏。主要视觉规则 — 无火花机械战斗全程不得生成飞溅火花或发光粒子拖尾。武器接触仅通过物理后坐、短暂镜头震动、金属声效,以及局限于接触金属表面的一小片冷白日光反射来表现。该反射不散射、不喷溅、不留轨迹。所有飞散碎片必须呈现为固体工业制品:银色金属碎片、深色钢件、白色陶瓷碎块、可辨识齿轮、支架与电子元件。碎片具有硬边、可见厚度、刚性旋转与重力驱动轨迹。避免细小发光微粒云。破坏效果保持中性色调。禁止红色、橙色、黄色、粉色或棕色粒子效果。禁止液体状喷射、飞溅、液滴、滴落或潮湿纹理。灰尘为浅灰色、干燥、稀薄,缓慢沉降。场景纽约市时代广场,明亮正午日光。巨型LED广告牌、高层商业…
🧠 mischief 1 - AI Video Model Release New model released by TBC that was created using neuron-derived AI technology (using similar framework as human brains). today, we introduce a little mischief to the world. for four years, we’ve been brewing real brain cells on electrodes to understand how they compute. now, we’ve turned those discoveries into a video model anyone can use. from 0.5¢ a second, mischief 1 is at le…
🎃 Spooky Halloween Scene (Seedance 2.5) - Reference(s): No - Styles Support: Realism "Create a hyper-realistic, cinematic Halloween horror sequence set on a stormy midnight. An abandoned Victorian mansion stands at the end of a narrow, rain-soaked street. The sky is dark blue-black, a gigantic full moon is partially obscured by moving clouds, and dense ground fog rolls between twisted trees. Dozens of carved pumpk…
📱 Introducing Gemini 4 Carbon Our latest frontier model. Carbon delivers improved performance across domains — ranking #1 on v5.0 of the ArtificialAnlys Intelligence Index and sets a new state-of-the-art in cybersecurity and long-horizon capabilities. It’s rolling out starting this week to cyber defenders through our Fairwind Program, with expanded access coming soon https://blog.google/innovation-and-ai/models-and…
👍1
💧Shower Escape (Seedance 2.5) - Reference(s): Optional - Styles Support: Realism "Create a 30-second, photorealistic live-action miniature-person VFX comedy video showing an ordinary shower turning into an extreme survival adventure. Use cinematic macro photography, ultra-shallow depth of field, realistic water physics, dynamic handheld camera movements, dramatic lighting, and spectacular scale contrast. The vide…
💀Unholy Soul Extraction (Seedance 2.5) - Reference(s): Optional - Styles Support: Realism "Create an ultra-photorealistic live-action Japanese supernatural action sequence with high-budget Hollywood cinematography, realistic physics, dark fantasy atmosphere, and practical-feeling VFX. A Japanese female shinobi with long black hair, wearing a fitted black ninja outfit, layered dark robe, forearm wraps, and traditi…
❤1
🥷 Fight at the Wall (Seedance 2.5) - Reference(s): Optional - Styles Support: Realism "16:9 宽屏,电影质感实拍风格,时长 15 秒,呈现一场节奏紧凑、连贯流畅的跑酷式格斗。镜头切换仅采用硬切(直接跳转),无叠化、变形或其他转场特效;每次切换时,动作与运动方向均保持连贯衔接。全片无对白,仅保留真实的脚步声、衣物摩擦声、水花飞溅声及撞击声。 主角:@image 1(面部特征、发型、玫瑰粉色挑染、侧边长辫、李子色上衣及米色工装裤,全片保持与参考图一致)。她的动作干脆利落、果断且流畅。她在整场格斗中占据绝对主导,以迅雷不及掩耳之势接连击倒十名蒙面袭击者。 对手:十名蒙面的“灰烬卫士”(Ashen Guard),身穿炭灰色连帽雨衣,面部裹着石板灰色的布巾,手持竹杖与短棍。他们从上方、侧面及后方包围而来。每一名对手在被击中后都有明确的物理…
❤1
Showing the 12 most recent of 38 posts we hold for @TheProPrompts. 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.
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.
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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
https://discord.gg/V9fnTwfXJZ
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 14 November 2026 — this entry's latest reading, not the date you are reading this.
“PRO PROMPTS (AI) | SEEDANCE | GROK | WAN | HAILUO |” (@TheProPrompts), 2,057 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/TheProPrompts.
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.