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Telegram profile photo for Hedera Ai Lab

Channel

Hedera Ai Lab

@hedera_ai_lab

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

340subscribers

+6 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1003760542743
TypeChannel
Username@hedera_ai_lab
CreatedBetween 1 February 2026 and 5 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live9 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/hedera_ai_lab

Growth

33434033711 August 2026 — 334 subscribers11 August 2026 — 334 subscribers19 August 2026 — 337 subscribers25 August 2026 — 336 subscribers31 August 2026 — 337 subscribers9 September 2026 — 340 subscribers11 August 20269 September 2026
6 measurements spanning 29 days, net +6. 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 333–341 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 04:38340+3
31 Aug 2026, 18:08337+1
25 Aug 2026, 08:32336-1
19 Aug 2026, 06:12337+3
11 Aug 2026, 06:57334no change
11 Aug 2026, 01:47334first reading

Engagement

13 posts held, back to 5 June 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 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 13 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
3m 15s
Average length
22s

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.

Reaction mix

193 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 46.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9046.6%
4121.2%
👍3216.6%
❤‍🔥73.63%
👏73.63%
42.07%
💯42.07%
🙏31.55%
🎉21.04%
🏆21.04%
🤩10.518%

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 13 of the 13 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 193 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 5 June 2026 to 9 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
30
across the posts below
Posts paid on
12
of 13 we hold a reading for · 92%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hedera_ai_lab. 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 13 most recent posts we hold for this entry, published 5 June 2026 to 9 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.

Recent posts

9 Aug 2026, 12:05 UTC67 views5 reactions1 Starread 11 August 2026
Photo

Welcome to the world of Hedera Pictures. 🌍✨ Meet Lumi — the heart of our adventures. Baby Shark & Tiny Octopus — best friends from beneath the waves. 🦈🐙 Orlusha — the fearless king of the skies. 🦅 Makoa — the mysterious panther of the jungle. 🐆 And Bako — the honey badger who is afraid of absolutely nothing. 😎 Different worlds. Different stories. One universe. This is only the beginning. ❤️ Who’s your favorite he

🔥3👍1🤩1

31 Jul 2026, 20:00 UTC154 views10 reactions2 Starsread 11 August 2026
Video

Every story begins with something small — a single idea. Millions of people around the world have watched our films. Now, we want to create the next story together with you. If our work has ever made you smile, feel, or reflect on something meaningful, you can help us bring new episodes to life. Every contribution goes directly toward animation, sound, and production. Help the next story begin: https://dalink.to/h

🔥6👏2💯2

29 Jul 2026, 10:58 UTC183 views16 reactions1 Starread 11 August 2026
Photo

Most AI creators treat storyboards as something you make before the video. I’m starting to use them after the video too. This storyboard wasn’t drawn manually. I simply uploaded the finished video into Codex, and it automatically broke the sequence into a clean visual timeline with timestamps, camera angles, and key story beats. Why is this actually useful? 🎬 1. You see the pacing instead of just feeling it. Looki

🔥76🙏3

8 Jul 2026, 13:29 UTC457 views16 reactions1 Starread 11 August 2026
Video

🎬 Prompt Breakdown: Vikram Takes Popcorn New experiment for Seedance 2.0. The idea: A packed Indian cinema. The audience has been waiting for Vikram Patel for 25–30 minutes. Then he finally appears on the movie screen. But instead of fighting immediately… He walks out of the screen, enters the real theater, calmly takes popcorn from a shocked viewer, gives a tiny nod to the phone camera, and returns back into t

🔥11👍3🏆2

25 Jun 2026, 08:38 UTC≈1,710 views15 reactions1 Starread 11 August 2026
Video

AI Cartoon Workflow is live 🎬 I shared the workflow behind my animated AI videos. It’s not just one prompt. It’s a small production pipeline: story → script → scene split → video generation → preview You write a story, the workflow turns it into a cinematic script, splits it into parts and prepares the scenes for video generation in Seedance 2.0. The goal is to make AI video creation more structured, repeatable

🔥10👍2💯21

22 Jun 2026, 14:32 UTC606 views17 reactions2 Starsread 11 August 2026
Photo

🎬 Same face. Different character. Look at these two images. Same man. Same cat. Same jungle. Same golden light. But one feels like a regular guy. The other feels like Vikram Patel. Why? Because Vikram has a visual code. 🔴 red bandana 🥸 thick mustache 🐈 Bonifaciy on the shoulder 🧥 adventure costume 🔥 serious stare 🎬 heroic framing 🌅 warm cinematic light That is what makes a character memorable. Not just the fa

🔥75👍3👏2

19 Jun 2026, 10:56 UTC544 views13 reactions1 Starread 11 August 2026
Video

🎥 Handheld Camera = Realism AI video often looks too perfect. Too clean Handheld camera helps fix that. 📱🎬 It adds: ➤ realism ➤ urgency ➤ chaos ➤ human imperfection ➤ “real footage” feeling The trick is not to write: ❌ shaky camera That can make the video look broken. Better: ✅ slightly shaky handheld camera ✅ natural human movement ✅ controlled camera shake ✅ realistic phone footage feeling ✅ clear subject

🔥6👍3👏31

17 Jun 2026, 09:21 UTC509 views10 reactions1 Starread 11 August 2026
Video

🎬 Why absurd comedy works in AI video Absurd comedy is not just “random weird stuff.” 🧠⚡ It works when a small, stupid or ordinary situation is treated like something huge. That’s the core formula: Small problem. Serious reaction. Epic filmmaking. A tiny inconvenience becomes a disaster. ☕💥 A normal hallway becomes a battlefield. 🚪⚡ A useless object becomes a sacred treasure. 🧤✨ The action can be simple. The a

4👍3🔥3

13 Jun 2026, 17:59 UTC534 views19 reactions6 Starsread 11 August 2026
Video

Want people to wait for your next AI video? 👀 Use a cliffhanger. 🪝🎬 A cliffhanger is when you stop the story right before the answer. Not when everything is solved ✅ Not when the action is over 🏁 But at the exact moment when the viewer thinks: “Wait… what happens next?” 😳🔥 That unfinished feeling creates: ⚡ curiosity 😬 tension 💬 comments 🔁 rewatches 🚀 anticipation for Part 2 For AI videos, this is especially us

❤‍🔥7🔥54👍3

9 Jun 2026, 19:43 UTC637 views17 reactions4 Starsread 11 August 2026
Video

🎬 Vikram vs. the TV remote. No villain. No fight. No explosion. 💥❌ Just one man, one sofa, and one remote control placed slightly too far away. 🛋️📺 I made this as an AI video experiment: What if the most ordinary home routine was filmed like an epic Tollywood survival mission? 🇮🇳🔥 The whole scene works because the action is tiny, but the filmmaking is enormous: 🎥 heroic low angles ⚡ crash zooms 🐢 slow motion 🌀

🔥1032🎉2

9 Jun 2026, 15:44 UTC572 views18 reactions5 Starsread 11 August 2026
Video

🎥 Camera Movement Lesson: TRACKING SHOT A tracking shot is when the camera moves with the character. And in AI video, this instantly makes the scene feel more cinematic. 🧠✨ Why it works: 🦡 It gives the character momentum The hero feels like he is pushing the story forward. 🎬 It creates depth Foreground, character and background move at different speeds, creating natural parallax. 🧭 It makes the viewer follow th

👍8🔥622

6 Jun 2026, 19:31 UTC578 views20 reactions5 Starsread 11 August 2026
Photo

🎬 Your AI video looks flat because the camera has no opinion. Most people describe the character. Some describe the action. But almost nobody tells the camera where to stand. And that changes everything. ⚡️ A camera angle is not decoration. It tells the viewer what to feel before the scene even begins. Here are 6 angles I use when building cinematic AI scenes 👇 1. LOW ANGLE = POWER 💪 Makes the character feel str

9🔥7👍4

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

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

“Hedera Ai Lab” (@hedera_ai_lab), 340 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/hedera_ai_lab.

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.