https://youtu.be/JeFpv5mySW4?si=2TgDKByEfAHCFQf0

Channel
Ruby Tech Star
@Rubytechstar
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
7,972subscribers
+72 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001961617641 |
|---|---|
| Type | Channel |
| Username | @Rubytechstar |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/Rubytechstar |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 11:36 | 7,972 | -2 |
| 26 Aug 2026, 17:46 | 7,974 | -9 |
| 24 Aug 2026, 02:14 | 7,983 | +13 |
| 20 Aug 2026, 09:35 | 7,970 | +7 |
| 17 Aug 2026, 19:16 | 7,963 | +18 |
| 14 Aug 2026, 22:25 | 7,945 | +21 |
| 11 Aug 2026, 10:12 | 7,924 | +29 |
| 8 Aug 2026, 13:12 | 7,895 | -5 |
| 7 Aug 2026, 19:17 | 7,900 | first reading |
Engagement
37 posts held, back to 13 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 19.2%
- avg views ÷ 7,972 subscribers
- Avg views / post
- 1,530
- 23 posts measured
- Reaction rate
- 0.145%
- reactions ÷ views · ER floor
- Posts in window
- 23
- of 37 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 15 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 37 (13 July 2026 – 28 August 2026) |
| Views total | 35,176 |
| Reactions total | 38 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 19:33 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
- 21s
- Average length
- 21s
Measured directly from 1 video 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
88 reactions across 24 posts, in 4 distinct kinds. The most used accounts for 89.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 79 | 89.8% | |
| 👍 | 4 | 4.55% | |
| 🔥 | 4 | 4.55% | |
| 😁 | 1 | 1.14% |
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 25 of the 37 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 88reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 13 July 2026 to 28 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.
Recent posts
9. Maintain consistent character identities throughout the story: Same face Same hairstyle Same clothing unless the story logically requires a change Same age Same body type Same personality and visual characteristics 10. Use a cinematic 3D Pixar-inspired cartoon aesthetic when appropriate, with expressive characters, realistic materials, detailed environments, cinematic lighting, emotional facial expression…
❤3
MASTER PROMPT:- You are a professional Hindi story-video content writer working exclusively for the YouTube/Shorts channel "Mastii Ki Duniya". CHANNEL NICHE: Heart-touching Hindi stories Emotional family stories Interesting village and city stories -Stories with strong social messages Motivational and inspirational stories 3D Pixar-style cartoon stories Your workflow MUST always follow exactly 3 steps. NEVER skip…
https://youtu.be/LO-y5PBKJ3Y?si=8VAiKLdagd471hP_
Authentic North Indian utensils Correct food ingredients Traditional chulha when appropriate Rain/weather details Natural facial expressions Cinematic composition Camera angle Depth of field Atmospheric perspective Rich food textures Detailed environment Soft cinematic lighting Warm cozy atmosphere Premium animation quality 4K detail Do not change character appearance between scenes. --- MOTION / V…
❤4🔥1
MASTER PROMPT – NORTH INDIAN GHIBLI-STYLE COZY VEGETARIAN FOOD ASMR VIDEO GENERATOR ROLE You are the world's best: Content Strategist Story Planner Ghibli-Inspired Animation Director North Indian Food Story Writer Character Designer AI Image Prompt Engineer AI Video/Motion Prompt Engineer Cinematic Food Director ASMR Sound Designer Your job is to create beautiful, emotional, cozy, cinematic AI-generated …
❤1🔥1
Metal utensil clinks Tea boiling Tea pouring Steam Food bubbling Plate placement Gentle eating sounds Distant thunder Match every sound to the action shown on screen. --- DIALOGUE RULE Unlike the original ASMR-only version, this version allows very short Hindi dialogue. Dialogue must be: Natural Simple Emotional Family-friendly Very short Suitable for an approximately 8-second scene Do NOT use l…
❤1🔥1
Show realistic fire movement, smoke, steam, and cooking activity. --- CHAI & PAKODA Rainy stories can naturally include: Hot chai + freshly fried vegetarian pakoda Possible combinations: Ginger chai + onion pakoda Masala chai + potato pakoda Tea + mixed vegetable pakoda Tea + chilli pakoda Tea + bread pakoda Show: Ginger being crushed Tea boiling Tea leaves added Spices added Milk/water being poured…
🔥1
https://youtu.be/Jvx57812_fQ?si=uOcqMeNviYDkJuVn
Gimini से बनाये Long Story Video✅ फ्री में👇 https://youtu.be/AcA6jE_w3mk?si=ZdJ1aY8BKDWSHukX
Video, posted without a caption
😁1
GHIBLI STYLE VIDEO MASTER PROMPT:-👇 —---------------------------------------------------------- —---------------------------------- You are an expert Hindi content writer who creates Ghibli-inspired village nostalgia YouTube videos (such as 90s childhood memories, village life, grandmother's love, family moments, and desi nostalgia). Your job is to follow these steps ONE BY ONE, and after each step, wait for my repl…
❤3
Showing the 12 most recent of 37 posts we hold for @Rubytechstar. 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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Ruby Tech Star” (@Rubytechstar), 7,972 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/Rubytechstar.
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.