21 measurements spanning 26 days, net +3,381. 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 14,086–18,481 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
8 Sept 2026, 08:58
17,974
+263
5 Sept 2026, 00:18
17,711
+145
3 Sept 2026, 09:33
17,566
+122
2 Sept 2026, 02:02
17,444
+109
1 Sept 2026, 04:29
17,335
+100
31 Aug 2026, 01:42
17,235
+163
30 Aug 2026, 00:54
17,072
+98
29 Aug 2026, 02:43
16,974
+73
28 Aug 2026, 03:34
16,901
+72
27 Aug 2026, 05:27
16,829
+140
26 Aug 2026, 03:49
16,689
+94
25 Aug 2026, 02:12
16,595
+164
23 Aug 2026, 15:06
16,431
+239
22 Aug 2026, 03:17
16,192
+197
20 Aug 2026, 16:54
15,995
+275
19 Aug 2026, 13:52
15,720
+201
18 Aug 2026, 10:55
15,519
+202
17 Aug 2026, 10:56
15,317
+364
15 Aug 2026, 17:56
14,953
+273
14 Aug 2026, 03:27
14,680
first reading
Engagement
82 posts held, back to 1 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.6%
avg views ÷ 17,974 subscribers
Avg views / post
4,960
70 posts measured
Reaction rate
0.279%
reactions ÷ views · ER floor
Posts in window
70
of 82 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 68 of 70 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
82 (1 August 2026 – 2 September 2026)
Views total
347,280
Reactions total
937
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:18 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
3m 56s
Average length
3m 56s
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
1,018 reactions across 78 posts, in 11 distinct kinds. The most used accounts for 75.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
772
75.8%
👍
159
15.6%
👏
50
4.91%
❤🔥
12
1.18%
👎
9
0.884%
🙏
5
0.491%
🔥
4
0.393%
🥰
3
0.295%
💯
2
0.196%
😁
1
0.098%
🤯
1
0.098%
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 79 of the 82 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 1,018 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 82 most recent posts we hold, published 1 August 2026 to 2 September 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.
🇮🇳 AI की Race में China कहाँ पहुँच चुका है… और हमारा India कहाँ खड़ा है?
🤖 Humanoid Robots से लेकर Military AI और Future Warfare तक—China की तैयारी सिर्फ Technology की कहानी नहीं, हमारे देश के भविष्य और सुरक्षा से जुड़ा सवाल है।
🔥 Aman Sir ने गहरी Research के बाद वो Facts और Developments एक जगह रखे हैं, जिन्हें हर जागरूक भारतीय को जानना चाहिए।
https://youtu.be/0z03xWveZp4
https://youtu.be/0z03xWveZp4
https://youtu…
आज रात 09 बजे सभी साथी लाइव जुड़ें।
आज आपको AI की सबसे गहरी Foundation वाली दुनिया समंझाने वाली क्लास दी जाएगी।
आज आप वो समँझेंगे जो USA व् China के बड़े बड़े Engineers सीख कर बैठे है।
https://youtube.com/live/L5MKQjsKScE
https://youtube.com/live/L5MKQjsKScE
https://youtube.com/live/L5MKQjsKScE
SlideYantra वाला Software भी आपको आज ही समर्पित किया जायेगा
याद रखना - कल 01 सितम्बर है - Nation Builder Batch की पहली क्लास
कल रात 09 बजे - Youtube पर इसकी पहली क्लास होगी - Demo क्लास ही बता देगी तुमको कि ये तुम्हारा भविष्य बदलने वाला है।
इसके लिए जो तैयारी की है तुम देखते रह जाओगे। कल रात 09 बजे - देश के हर स्कूल व् कॉलेज का वो छात्र जिसे तुम जानते है सब लाइव होने चाहिए। देश का भाग्य बदलने वाला अभियान है ये
https://youtube.com/live/L5MKQjsKScE
https://youtube.com/live/…
--------------------------------------------------------------------------------
4. RULES FOR WRITING B-ROLL (00:04 – 00:10)
--------------------------------------------------------------------------------
1. PURE VISUALS ONLY: Describe only camera movements (tracking, tilt, crane, orbit, macro), lighting, visual subjects, pacing, and 3D graphics.
2. ABSOLUTE ZERO AUDIO WORDS: Do NOT mention "voice", "tone", "speaks"…
antigravity 1st prompt
================================================================================
MASTER SYSTEM PROMPT: AI VIDEO PRODUCTION DIRECTOR
================================================================================
You are acting as an expert Video Production Director. Your task is to write complete, scene-by-scene video generation prompts for 10-second scenes based on my script and visual dire…
## Master Prompt
Use the attached reference image as the identity reference for the educator. Preserve the face, overall appearance, and recognizable identity of the person, but do not keep the same outfit. Create a high-quality, realistic 16:9 image intended for use as the fixed frame of a video. Show the educator sitting in a classy, modern office, facing the camera directly as if ready to record a professional ta…
Now act like a video production director for production of this video. I want you to suggest B-rolls for this video, and I want these B-rolls scene-wise. I just don't want that you are reading a single scene and writing B-rolls for it. I want you to read the entire script first, understand the context of the entire script, and then decide what should be the B-roll for scene 1, what should be the B-roll for scene 2, w…
Read and wait
I am Amandeep Ravish, Director of Bharat AI Research Center. I teach students about how AI helps in different sectors. Today I want to take a lecture on how China is moving ahead with AI. I want to explain all my students about China's plan, where they want to reach, how they are doing good in robotics, how they have already been implemented the learning of artificial intelligence in schools, what surpr…
🙏🙏🙏
मुझे नहीं पता मेरी मेहनत की क्या इज्जत आपकी नज़रों में है - लेकिन मुझे कुछ बहुत बड़ा बदलाव लाना है।
आम घरों के बच्चों को AI की ताकत देनी है - उसी क्रम में 09 बजकर 15 मिनट पर लाइव आ रहा हूँ - अपनी मेहनत आपको देने
https://youtube.com/live/rcJde8faOQc
https://youtube.com/live/rcJde8faOQc
https://youtube.com/live/rcJde8faOQc
❤20👏4
Showing the 12 most recent of 82 posts we hold for @AIUpdates2026. 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.
Posts edited after publishing
@AIUpdates2026 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
2 September 2026
Most recent edit
2 September 2026
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.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“Bharat AI Research Centre” (@AIUpdates2026), 17,974 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/AIUpdates2026.
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.