28 measurements spanning 32 days, net -8,689. 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 24,159–35,454 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
8 Sept 2026, 19:41
25,462
-897
5 Sept 2026, 10:17
26,359
-747
3 Sept 2026, 09:41
27,106
-478
2 Sept 2026, 02:58
27,584
-272
1 Sept 2026, 00:29
27,856
-224
31 Aug 2026, 00:54
28,080
-371
29 Aug 2026, 21:27
28,451
-216
29 Aug 2026, 00:53
28,667
-721
27 Aug 2026, 23:24
29,388
-159
26 Aug 2026, 23:28
29,547
-1,398
25 Aug 2026, 19:54
30,945
-283
24 Aug 2026, 18:07
31,228
-635
22 Aug 2026, 23:47
31,863
-320
21 Aug 2026, 16:48
32,183
-95
20 Aug 2026, 15:14
32,278
-178
19 Aug 2026, 17:45
32,456
-130
18 Aug 2026, 17:03
32,586
-169
17 Aug 2026, 14:56
32,755
-128
16 Aug 2026, 07:53
32,883
-331
14 Aug 2026, 18:35
33,214
first reading
Engagement
28 posts held, back to 10 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.17%
avg views ÷ 25,462 subscribers
Avg views / post
807
6 posts measured
Reaction rate
6.24%
reactions ÷ views · ER floor
Posts in window
6
of 28 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 4 September 2026
Posts held
28 (10 July 2026 – 4 September 2026)
Views total
4,839
Reactions total
302
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Sept 2026, 12:46 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
2m 47s
Average length
2m 47s
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
2,393 reactions across 27 posts, in 23 distinct kinds. The most used accounts for 18.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
450
18.8%
👍
315
13.2%
🔥
304
12.7%
🥰
262
10.9%
🎉
191
7.98%
😘
141
5.89%
👏
96
4.01%
😁
95
3.97%
❤🔥
83
3.47%
🤩
78
3.26%
😍
69
2.88%
⚡
62
2.59%
🕊
58
2.42%
🤗
39
1.63%
💘
36
1.50%
💋
32
1.34%
👀
28
1.17%
🍓
21
0.878%
💯
20
0.836%
✍
6
0.251%
3 further kinds
7
0.293%
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 27 of the 28 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 2,393 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 10 July 2026 to 4 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.
TaskOn campaign officially concluded. ✅
7,106 participants
5,174 completed all tasks
To everyone who joined — thank you for showing up and building with us. 🫡
🏆 Winners can now claim their rewards on TaskOn:
taskon.xyz/quest/35800231
And now we move.
NEXT STOP: TGE. 🚀
Want to participate and earn with us across upcoming DigiMaaya campaigns?
Contact t.me/Khal1230 on Telegram to get involved.
Check out :Tweets
👀 A Web3 project doesn’t win because it launched.
💪🏻 It wins because it can survive what comes after.
👉🏻 @DigiMaaya Springboard helps projects move from early screening and incubation to community activation, distribution and market access.
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Springboard.DigiMaaya.com
Check out :Tweets
The real opportunity isn’t forcing users to understand new infrastructure.
It’s building better experiences on top of it. ⚡️
What’s one financial experience you believe needs reinvention? 👇
Check out : Tweets
From discovery to execution, each extra step Builds Trust.
The @DigiMaaya Exchange Beta is built to make you earn while you learn trading. ⚡
Explore the market. Make your decision. Execute.
This is just the start🚀.
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Check out: Tweets
⚡️ @DigiMaaya × @Nodiens IS LIVE
Our community task swap is officially live.
→ Join Nodiens
→ Complete the quests
→ Earn points toward future rewards
→ Get in early
DigiMaaya community, your mission 👇
Check out: Tweet
Celebrating the spirit of freedom, progress and innovation. 🇮🇳
This Independence Day, @DigiMaaya honours India’s journey while building toward a stronger, more inclusive and digitally empowered financial future.
Happy Independence Day! 🇮🇳✨
Check out : Tweet
🚀 Connect. Grow. Build.
The right connections can turn an idea into momentum.
@DigiMaaya Springboard creates a space where builders, communities, and early supporters come together to discover opportunities, collaborate, and grow.
Ready to take your next step into Web3?
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🚀 Every great business starts with a direction. The best ones move with purpose.
With @DigiMaaya Springboard, you’re not just entering Web3. You’re positioning your business for growth, visibility, and new opportunities.
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Ready for take off. 🚀
Big ideas deserve a bigger launch.
@DigiMaaya Springboard helps businesses transition into Web3 with the tools, network, and opportunities to scale beyond traditional limits.
The next era of growth starts with one launch.
Ready to launch your business into Web3?
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Traditional in. Tokenized out.
The future of business isn't about replacing real-world assets. It's about unlocking their full potential on-chain.
With @DigiMaaya Springboard, businesses can transform tangible value into digital opportunities built for the next generation of finance.
Ready to bring your business on-chain?
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Turn real-world assets into digital opportunities with @DigiMaaya Springboard. Tokenize with confidence, raise capital smarter, and scale beyond traditional boundaries.
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🚧 Great businesses aren’t built overnight. They’re built with the right support.
Every milestone starts with a strong foundation.
With @DigiMaaya Springboard, your business gets the platform to scale, connect, and unlock new opportunities for long-term growth.
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💋15😘11🥰6⚡4🔥4🎉2❤1🍓1
Showing the 12 most recent of 28 posts we hold for @DigiMaayaMain. 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 18 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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@DigiMaayaMain named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@digimaaya named in 65 posts, 8 August 2026 – 30 August 2026
@iqofficial named in 3 posts, 8 August 2026 – 12 August 2026
@dlp_group named in 1 post, 8 August 2026 – 8 August 2026
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.
“DigiMaaya Channel” (@DigiMaayaMain), 25,462 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/DigiMaayaMain.
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.