Tech Evolution of a 100 Bagger Stock How Pidilite expanded its competitive advantage from white wood glue to industrial hot-melts. Click for More... https://youtu.be/jvkPFjnPB8o

Channel
India Revival with Tanushree Banerjee
@IndiaRevival
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,947subscribers
-22 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001364279024 |
|---|---|
| Type | Channel |
| Username | @IndiaRevival |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/IndiaRevival |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 15:25 | 2,947 | -6 |
| 20 Aug 2026, 17:52 | 2,953 | -1 |
| 18 Aug 2026, 00:52 | 2,954 | -2 |
| 15 Aug 2026, 00:26 | 2,956 | -9 |
| 11 Aug 2026, 06:57 | 2,965 | -4 |
| 8 Aug 2026, 16:15 | 2,969 | no change |
| 7 Aug 2026, 16:17 | 2,969 | first reading |
Engagement
20 posts held, back to 15 April 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 18.8%
- avg views ÷ 2,947 subscribers
- Avg views / post
- 556
- 4 posts measured
- Reaction rate
- 0.427%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 20 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 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (15 April 2026 – 7 August 2026) |
| Views total | 2,222 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:15 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.
Reaction mix
14 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 64.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 64.3% | |
| 👍 | 5 | 35.7% |
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 10 of the 20 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 15 April 2026 to 7 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
#EMProfitHunter - Every Investor Should Know About the Tech Evolution of Pidilite How Pidilite expanded and secured its competitive advantage. Pidilite’s Moat Here’s an extract… Pidilite built an enduring economic moat not merely by selling tubs of white wood glue, but by constructing an adaptable ecosystem of craftsman trust, retailer reach, and customised chemistry. Read on… http://www.eqtm.in/z2FAx
❤1
Proxy Stocks Could Lead India's Market Rebound Bypass the consumer-facing volatility completely no matter which brand wins. Click for More... https://youtu.be/10mLNsZvADM
#EMProfitHunter - Why India Supplies 50% of Global Medicines and Gets 6% of Revenue China's R&D engine has transformed the global medical landscape. Indian Pharma 5.0 Here’s an extract… The shift from manufacturing to invention defines the challenge for Indian pharma. The historical reliance on generics has left a gap in original drug discovery. If India is to capture a larger share of global revenue, it must e…
#EMProfitHunter - The World is Riding on Indian 2-Wheelers: Growth Plans Ahead How India's two-wheeler majors evolved from scarcity-era licenses to global manufacturing and electric mobility powerhouses. 2-Wheeler Stocks to Watch Here’s an extract… The Indian 2-wheeler industry has transitioned from an era of 10-year waiting lists for a single foreign-derived scooter to a multi-billion-dollar global export engine…
Defence, Aviation and Maritime MRO: India's Latest Smallcap Goldrush Shifting tides of global geopolitics has birthed one of the most lucrative and technologically intense industrial themes. Click for More... https://youtu.be/ORb4tAzRurs
👍1
4 Distinct Paths to Wealth in Indian Healthcare Ecosystem Businesses that possess sticky consumer relationships, structural demand insensitivity to economic recessions and excellent cash generation profiles. Click for More... https://youtu.be/RUfgyiQ98tc
👍1
#EMProfitHunter - PSUs vs MNCs: Anomaly in India's Power Stocks Unlock the true structural drivers behind India's power sector. Anomaly in Power Stocks Here’s an extract… It’s a golden era for the power sector, yet the stock market is rewarding participants with radically unequal financial metrics. While few MNC entities trade at premium multiples, dominant domestic utilities sit at comparatively deep discounts.…
👍2
#EMProfitHunter - Proxy Stocks Could Lead India’s Market Rebound Bypass the consumer-facing volatility completely no matter which brand wins. Proxy Investing Stocks Here’s an extract… The engine of wealth generation in stock markets is shifting away from traditional brand owners. It’s the interconnected layer of specialised suppliers that seem to hold the compounding power. This strategy is commonly known as pr…
❤3
Little Known Fintech's Price Value Disconnect Whether a focused fintech entity can achieve long-term compounding. Click for More... https://youtu.be/o2gurL_Vzu4
Shipbuilding Stocks With Record Order Books Volume of order books keep ship building valuations afloat even when the broader market gets choppy. Click for More... https://youtu.be/TnfAVIBmz9w
#EMProfitHunter - Investors in Infosys, TCS and HCL Tech 'Sleepwalking into Value Traps'? Can investors assume the IT giants become value traps with loss of billable hours? Infosys, TCS, HCL Tech Are Value Traps? Here’s an extract… The Editor’s Cut segment on NDTV Profit recently had a fund manager refer to those buying technology stocks in India as people ‘sleepwalking into value traps’. It’s natural for invest…
Showing the 12 most recent of 20 posts we hold for @IndiaRevival. 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.
Citation-graph rank
Citation-graph rank — 547,195 of 1,603,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“India Revival with Tanushree Banerjee” (@IndiaRevival), 2,947 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/IndiaRevival.
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.