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Channel

CONCALLS

@Concalls3

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

10,043subscribers

+584 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001958792874
TypeChannel
Username@Concalls3
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live29 August 2026
Measurements held13
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/Concalls3

Growth

9,45710,0439,7506 August 2026 — 9,459 subscribers6 August 2026 — 9,457 subscribers9 August 2026 — 9,682 subscribers12 August 2026 — 9,818 subscribers15 August 2026 — 9,835 subscribers18 August 2026 — 9,871 subscribers21 August 2026 — 10,004 subscribers22 August 2026 — 10,014 subscribers24 August 2026 — 10,036 subscribers26 August 2026 — 10,034 subscribers27 August 2026 — 10,039 subscribers28 August 2026 — 10,036 subscribers29 August 2026 — 10,043 subscribers6 August 202629 August 2026
13 measurements spanning 23 days, net +584. 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 9,369–10,131 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 06:1610,043+7
28 Aug 2026, 07:2510,036-3
27 Aug 2026, 10:0410,039+5
26 Aug 2026, 11:3210,034-2
24 Aug 2026, 10:5910,036+22
22 Aug 2026, 16:0610,014+10
21 Aug 2026, 08:3910,004+133
18 Aug 2026, 12:359,871+36
15 Aug 2026, 03:239,835+17
12 Aug 2026, 02:429,818+136
9 Aug 2026, 08:519,682+225
6 Aug 2026, 15:559,457-2
6 Aug 2026, 04:039,459first reading

Engagement

291 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 37 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.36%
avg views ÷ 10,043 subscribers
Avg views / post
538
291 posts measured
Reaction rate
0.363%
reactions ÷ views · ER floor
Posts in window
291
of 291 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 144 of 291 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 August 2026
Posts held291 (6 August 202629 August 2026)
Views total156,658
Reactions total354
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 04:16 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

348 reactions across 124 posts, in 12 distinct kinds. The most used accounts for 69.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
24369.8%
👍5515.8%
🤡205.75%
👏123.45%
🔥51.44%
🐳30.862%
💯30.862%
😴30.862%
🎉10.287%
😍10.287%
😱10.287%
🫡10.287%

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 144 of the 291 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 354reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 291 most recent posts we hold, published 6 August 2026 to 29 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

29 Aug 2026, 03:57 UTC122 viewsread 29 August 2026
Forwarded from @Qoutes90Photo

Photo, posted without a caption

28 Aug 2026, 02:54 UTC≈1,360 views2 reactionsread 29 August 2026
Photo

ALLCARGO LOGISTICS | TURNAROUND STORY? Business Update - Restructuring has created a more focused domestic logistics business. - New management is driving greater focus on operational efficiency and profitability. - Q1FY27 EBITDA grew 39% YoY to ₹20 Cr. - PBT before exceptional items jumped 258% YoY. - Express and Contract Logistics delivered record quarterly revenue. - Customer retention remains strong with 99%+ se

👍2

28 Aug 2026, 01:46 UTC≈1,090 views4 reactionsread 29 August 2026
Forwarded from @Qoutes90Photo

WAKE UP WITH DETERMINATION GO TO BED WITH SATISFACTION

👍4

27 Aug 2026, 11:07 UTC≈1,560 views5 reactionsread 29 August 2026

MV ELECTROSYSTEMS | Q1 FY27 CONCALL HIGHLIGHTS #Q1FY27 FY27 Revenue Ramp-Up - FY27 revenue target: ~₹400 Cr. - Scale-up expected from Sep’26 after IPO working-capital infusion. - ~10 loco propulsion sets/month in Sep’26. - ~25 sets/month targeted by Nov’26. - ~40 sets/month run-rate targeted from Jan’27. - ~₹70 Cr/month revenue at 40-set run-rate. - ~70 propulsion sets expected by Q3 FY27. - Balance of current loco

5

26 Aug 2026, 10:15 UTC≈1,300 views5 reactionsread 29 August 2026
Forwarded from @stockupdate9Photo

CHEMICAL INDUSTRY | FROM CHINA+1 TO QUALITY+MOAT Pre-2010 | Commodity Era - Focused largely on bulk chemicals. - Key products included caustic soda and soda ash. - Competition driven mainly by scale and cost. - Low differentiation across producers. 2010–2020 | China+1 Boom - China's environmental crackdown disrupted global supply. - Global customers searched for reliable alternatives. - India emerged as a major ben

5

26 Aug 2026, 05:50 UTC≈1,210 views2 reactionsread 29 August 2026
Forwarded from @stockupdate9

INNOVA CAPTAB | GROWTH & EARNINGS INFLECTION Q1 FY27 Performance - Revenue: ~₹471 Cr, up 34% YoY. - EBITDA: ~₹75 Cr, up 33% YoY. - EBITDA margin: ~16%. - PAT: ~₹44 Cr, up 42% YoY. - CDMO revenue: ~₹329 Cr, up 32%. - Branded-generics revenue: ~₹142 Cr, up 39%. - Volume growth: ~22%. Jammu Facility | Key Growth Driver - Q1 revenue: ~₹107 Cr. - Current utilisation: ~25–30%. - Mature utilisation potential: ~65–70%. - R

2

26 Aug 2026, 01:42 UTC≈1,100 views6 reactionsread 29 August 2026
Forwarded from @Qoutes90Photo

They can imitate your style, but they can't imitate your creativity.

6

25 Aug 2026, 15:25 UTC≈1,780 views7 reactionsread 29 August 2026

“Air cooling will be continue.” 🔥 “Around 50% of capacity utilisation.” ( On New Capex Utilisation in FY27) “We will be the first manufacturer.” (On Micro channel hear exchangers) “Planning to achieve around ₹200 Cr” ( On Exports) Mgmt., KRN Heat Exchanger and Refrigeration Ltd, Q1FY27 Concall.

7

25 Aug 2026, 04:40 UTC≈1,820 views4 reactionsread 29 August 2026

XTRANET TECHNOLOGIES LTD – Q1 FY27 CONCALL HIGHLIGHTS #Q1FY27 Q1FY27 Financial Performance - Revenue from operations grew 11% YoY to ₹51 Cr. - Operational EBITDA surged 89% YoY to ₹10 Cr. - EBITDA margin expanded 855 bps to 20.59%. - PAT increased 77% YoY to around ₹6 Cr. - PAT margin improved 444 bps to 11.88%. - FY26 ROE and ROCE remained above 30%. - Stronger services mix drove major profitability improvement. B

2👍2

25 Aug 2026, 04:30 UTC≈1,620 views2 reactionsread 29 August 2026

PATEL RETAIL LTD – Q1 FY27 CONCALL HIGHLIGHTS #Q1FY27 Q1FY27 Financial Performance - Total income grew 69.35% YoY to ₹310.24 Cr vs ₹183.19 Cr. - EBITDA rose 23.92% YoY to ₹19.68 Cr. - PAT increased 37.43% YoY to ₹9.52 Cr. - EPS stood at ₹2.85. - Strong growth driven by retail expansion, consumer reach and product portfolio traction. Retail Store Expansion - Q1 saw new stores at Rasayani and Babgaon. - Post quarter-

2

25 Aug 2026, 02:14 UTC≈1,230 views1 reactionsread 29 August 2026
Forwarded from @Qoutes90Photo

Photo, posted without a caption

1

Showing the 12 most recent of 291 posts we hold for @Concalls3. 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 — 364,860 of 1,625,954entries 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.

Mentions

Named by 3 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Fundamental Analysis (Long term)
@fundamental3 · 44,992
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 27 August 2026
Zerodha
@zerodhain · 54,190
Telegram ranks this channel #20 of 91 here — alongside 90 others — read 24 August 2026
Chart Bank - Mv :-)
@chartbank · 65,088
Telegram ranks this channel #66 of 88 here — alongside 87 others — read 21 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

“CONCALLS” (@Concalls3), 10,043 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/Concalls3.

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.