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Telegram profile photo for 𝐓𝐄𝐂𝐇 π„πŒππˆπ‘π„

Channel

𝐓𝐄𝐂𝐇 π„πŒππˆπ‘π„

@tech_empire

On this record: Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Cite this entry

165subscribers

+2 since we began measuring on 12 August 2026

Risers and fallers across the register Β· movement among entries of Under 1,000.

Register entry

Telegram ID-1003651384457
TypeChannel
Username@tech_empire
CreatedBetween 1 December 2025 and 31 May 2026β€” estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live21 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/tech_empire

Growth

162165163.512 August 2026 β€” 163 subscribers12 August 2026 β€” 163 subscribers13 August 2026 β€” 162 subscribers21 August 2026 β€” 165 subscribers12 August 202621 August 2026
4 measurements spanning 9 days, net +2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β€” snapshots are recorded only when a count changes, so gaps mean β€œno change observed”, never β€œinterpolated”. The vertical axis spans 162–165 and does not start at zero.
Measurement log β€” every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 01:22165+3
13 Aug 2026, 03:53162-1
12 Aug 2026, 11:16163no change
12 Aug 2026, 11:08163first reading

Engagement

20 posts held, back to 17 June 2026 β€” the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR Β· 30 days
22.6%
avg views Γ· 165 subscribers
Avg views / post
37.3
4 posts measured
Reaction rate
1.03%
reactions Γ· views Β· 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) Γ· viewsβ€” 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 2 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days Β· latest post in window 10 August 2026
Posts held20 (17 June 2026 – 10 August 2026)
Views total149
Reactions total1
Forwards / commentsnot exposed by the public surface β€” not measured, not estimated
Readings taken12 Aug 2026, 11:16 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 β€œcorrecting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form β€” 8.12K, 3.7M β€” 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 β€” 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
18s
Average length
18s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel β€” 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 β‰ˆ mark.

Reaction mix

8 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 62.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
πŸ”₯562.5%
❀337.5%

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 β€” πŸ™ is thanks in one channel and mourning in another β€” 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 β€” 4.34K, 1.2M β€” 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 8 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post β€” not by adding up the per-emoji breakdown above β€” those same posts carry 8reactions in total: the kind of figure the paragraph above means by β€œa reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 17 June 2026 to 10 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

10 Aug 2026, 19:04 UTC14 viewsread 12 August 2026

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4 Aug 2026, 18:10 UTC64 views1 reactionsread 12 August 2026
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31 Jul 2026, 11:49 UTC33 views0 reactionsread 12 August 2026
Forwarded from @techdaily_buzzVideo

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26 Jul 2026, 11:07 UTC259 viewsread 12 August 2026
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23 Jul 2026, 07:29 UTC64 viewsread 12 August 2026
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21 Jul 2026, 07:16 UTC52 viewsread 12 August 2026
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18 Jul 2026, 07:52 UTC58 viewsread 12 August 2026
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16 Jul 2026, 15:35 UTC317 views2 reactionsread 12 August 2026
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10 Jul 2026, 14:08 UTC310 views1 reactionsread 12 August 2026
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10 Jul 2026, 06:03 UTC65 viewsread 12 August 2026
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9 Jul 2026, 13:57 UTC86 viewsread 12 August 2026
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Showing the 12 most recent of 20 posts we hold for @tech_empire. 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 β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints views in full below 1,000 and to three significant figures above, so β‰ˆ1,200,000 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 β€” 214,455 of 1,620,105entries in the measured graph. A weighted position computed from the forward and mention edges below β€” republished posts weigh more than named mentions β€” 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 β€” 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 2 registered channels β€” 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 β€” that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason β€” 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 β€” the β€œNamed 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.

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 21 August 2026 β€” this entry's latest reading, not the date you are reading this.

β€œπ“π„π‚π‡ π„πŒππˆπ‘π„β€ (@tech_empire), 165 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/tech_empire.

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 Β· 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.