Telegram RegisterThe public register of Telegram

Channel

HUCISA - Haramaya University Computing and Informatics Students' Association

@hucisa

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

1,948subscribers

-2 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-1002239850641
TypeChannel
Username@hucisa
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/hucisa

Growth

1,9481,9511,949.57 August 2026 — 1,950 subscribers7 August 2026 — 1,950 subscribers8 August 2026 — 1,951 subscribers11 August 2026 — 1,948 subscribers7 August 202611 August 2026
4 measurements spanning 4 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 — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,948–1,951 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 12:181,948-3
8 Aug 2026, 06:321,951+1
7 Aug 2026, 15:021,950no change
7 Aug 2026, 14:591,950first reading

Engagement

15 posts held, back to 3 June 2026the 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 · 30 days
32.6%
avg views ÷ 1,948 subscribers
Avg views / post
634
4 posts measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
4
of 15 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 3 of 4 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 3 August 2026
Posts held15 (3 June 20263 August 2026)
Views total2,537
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 15:02 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
9s
Average length
9s

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

79 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 65.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5265.8%
👍1215.2%
🔥1012.7%
🥰33.80%
11.27%
👏11.27%

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 13 of the 15 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 79reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 3 June 2026 to 3 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

3 Aug 2026, 11:06 UTC289 views12 reactionsread 7 August 2026
Forwarded from @sofomartechPhoto

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12

30 Jul 2026, 15:34 UTC517 viewsread 7 August 2026
Forwarded from @Amir_Ahmed_Channel

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Signed Amir Ahmed

21 Jul 2026, 21:18 UTC747 views7 reactionsread 7 August 2026
Forwarded from @Amir_Ahmed_ChannelPhoto

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👍43

Signed Amir Ahmed

21 Jul 2026, 16:28 UTC984 views8 reactionsread 7 August 2026
Photo

Remote Internship : 1. Junior Flutter Developer 2. Junior FullStack Developer * a Good opportunity to learn how to publish app to Google Play Console, and Deploy fullstack app to a server or VPS. To Apply - Read the Requirements : sofomartechnologies.com/careers Sof Omar Technologies @sofomartech

🔥8

12 Jul 2026, 17:39 UTC≈1,280 views0 reactionsread 7 August 2026
Photo

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4 Jul 2026, 19:37 UTC883 views5 reactionsread 7 August 2026
Forwarded from @CursorCommunityEthPhoto

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5

Signed Elodie_mah

27 Jun 2026, 19:21 UTC≈1,460 views11 reactionsread 7 August 2026

🎓 Congratulations to all HUCISA graduates! 🎉 Today is a day of pride, celebration, and achievement. Congratulations to every graduate of HUCISA! Your hard work, dedication, sleepless nights, and perseverance have finally paid off. This graduation is not just the end of one journey but the beginning of a new chapter filled with opportunities and dreams. I am truly happy for each and every one of you. May your knowle

8🥰3

26 Jun 2026, 09:02 UTC≈1,180 views7 reactionsread 7 August 2026
Forwarded from @Miftahtech

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👍42👏1

22 Jun 2026, 21:40 UTC≈1,790 views1 reactionsread 7 August 2026

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1

Signed Jemal Gebi Geleto

18 Jun 2026, 09:29 UTC≈2,230 views6 reactionsread 7 August 2026

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5👍1

18 Jun 2026, 06:26 UTC≈1,770 viewsread 7 August 2026

INSA Cyber talent 2026 summer camp registration https://docs.google.com/forms/d/e/1FAIpQLSc27I1YJxNJMIZJuGy_VQA71w8nHyPdlV4CjBArS8T7tLI6BQ/viewform

8 Jun 2026, 06:32 UTC≈2,150 views10 reactionsread 7 August 2026

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7🔥21

Showing the 12 most recent of 15 posts we hold for @hucisa. 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 — 714,361 of 1,183,361entries 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.

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

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.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“HUCISA - Haramaya University Computing and Informatics Students' Association” (@hucisa), 1,948 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/hucisa.

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.