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Channel

NUS Hackers

@nushackers

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

10,780subscribers

+374 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001147981175
TypeChannel
Username@nushackers
CreatedBetween 1 March 2017 and 31 May 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/nushackers

Growth

10,40610,78810,5977 August 2026 — 10,406 subscribers7 August 2026 — 10,406 subscribers8 August 2026 — 10,412 subscribers9 August 2026 — 10,419 subscribers10 August 2026 — 10,442 subscribers11 August 2026 — 10,448 subscribers12 August 2026 — 10,607 subscribers13 August 2026 — 10,728 subscribers14 August 2026 — 10,768 subscribers16 August 2026 — 10,784 subscribers17 August 2026 — 10,783 subscribers18 August 2026 — 10,777 subscribers19 August 2026 — 10,781 subscribers20 August 2026 — 10,788 subscribers21 August 2026 — 10,782 subscribers23 August 2026 — 10,777 subscribers25 August 2026 — 10,780 subscribers10,7807 August 202625 August 2026
17 measurements spanning 17 days, net +374. 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 10,349–10,845 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 00:0310,780+3
23 Aug 2026, 11:0310,777-5
21 Aug 2026, 19:0610,782-6
20 Aug 2026, 18:0810,788+7
19 Aug 2026, 17:4110,781+4
18 Aug 2026, 20:4710,777-6
17 Aug 2026, 20:1710,783-1
16 Aug 2026, 16:2310,784+16
14 Aug 2026, 21:1710,768+40
13 Aug 2026, 14:3810,728+121
12 Aug 2026, 15:3410,607+159
11 Aug 2026, 15:1710,448+6
10 Aug 2026, 15:5310,442+23
9 Aug 2026, 14:1310,419+7
8 Aug 2026, 14:0310,412+6
7 Aug 2026, 16:3010,406no change
7 Aug 2026, 16:2410,406first reading

Engagement

33 posts held, back to 13 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 30 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.7%
avg views ÷ 10,780 subscribers
Avg views / post
3,200
18 posts measured
Reaction rate
0.361%
reactions ÷ views · ER floor
Posts in window
19
of 33 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 17 of 18 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 25 August 2026
Posts held33 (13 April 202625 August 2026)
Views total57,650
Reactions total197
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Aug 2026, 19:26 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

Photos
495
Videos
16
Links
669

Lifetime counters from Telegram’s own channel header, read 25 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

298 reactions across 27 posts, in 14 distinct kinds. The most used accounts for 60.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18160.7%
🔥8729.2%
🤯113.69%
🍾72.35%
🍌20.671%
👀20.671%
10.336%
🌭10.336%
👍10.336%
💯10.336%
😎10.336%
😡10.336%
🤣10.336%
🥰10.336%

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 29 of the 33 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 298reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 13 April 2026 to 25 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

25 Aug 2026, 10:51 UTC≈1,300 views1 reactionsread 25 August 2026

We are starting our Introduction to Terminal + Vim workshop in 10mins!

🔥1

25 Aug 2026, 07:12 UTC≈1,960 views7 reactionsread 25 August 2026

Hi everyone, just a reminder Hackerschool Week 3: Introduction to Terminal + Vim will be happening tonight! (p.s. taking CS2030S? you may find this workshop particularly useful!) 🗓 Tuesday, 25 August 7:00-9:00 pm 📍 SR13 @ COM3-01-22 🥤 Refreshments will be served! 👉 NUS: Sign up here 👉 Non-NUS: Sign up here

7

23 Aug 2026, 10:39 UTC≈2,420 views18 reactionsread 25 August 2026
Photo

Hackerspace Week 3: Hackception What happens at a hackathon... about hackathons? Join us for Hackception, a chill and low-stakes mini hackathon where you can make friends with fellow hackers and build ideas to make hackathons better! Think managing participants, improving judging, visualising hackathon activity, or any ideas you can dream up. No need to come with a team or a fully formed idea, just come ready to b

🔥171

23 Aug 2026, 10:19 UTC≈2,300 views11 reactionsread 25 August 2026
Photo

Hackerschool Week 3: Introduction to Terminal + Vim 🗓 Tuesday, 25 August 7:00-9:00 pm 📍 SR13 @ COM3-01-22 🥤 Refreshments will be served! "Why do people keep using Vim? Because they can't figure out how to quit!" Join us for our second Hackerschool session this semester as we explore how to navigate your way around a Unix shell and see how we can leverage small but powerful tools to supercharge your productivity, a

7🔥4

21 Aug 2026, 15:11 UTC≈2,700 views8 reactionsread 25 August 2026

Here are the recordings to this week's Friday Hacks: • Evaluating AI Agents @ Airwallex: link • LiquidJS - Building and Growing Open Source: link

8

21 Aug 2026, 10:36 UTC≈2,770 views8 reactionsread 25 August 2026
Photo

We'll be having our Friday Hacks here at COM3-01-21 (SR12), and our first talk will be starting at 7pm ✨ . See you there! 👀

🍾71

21 Aug 2026, 02:29 UTC≈2,840 views3 reactionsread 25 August 2026

Reminder: Sign up for Friday Hacks today to learn about the agent behind Airwallex and Liquid JS, an open-source template engine with 1.9k+ GitHub stars. 📅 Fri, 21 August, 7PM 📍 COM3 SR12 🍕🧋will be served! 🦁 NUS Sign up HERE! 🦄 Non-NUS Sign up HERE!

3

20 Aug 2026, 03:41 UTC≈3,120 views0 reactionsread 25 August 2026

Hi everyone, a new sign up link has been added for NUS Students. Please do use the new link if you have not already signed up. In the case that you already signed up using Luma, no further action is needed. We look forward to seeing all of you tomorrow for the first Friday Hacks of this semester!

20 Aug 2026, 02:01 UTC≈3,330 views23 reactionsread 25 August 2026
Photo

Friday Hacks #297 📅 Fri, 21 August, 7PM 📍 COM3 SR12 🍕🧋will be served! 🦁 NUS Sign up HERE! 🦄 Non-NUS Sign up HERE! Talk 1: Evaluating AI Agents @ Airwallex by James Li How do you know an agent is genuinely ready to ship? This sharing details the evaluation loop behind Kai, Airwallex's AI agent. Speaker Profile: James Li is an Engineering Manager in AI at Airwallex, leading the team behind Kai. He is also joined by

🔥139😡1

18 Aug 2026, 05:56 UTC≈3,320 views4 reactionsread 25 August 2026

Hi everyone! Just a friendly reminder our very first Hackerschool this semester will be happening tonight! Signups are still opened! Hackerschool Week 2: Introduction to Python 🗓 Tuesday, 18 August 7:00-9:00 pm 📍 SR13 @ COM3-01-22 🥤 Refreshments will be served! 👉 NUS: Sign up here 👉 Non-NUS: Sign up here

4

Showing the 12 most recent of 33 posts we hold for @nushackers. 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 — 242,211 of 1,602,868entries 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.

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

“NUS Hackers” (@nushackers), 10,780 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/nushackers.

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.