Telegram RegisterThe public register of Telegram

Channel

Hackathon NGO

@hackathon_ngo

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

52subscribers

+0 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002947140004
TypeChannel
Username@hackathon_ngo
DescriptionSupport us: https://hackathon.ngo/hy/donate Join Hackathons: https://hacklab.hackathon.ngo/
Created19 August 2025measured — dated from the channel’s first post
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held2
On Telegramt.me/hackathon_ngo

Growth

528 August 2026 — 52 subscribers10 August 2026 — 52 subscribers8 August 202610 August 2026
2 measurements spanning 2 days. 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 51–53 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 10:1652no change
8 Aug 2026, 10:0352first reading

Engagement

11 posts held, back to 19 August 2025the 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
73.1%
avg views ÷ 52 subscribers
Avg views / post
38.0
1 post measured
Reaction rate
7.89%
reactions ÷ views · ER floor
Posts in window
1
of 11 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 21 July 2026
Posts held11 (19 August 202521 July 2026)
Views total38
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 10:16 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.

What this channel posts

Photos
6
Videos
2
Links
7

Lifetime counters from Telegram’s own channel header, read 10 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.

Video runtime
1m 58s
Average length
59s

Measured directly from 2 videos 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

40 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2460.0%
🔥1537.5%
👍12.50%

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 9 of the 11 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 19 August 2025 to 21 July 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

21 Jul 2026, 11:03 UTC38 views3 reactionsread 10 August 2026
Forwarded from @ai9campusPhoto

Applications are officially open. 🚀 Hack Armenia is a 24-hour AI hackathon where builders come together to solve a real-world challenge using LLMs. Hosted by AI9 Startup Campus and the Armenia LLM Summer School, the hackathon takes place immediately after the Summer School, bringing together its participants and the broader AI community for an intensive weekend of building. This year's theme Evaluate. Reason. Gene

2🔥1

26 Jun 2026, 13:39 UTC241 views3 reactionsread 10 August 2026

Hey everyone 👋 Sharing an interesting opportunity for AI builders, engineers, and students. Hack Nation 6th Global AI Hackathon is happening soon - a 24-hour global AI hackathon where participants build AI products, collaborate with others, and pitch their solutions. The local hub will be hosted at TUMO Labs. I highly recommend participating, as the format is interesting and there is an opportunity to win prizes a

3

4 May 2026, 11:53 UTC106 views4 reactionsread 10 August 2026

Hey people 👋! Ready for next hackathon? We’re hosting the BitGN E-commerce Agent Challenge here in Yerevan. Let’s see if your AI can handle the high-stakes pressure of online shopping (and hopefully not bankrupt you in the process 💸). The Essentials: - When: 30 May, 2026 - Where: online and on place (details will be provided) - The Mission: Build an e-commerce agent. Survive the dev benchmark, hit the Prod Benchmar

🔥4

12 Apr 2026, 11:07 UTC460 views9 reactionsread 10 August 2026
Photo

We loved hosting the global BitGN Agentic AI Challenge right here in Yerevan, it was an absolute blast. 🚀🇦🇲 Global Impact: We tackled a high-stakes Agentic AI benchmark alongside the rest of the world. Serious Fun: Intense coding sessions fueled by great vibes and even better people. Community: Showcasing the incredible talent we have right here in Armenia. Don’t miss out on the next one, follow us to stay in the

8👍1

11 Apr 2026, 07:17 UTC102 views1 reactionsread 10 August 2026

Hey everyone 👋 A quick note on how to get to the venue. 📍 Location: National Academy of Sciences of Armenia, Yerevan Address: Baghramyan Avenue, 24B 🗺 Google Maps: https://maps.app.goo.gl/QeT6oayQAcmpiPqv8 We are also attaching a short video showing how to reach the place. See you there.

1

9 Apr 2026, 12:54 UTC96 views6 reactionsread 10 August 2026

Hey people 👋, maybe you missed our previous announcements, so I am sending this to you as well, if you are interested we will be happy to see you on Saturday. We’re hosting the BitGN PAC on-site in Yerevan, and it’s going to be a blast. Let’s see if your code can handle the pressure (and the pizza). The Essentials: When: Saturday, April 11, starting at 14:00. Where: National Academy of Sciences of Armenia, Yereva

🔥6

18 Mar 2026, 11:24 UTC494 views8 reactionsread 10 August 2026

Hey 🖖 We have perfect opportunity for you, on April 11 we will host global challenge/hackathon in Yerevan. The topic is Personal and Trustworthy Autonomous AI Agents In few words ~600 AI Engineers will come together online to create Safe Autonomous AI Agents to pass new Benchmark created by BitGN. For more details and registration check: https://hacklab.hackathon.ngo/bitgn-personal-trustworthy-agent-challenge/ You

6🔥2

9 Nov 2025, 18:08 UTC151 views5 reactionsread 10 August 2026
Photo

🌿 Հայտնի են «AI4Biodiversity: AI Solutions for Nature» ազգային հեքըթոնի հաղթողները։ 🏆 1-ին տեղ – Solo Coder 💰 1,500,000 դրամ 🥈 2-րդ տեղ – Pycodex 💰 1,200,000 դրամ 🥉 3-րդ տեղ – ԹիմՈւր (TeamUr) 💰 800,000 դրամ Հաքաթոնը կազմակերպվել է Քայթլաբի, EIF և WiCE-ի կողմից, Հիմնական գործընկերն է IDBank-ը, տեխնոլոգիական գործընկերը՝ Yandex Armenia-ն։ Իրականացմանը աջակցել են «Հաքաթոն» ՀԿ-ն և «Սիրանուշ Գիրիչյովա և ընտանիք»-ը

3🔥2

9 Nov 2025, 18:06 UTC114 viewsread 10 August 2026
Video

Opening of the national hackathon “AI4Biodiversity: AI Solutions for Nature.

Showing the 11 most recent of 11 posts we hold for @hackathon_ngo. 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 — 587,554 of 1,160,990entries 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

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

“Hackathon NGO” (@hackathon_ngo), 52 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/hackathon_ngo.

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.