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Channel

Age Of Geeks

@ageofgeeks_in

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

25,700subscribers

-730 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-1001265826654
TypeChannel
Username@ageofgeeks_in
DescriptionFastest growing community of AI enthusiasts! 🚀
Created9 August 2018 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded7 August 2026
Last confirmed live8 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 8 October 2026
On Telegramt.me/ageofgeeks_in

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

25,70026,43026,0657 August 2026 — 26,430 subscribers7 August 2026 — 26,430 subscribers8 August 2026 — 26,427 subscribers9 August 2026 — 26,410 subscribers10 August 2026 — 26,399 subscribers11 August 2026 — 26,389 subscribers12 August 2026 — 26,376 subscribers13 August 2026 — 26,366 subscribers15 August 2026 — 26,352 subscribers16 August 2026 — 26,339 subscribers17 August 2026 — 26,331 subscribers18 August 2026 — 26,317 subscribers19 August 2026 — 26,306 subscribers20 August 2026 — 26,289 subscribers22 August 2026 — 26,269 subscribers23 August 2026 — 26,253 subscribers25 August 2026 — 26,231 subscribers25 August 2026 — 26,215 subscribers27 August 2026 — 26,208 subscribers28 August 2026 — 26,186 subscribers29 August 2026 — 26,172 subscribers30 August 2026 — 26,169 subscribers31 August 2026 — 26,152 subscribers1 September 2026 — 26,137 subscribers2 September 2026 — 26,121 subscribers3 September 2026 — 26,113 subscribers5 September 2026 — 26,089 subscribers8 September 2026 — 26,057 subscribers11 September 2026 — 26,028 subscribers13 September 2026 — 26,002 subscribers15 September 2026 — 25,997 subscribers16 September 2026 — 25,971 subscribers19 September 2026 — 25,945 subscribers25 September 2026 — 25,869 subscribers4 October 2026 — 25,761 subscribers8 October 2026 — 25,700 subscribers7 August 20268 October 2026
36 measurements spanning 62 days, net -730. 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 25,591–26,540 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
8 Oct 2026, 16:4025,700-61
4 Oct 2026, 03:5725,761-108
25 Sept 2026, 07:3825,869-76
19 Sept 2026, 01:1925,945-26
16 Sept 2026, 19:5725,971-26
15 Sept 2026, 01:4125,997-5
13 Sept 2026, 08:2026,002-26
11 Sept 2026, 11:1826,028-29
8 Sept 2026, 19:5726,057-32
5 Sept 2026, 10:3826,089-24
3 Sept 2026, 16:0226,113-8
2 Sept 2026, 07:2426,121-16
1 Sept 2026, 04:0526,137-15
31 Aug 2026, 03:2826,152-17
30 Aug 2026, 03:0826,169-3
29 Aug 2026, 05:1326,172-14
28 Aug 2026, 02:4626,186-22
27 Aug 2026, 00:5426,208-7
25 Aug 2026, 23:4226,215-16
25 Aug 2026, 02:4726,231first reading

Engagement

27 posts held, back to 14 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 83 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.02%
avg views ÷ 25,700 subscribers
Avg views / post
1,030
3 posts measured
Reaction rate
0.451%
reactions ÷ views · ER floor
Posts in window
3
of 27 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 7 October 2026
Posts held27 (14 November 2025 – 7 October 2026)
Views total3,101
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Oct 2026, 21:29 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
≈632
Videos
≈10
Links
≈1,450

Lifetime counters from Telegram’s own channel header, read 9 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

47 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 63.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3063.8%
🔥1123.4%
👍48.51%
😱24.26%

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 27 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 14 November 2025 to 7 October 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

7 Oct 2026, 04:39 UTC445 views3 reactionsread 9 October 2026

On October 6, 2026, OpenAI published 722 manuscripts in 372 families to a public GitHub repository, covering advances in number theory, algebraic geometry, and theoretical computer science. Standout results include a zero-free region for the Riemann zeta function beyond real part 7/8, called the quasi-Riemann hypothesis there, and an upper bound of 9/4 on the matrix multiplication exponent. Mathematicians like Rutg…

🔥3

30 Sept 2026, 05:48 UTC936 views3 reactionsread 9 October 2026
Photo

20+ announcements by OpenAI, one grid. Save it. ✅

🔥3

15 Sept 2026, 12:44 UTC≈1,720 views8 reactionsread 9 October 2026
File

🧠 Hidden Markov Models (HMMs), explained in 17 pages. A concise PDF covering the intuition, core concepts, and working of HMMs, a great resource for anyone looking to understand probabilistic models better.

❤8

9 Sept 2026, 04:40 UTC≈2,070 views7 reactionsread 9 October 2026
Photo

OpenAI's model has solved a math problem that's been unsolved for 90 years!!!! not gonna lie, we are shook! this was not with GPT-6 Astra. it was some UNRELEASED internal model, "significantly more capable" than anything public rn (they say) Read the details here. 👌

🔥5😱2

7 Sept 2026, 05:08 UTC≈1,850 views3 reactionsread 9 October 2026
Photo

Wanted to encourage everyone to check out and support Tadata’s Product Hunt launch today! The team previously built an open-source project that grew to 70M+ downloads, and they’ve now built Tadata, an AI assistant that lets people delegate real work without having to learn how to build agents. They also made a pretty great launch video that’s worth a watch 😄 https://www.producthunt.com/products/tadata/launches/tad…

❤3

1 Sept 2026, 05:10 UTC≈2,000 views7 reactionsread 9 October 2026
Photo

Google Research has introduced TimesFM-3, a state-of-the-art time series foundation model that enables accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks. More on the blog →https://goo.gle/4x5WGpD

❤5👍2

19 Aug 2026, 05:27 UTC≈2,380 views7 reactionsread 9 October 2026
Photo

Most people use Claude to fix their resume. That's it. That's the whole strategy. We built 6 prompts that go way beyond that. Gap analysis, portfolio picks, salary anchoring, interview prep, outreach. The stuff that actually gets you an offer, not just a nicer-looking PDF. 📌 Save this. Run these before you apply anywhere. 1. The gap finder "I have [X years] experience in [your background] and I'm targeting roles …

❤5👍2

9 Jun 2026, 08:22 UTC≈4,070 views3 reactionsread 9 October 2026

This is an underrated resource. It's a 75 minute (not math heavy) lecture on Post-Transformer BDH architecture, by Jan Chorowski himself! He worked closely with inventors of attention mechanism and is among the top AI researchers in the world! https://youtu.be/GM1cv8xbY2k?si=4C6uqRh8tWNdWqPV

❤3

6 Dec 2025, 04:34 UTC≈5,100 views1 reactionsread 9 October 2026

🗣️ Speechify gets voice typing and a smart assistant Speechify’s Chrome extension now lets you type with your voice and use a voice assistant that can summarize, explain, or guide you through any page. Fast help right where you browse. 👉 Check it out: https://tinyurl.com/9s9rtrmu

❤1

5 Dec 2025, 04:31 UTC≈4,080 views2 reactionsread 9 October 2026

Copilot leaves WhatsApp 💬 Time to move your chats Copilot exits WhatsApp on January fifteen due to new platform rules. Users need to export conversations before the shutdown. 👉 Read the full update: https://tinyurl.com/mr4ex6dx

❤2

4 Dec 2025, 04:32 UTC≈3,300 viewsread 9 October 2026

Creator tool from ex MrBeast strategist 🎥 New spark for creators A tool named Speechify helps creators build scripts, storyboards, and analytics with AI while keeping their voice intact. 👉 Peek inside the tool: https://tinyurl.com/426b4234

Showing the 12 most recent of 27 posts we hold for @ageofgeeks_in. 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.

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 8 October 2026 — this entry's latest reading, not the date you are reading this.

“Age Of Geeks” (@ageofgeeks_in), 25,700 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/ageofgeeks_in.

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.