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 19 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
8 measurements spanning 42 days, net -9. 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 951–966 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 19:57
954
+1
10 Sept 2026, 14:36
953
-3
1 Sept 2026, 08:46
956
-4
24 Aug 2026, 08:16
960
-4
16 Aug 2026, 08:22
964
+2
8 Aug 2026, 00:47
962
no change
8 Aug 2026, 00:00
962
-1
7 Aug 2026, 12:25
963
first reading
Engagement
13 posts held, back to 14 December 2024 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 14 August 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
35s
Average length
35s
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
283 reactions across 12 posts, in 10 distinct kinds. The most used accounts for 48.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
136
48.1%
👍
43
15.2%
⚡
34
12.0%
👏
24
8.48%
❤
22
7.77%
custom 4902346560089621481
18
6.36%
✍
3
1.06%
👀
1
0.353%
👌
1
0.353%
😢
1
0.353%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 12 of the 13 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 283 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 14 December 2024 to 14 August 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 13 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @TheKerVerse. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 13 most recent posts we hold for this entry, published 14 December 2024 to 14 August 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Hey everyone!
I rolled out the initial version of Evolute last week
Thinking about hosting a hackathon around it with a prize pool, would you be in?
If we get enough competitors, I’d love to make it happen!
GitHub: https://github.com/kerodkibatu/Evolute
NuGet: https://www.nuget.org/packages/Evolute
I'm so stoked to be building a new open-source library in C# called Evolute, designed to simulate evolutionary processes in code. I've been brainstorming how to use it for Machine Learning stuff, and I think it would be awesome to add support for NeuroEvolution of Augmenting Topologies (NEAT) algorithm.
Ethiopia’s 7-Month-Old Rising Star, Better Auth, Joins Y Combinator, Secures $500,000
Better Auth, a 7-month-old open-source authentication framework for TypeScript, developed by two Ethiopians, has been selected for Y Combinator's Spring 2025 Cohort, securing $500,000 in seed funding.
https://shega.co/news/ethiopias-7-month-old-rising-star-better-auth-joins-y-combinator-secures-500000
I'm thrilled to announce the release of TorchImage, a new .NET library that I've been working on! 🎉
TorchImage integrates powerful image processing capabilities into TorchSharp powered by the ImageSharp Library, making it easier to work with image data in machine learning and computer vision projects. Whether you're dealing with PNGs, JPGs, GIFs etc., TorchImage has got you covered! It also comes with a default prev…
Just built a simple classification model in C# using TorchSharp to classify the Iris dataset! Perfect introduction for anyone looking to dive into machine learning with .NET. Includes data loading(from a CSV file), training, evaluation, and model saving. Check it out and start learning today!
👩💻 Repo: Link
#MachineLearning #TorchSharp #CSharp
@TheKerVerse
NVIDIA released their RTX 50 series GPUs.
Jensen Huang says the RTX 5070's faster than the 4090, but I bet that's mostly because of AI upscaling and frame generation, not pure power. Still, it's a graphics card, so technically they're not being shady lol
Check this video out for more details.
🎁✨ Secret Santa Reveal! ✨🎁
This year for our Telegram Secret Santa, I had the honor of being @bes0king’s Secret Santa! Instead of a traditional gift, I went for something digital – but not your everyday kind of gift.
After some deep research (and asking around), I found out he’s passionate about sharing new resources and loves exploring tech. So, I thought – what better gift than giving him the same energy he share…
@epohul was my Secret Santa and She got me this book called "Life 3.0"! It's been a while since I read a physical book, Hopefully this can be the start of many more to come!
Thank you and Merry Christmas!🎄
#TelegramSecretSanta2025
@TheKerVerse
I'm finally back in Addis, looking for more projects to get involved in and more types of content, If y'all have any suggestions please drop it down in the comments below!
It's been over a year and I'm still stuck below 1K, gotta fix that lol
I had the opportunity to meet with Adam Treat, the creator of GPT4All, one of the initial tools enabling local LLM development.
The cool thing is, it's all open-source, super easy to use, and has a great user experience. So if you wanna start playing around with or building w/ Local LLMs, you should totally check out GPT4All!
#GPT4All #AISummit@TheKerVerse
@TheKerVerse
👍9🔥5⚡3
Showing the 12 most recent of 13 posts we hold for @TheKerVerse. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
GAST Cinema 🎥🍿 @gastcinema · 66,621 Telegram ranks this channel #10 of 59 here — alongside 58 others — read 21 August 2026
CodeHype 🚀 @codehype · 23,630 Telegram ranks this channel #19 of 74 here — alongside 73 others — read 17 September 2026
GitHub repos @github_repos · 27,297 Telegram ranks this channel #21 of 76 here — alongside 75 others — read 11 September 2026
Global Dreams @Global_Dreamss · 30,191 Telegram ranks this channel #21 of 72 here — alongside 71 others — read 7 September 2026
Maroset News @MarosetNews · 30,950 Telegram ranks this channel #21 of 57 here — alongside 56 others — read 6 September 2026
Maroset @Maroset · 60,972 Telegram ranks this channel #23 of 69 here — alongside 68 others — read 22 August 2026
Front End World @front_end_first · 25,950 Telegram ranks this channel #26 of 90 here — alongside 89 others — read 13 September 2026
Moh-Anbessa 👑 @mohanbessa · 26,137 Telegram ranks this channel #36 of 64 here — alongside 63 others — read 14 September 2026
AASTU_OFFICIAL @pir2011 · 25,853 Telegram ranks this channel #49 of 68 here — alongside 67 others — read 13 September 2026
ሰሌዳ | Seleda @seledadotio · 52,821 Telegram ranks this channel #53 of 70 here — alongside 69 others — read 24 August 2026
LinkUp Addis @LinkUpAddis · 25,427 Telegram ranks this channel #57 of 67 here — alongside 66 others — read 14 September 2026
AWAQI | አዋቂ ኢትዮጵያ @awaqiethiopia · 103,297 Telegram ranks this channel #58 of 77 here — alongside 76 others — read 15 August 2026
Vent Here @vent_here · 47,414 Telegram ranks this channel #60 of 65 here — alongside 64 others — read 26 August 2026
ኦርቶዶክስ ተዋሕዶ ጥያቄና መልስ @orthotew · 25,273 Telegram ranks this channel #62 of 69 here — alongside 68 others — read 14 September 2026
EBM (Ethioblackmarket.com) @ethioblackmarketcom · 45,778 Telegram ranks this channel #62 of 71 here — alongside 70 others — read 27 August 2026
Ethiopian Business Daily @Ethiopianbusinessdaily · 41,641 Telegram ranks this channel #63 of 68 here — alongside 67 others — read 29 August 2026
Opportunity Alerts📢 @opportunity_alerts · 25,690 Telegram ranks this channel #70 of 78 here — alongside 77 others — read 14 September 2026
AAU-Official @aau_official · 47,904 Telegram ranks this channel #77 of 77 here — alongside 76 others — read 28 August 2026
This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“KerVerse” (@TheKerVerse), 954 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/TheKerVerse.
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.