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 12 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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 the other topics.
Growth
23 measurements spanning 89 days, net -127. 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 6,916–7,202 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
4 Nov 2026, 13:04
6,951
+2
1 Nov 2026, 19:30
6,949
-15
29 Oct 2026, 21:56
6,964
-3
26 Oct 2026, 17:45
6,967
-12
23 Oct 2026, 11:09
6,979
-23
20 Oct 2026, 03:51
7,002
-11
17 Oct 2026, 12:50
7,013
-22
14 Oct 2026, 13:26
7,035
-25
11 Oct 2026, 00:20
7,060
-51
5 Oct 2026, 02:41
7,111
-58
25 Sept 2026, 22:37
7,169
+81
15 Sept 2026, 15:41
7,088
+56
11 Sept 2026, 17:57
7,032
+11
7 Sept 2026, 09:14
7,021
-6
2 Sept 2026, 09:44
7,027
-17
29 Aug 2026, 22:55
7,044
-33
26 Aug 2026, 16:52
7,077
-16
23 Aug 2026, 12:12
7,093
-5
17 Aug 2026, 12:12
7,098
-10
14 Aug 2026, 03:47
7,108
first reading
Engagement
45 posts held, back to 20 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.4%
avg views ÷ 6,951 subscribers
Avg views / post
859
7 posts measured
Reaction rate
1.88%
reactions ÷ views · ER floor
Posts in window
7
of 45 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
Window
Rolling 30 days · latest post in window 2 November 2026
Posts held
45 (20 June 2026 – 2 November 2026)
Views total
6,011
Reactions total
113
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 14:03 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
275
Videos
78
Links
242
Lifetime counters from Telegram’s own channel header, read 4 November 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
7m 04s
Average length
35s
Measured directly from 12 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
987 reactions across 44 posts, in 43 distinct kinds. The most used accounts for 21.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
214
21.7%
👍
141
14.3%
😁
115
11.7%
🔥
113
11.4%
🍌
36
3.65%
🍓
35
3.55%
💯
35
3.55%
🤣
32
3.24%
👏
28
2.84%
🫡
28
2.84%
👌
26
2.63%
🦄
21
2.13%
✍
15
1.52%
❤🔥
15
1.52%
👾
14
1.42%
custom 5472146462362048818
12
1.22%
😨
11
1.11%
⚡
10
1.01%
😎
9
0.912%
custom 5372981976804366741
8
0.811%
23 further kinds
69
6.99%
Custom emoji. 2 of the rows above are 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 counts beside them are 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 45 of the 45 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 987 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 20 June 2026 to 2 November 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
Telegram’s own ‘edited’ marker: 0 of 7 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Google stock is down because of AI answers. Your web-traffic is down because of AI answers
Reddit’s CEO just said that Google still crawls Reddit. But AI Mode doesn’t send anyone back 😳
20 years of one deal. You write. Google sends people. You get paid
Now:
• Reddit lost 1M+ Google referrals per week in October
• AI Overviews cut clicks to the #1 result by 58% (Ahrefs)
• Reddit stock fell 29% on Friday. Alphabet l…
Plenty of people fly to Web Summit and never see the expo. Don’t even buy a ticket. They come for the evenings. 100+ side events across Lisbon. That’s where the networking happens. And the money
I’m hosting one of the biggest. 300+ founders, investors, senior executives. Sold out the last 3 years. Future Unicorns Party by Zubr Capital. 3 entrepreneurs on stage, me asking the questions
• Arkadiy Dobkin, Founder, EP…
Attention is collapsing. 3 years ago, an Instagram/TikTok video got 6 seconds. Now 3,5. Next year — 2?
My guest doesn't blink: "If you think that you're able to build a brand in less than 2 seconds, you are fooling yourself." 5M impressions? "That doesn't mean anything." Success is measured "through belonging"
AI agents as the community members? "B2B is business to bots." They now shop for real people, scrape for r…
I keep meeting founders who shipped 50 features in a month and can't name one user who asked for any of that. Most vibecoders don't get that features should come from demand, not from the fact that you can build them
Talk to 5 freaking customers before you open Cursor! It's the slow part, but it's the only part that still pays
[Related post: Vibecoding Day 2]
#vibecoding #buildinpublic #startups
A year ago, an AI co-founder sounded like clickbait. Today it might be the baseline of the startup playbook for 2027
Live at BelTech 4.0 in Warsaw: Yury Melnichek and Alexander Chekan. Belarus-born, building for the global market.
- Why an AI co-founder still can't replace a human one
- Solo founders and single-person companies
- Is B2B SaaS dead?
- Where's the moat when anyone can build anything?
Watch on YouTube…
DevFest Cyprus 2026. Saturday, 31 October 🚀
Full day of tech talks by GDG Cyprus. Yes, it’s still beach weather. Go anyway :)
• Speakers from Google, Plum, MongoDB and more
• AI, cloud, modern software dev
• Hands-on workshop run by a Googler
Senior dev, first job, or just curious. All welcome. Registration 👈
#DevFest #GDGCyprus #DevFestCyprus
Boot-strapping vs Seed-strapping? $50K + vibecoding instead of $500K. What happens to investor's math now? "Vibe revenue" in late-stage rounds. The founder is a future investor…
Played golf with Oleg Khusaenov, Zubr Capital. 18 holes at Minthis, Paphos ⛳ Episode in November on Naturally Artificial
#PrivateEquity #ZubrCapital
Next Thursday I'm talking AI in a UNESCO amphitheatre. Free entry. Which means academics, founders and corporates all show up
ECT Forum (European Competencies & Technologies). One day on what AI is doing to skills, education and jobs. Spoiler: a lot
• AI
• VR and AR
• Robotics and automation
• Big data
• IoT
• 3D printing
My panel is AI in Business: From Experiment to Useful Change. Around 2pm. Post-lunch slot. I'l…
3rd AI Hackathon is done. 16 teams. 120 people. 4 minutes per pitch at the end of the day
Winner: Last Bite. Surplus food from restaurants, bakeries, grocery stores, sold to customers at a fraction of the price. Food waste, solved by a marketplace
The difference from previous hackathons is prototype quality. Hello, vibecoding
• Half the teams ran out of time on the pitch
• A third couldn't say what they actually wa…
👍7🎉3🦄2🙏2❤1
Showing the 12 most recent of 45 posts we hold for @naturally_artificial. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 45 most recent posts we hold, published 20 June 2026 to 2 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
🤖 Claude | GPT-6 | Deepseek | Gemini👨🏻💻 @gpt_anthropic · 24,631 Telegram ranks this channel #28 of 85 here — alongside 84 others — read 14 September 2026
Ai Motion News • AI & Neural Networks @AiMotionNews · 27,580 Telegram ranks this channel #51 of 80 here — alongside 79 others — read 8 September 2026
Hi, AI • Tech News @hiaimediaen · 571,505 Telegram ranks this channel #55 of 83 here — alongside 82 others — read 9 August 2026
This channel appears in 3 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Naturally Artificial by Sergey Osipov” (@naturally_artificial), 6,951 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/naturally_artificial.
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.