9 measurements spanning 28 days, net +10. 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 1,679–1,692 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Sept 2026, 18:24
1,690
+4
30 Aug 2026, 19:55
1,686
-2
28 Aug 2026, 05:13
1,688
+1
21 Aug 2026, 17:47
1,687
+1
18 Aug 2026, 16:55
1,686
-3
15 Aug 2026, 07:52
1,689
+7
8 Aug 2026, 23:51
1,682
+2
6 Aug 2026, 07:17
1,680
no change
6 Aug 2026, 03:22
1,680
first reading
Engagement
10 posts held, back to 24 July 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 2 pages 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 10 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 14s
Average length
1m 37s
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
138 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 64.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
89
64.5%
🔥
37
26.8%
😍
7
5.07%
👍
3
2.17%
🦄
2
1.45%
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 10 of the 10 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 326 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 24 July 2026 to 7 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @antonrepponen. 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 10 most recent posts we hold for this entry, published 24 July 2026 to 7 August 2026. 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.
Indirect Flights by Joe Hamilton.
“Raw materials, satellite images, organic textures, brush strokes and architectural fragments are all blended together into a dense panorama extending in all directions. As you pan across the terrain like Google Maps the layers move at different speeds giving the illusion of depth, constantly changing what is hidden and exposed.”
Came across a tweet that posted this image stating “i can’t believe someone solved recipe design decades ago and everyone just decided to ignore it”
This is quite nice actually. The funny thing is it was “solved” by an engineer, not a designer. Michael Chu came up with this format and had a website Cooking for Engineers launched back in 2004.
Take any type of complex information and make its structure visually obvi…
Wrote a short article titled “I don’t see faces” on Substack on the topic I have been thinking for a while: If faces are one of the strongest visual patterns we recognize, why do they appear so rarely in the products and interfaces we use every day?
Camera Restricta by Philipp Schmitt is a speculative camera design that refuses to take photographs in places that have already been photographed too many times.
Using GPS, the camera searches nearby geotagged images online and, if it detects that everyone is taking photos in this location, the camera shows red cross indicator in the viewfinder and refuses to take a photo.
Rather than helping capture more images, t…
Imagine you sit down to design the Google Maps interface, and one day the pin icon you made is acquired by MoMA in New York and enters its permanent collection.
Google Maps Pin (2005) by Jens Eilstrup Rasmussen.
Super Soft (2023) by Willem De Haan
Five compositions based on scenes found in public transport: people leaning against the glass of bus stops and metro windows, squeezing their winter jackets with hair and accessories in between.
Showing the 10 most recent of 10 posts we hold for @antonrepponen. 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
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 2 September 2026 — this
entry's latest reading, not the date you are reading this.
“Repponen” (@antonrepponen), 1,690 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/antonrepponen.
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.