Telegram RegisterThe public register of Telegram

Channel

Rosenkreutz's Chemical Wedding

@chempsycho

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

404subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001239370630
TypeChannel
Username@chempsycho
DescriptionI built cool stuff ai4sci and try to share cool things i saw along the way @RostislavFedorov
Created31 October 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 August 2026
Measurements held2
On Telegramt.me/chempsycho

Growth

4046 Aug 2026, 06:07 — 404 subscribers6 Aug 2026, 19:33 — 404 subscribers6 Aug 2026, 06:076 Aug 2026, 19:33
2 measurements taken within a single day. 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 403–405 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 19:33404no change
6 Aug 2026, 06:07404first reading

Engagement

20 posts held, back to 27 March 2024the 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
43.8%
avg views ÷ 404 subscribers
Avg views / post
177
4 posts measured
Reaction rate
3.11%
reactions ÷ views · ER floor
Posts in window
6
of 20 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 24 July 2026
Posts held20 (27 March 202424 July 2026)
Views total707
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:33 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
111
Videos
6
Links
171

Lifetime counters from Telegram’s own channel header, read 6 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.

Reaction mix

24 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1458.3%
🤯312.5%
28.33%
💯28.33%
😱28.33%
👍14.17%

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 5 of the 20 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 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 27 March 2024 to 24 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

24 Jul 2026, 10:51 UTC97 views3 reactionsread 6 August 2026
Video

We built a web-app to try out opencaltura directly from the browser! openclatura.org

🔥3

Signed Rostislav

16 Jul 2026, 14:49 UTC199 views1 reactionsread 6 August 2026
Video

a small showcase of how it works internally

1

Signed Rostislav

16 Jul 2026, 09:46 UTC204 views9 reactionsread 6 August 2026
Photo

Photo, posted without a caption

🔥5🤯31

Signed Rostislav

16 Jul 2026, 09:46 UTCviews —

Rosenkreutz's Chemical Wedding pinned «I’ve wanted to update this channel for quite a while, but somehow kept postponing it. So, a small update from me: together with Adrian Mirza and Kevin Maik Jablonka at LAMA Lab, we recently released OpenClatura, an open-source tool for deterministic and inspectable…»

16 Jul 2026, 09:45 UTC207 views9 reactionsread 6 August 2026

I’ve wanted to update this channel for quite a while, but somehow kept postponing it. So, a small update from me: together with Adrian Mirza and Kevin Maik Jablonka at LAMA Lab, we recently released OpenClatura, an open-source tool for deterministic and inspectable structure-to-name conversion. In simple terms, it takes a molecular structure and tries to generate a systematic chemical name while also showing how it

🔥6😱2👍1

Signed Rostislav

7 Apr 2025, 08:38 UTC627 viewsread 6 August 2026
Forwarded from @CompChemGroup

🚨 PhD Position in Machine Learning for Orbital-Free Density Functional Theory 🚨 📍 Heidelberg University, Germany The Institute for Theoretical Physics (ITP) and the Interdisciplinary Center for Scientific Computing (IWR) invite applications for a PhD position in physics, focusing on orbital-free density functional theory (OF-DFT) using machine-learned functionals. 🔬 Research Focus: Orbital-free density functional

Signed Rostislav

17 Mar 2025, 15:35 UTC655 views2 reactionsread 6 August 2026

https://www.youtube.com/watch?v=n5nEd600iM0

💯2

Signed Rostislav

27 Oct 2024, 11:48 UTC880 viewsread 6 August 2026
Forwarded from @CompChemGroup

#PhD Dear colleagues, The newly formed Semiconductors and Microelectronic systems (SAM) group at TU Berlin has 2 open PhD positions in Neuromorphic Computing and Hardware for Artificial Intelligence (AI). We’re seeking passionate, self-motivated, and creative researchers eager to design and develop novel materials and devices for bio-inspired sensing and computing. Inspired by the biological brain, our group will

Signed Rostislav

22 Oct 2024, 09:38 UTC742 viewsread 6 August 2026
Forwarded from @molbiolrf

Более 50% ученых покидает науку в течение 10 лет после начала карьеры, из них более 1/3 в течение первых 5 лет после публикации статьи первым автором, причем для женщин эти показатели выше, чем для мужчин. Nature: https://www.nature.com/articles/d41586-024-03222-7 #карьера

Signed Rostislav

9 Oct 2024, 11:35 UTC701 viewsread 6 August 2026

Я тут случайно выяснил, что у нас открыты позиции постдоков в вычислительной биологии, сингл-селл. Позицию пока не рекламили, поэтому есть шанс проконтактировать раньше всех. Особенность в том, что она на 5 лет: это крутая возможность спокойно поделать крутой рисёрч, а заодно и немецкий паспорт получить, если хочется Очень умные люди вокруг, топовая лаба по методам анализа сингл-селла в мире, натуры и ML-конференции

Signed Rostislav

Showing the 12 most recent of 20 posts we hold for @chempsycho. 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 — 934,582 of 1,151,006entries 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

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 2 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.

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

“Rosenkreutz's Chemical Wedding” (@chempsycho), 404 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/chempsycho.

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.