Channel
@datasanity
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
278subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002317855500 |
|---|---|
| Type | Channel |
| Username | @datasanity |
| Description | Upcoming events: https://datasanity.dev/ Join conversation: https://t.me/datasanity_chat |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/datasanity |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 08:34 | 278 | no change |
| 7 Aug 2026, 19:16 | 278 | first reading |
10 posts held, back to 2 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 30 July 2026 |
|---|---|
| Posts held | 10 (2 June 2026 – 30 July 2026) |
| Views total | 1,193 |
| Reactions total | 20 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 08:34 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.
Lifetime counters from Telegram’s own channel header, read 8 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.
81 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 70.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 57 | 70.4% | |
| 🔥 | 20 | 24.7% | |
| 👍 | 2 | 2.47% | |
| ⚡ | 1 | 1.23% | |
| 👏 | 1 | 1.23% |
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 81reactions 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 2 June 2026 to 30 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.
Data Sanity Coffee in Belgrade — this Saturday 11 am ☕️ Come to chat about AI events over a cup of coffee (or any other beverage): ☕️ How to get the most out of an AI event? ☕️ Are big commercial AI events worth it? ☕️ Best/worst AI events you've attended. ☕️ Perspectives: participant vs speaker vs organizer. ☕️ Have you organized — or do you want to organize — an event? And, as usual, we'll exchange AI news and di…
❤10🔥4
Data Sanity London Talks is already tomorrow — meet our last speaker! 🎙 Keeping Financial AI Agents Honest: A Product Playbook from Sage Speaker: Yasi Jabbari, AI Product Lead @ Sage Financial agents are easy to demo and hard to productise. Using the question “Why did my profit drop?” as a thread, this talk shares a practical product playbook for turning model capability into trustworthy agent behaviour. Yasi will…
⚡1🔥1
Here is the third speaker for the Data Sanity London Talks this Thursday! 🎙 AI-Driven Participation in Kaggle Competitions Speaker: Andrey Lukyanenko, Kaggle Grandmaster, ML Engineer @ Meta Can you hand a Kaggle competition to AI agents? Surprisingly, yes — but there are some caveats. Andrey will walk us through real competitions where agents wrote code, ran long experiments, and achieved strong results, while als…
👍2🔥1
Meet our second speaker for the upcoming Data Sanity London Talks! 🎙 Qwen-Only Conversational AI Agents Speaker: Stas Bichenko, CEO @ Recombine AI agents capable of natural, human-level conversation have typically required closed-source, proprietary models. However, with the release of the latest Qwen models, it's now possible to build high-quality conversational systems using fully open-source, locally deployed m…
🔥1
Here is the first speaker for Data Sanity London Talks! 🎙 It's All Fun and Games Until You Deploy It in Production Speaker: Maria Matveeva, AI Team Lead @ AdTech Holding Maria's team built an LLM-powered onboarding agent to help advertisers launch and edit campaigns faster, and the prototype looked great. Then real users showed up. The token budget evaporated in days, innocent-looking prompts pried open surprising…
🔥6
Data Sanity London Talks: Let's talk AI agents on 23 July! Data Sanity has partnered with Sage to bring together AI industry experts and enthusiasts at a free knowledge-sharing event in London. Here's what awaits you: 🎤 4 talks by leading AI speakers 👥 Networking with 100 professionals ☕️ Coffee and snacks to keep you fuelled Talks: > It's All Fun and Games Until You Deploy It in Production — Maria Matveeva, AdTec…
❤5🔥1
Just a few photos from our last casual event Outro To AI Agents ✨ Presented projects: ⚡️ Assistive Vision and Screen Reader Agent for Blind Users — Team "Enlightenment" ⚡️ Bioinformatics Sequence Investigator — Team "Supersheep" ⚡️ Job Interview Coach — Team "AM Best Offer" We're currently busy preparing Data Sanity Talks London, but we'll be back with more events in Belgrade this autumn. Stay tuned! P.S. Huge tha…
❤14🔥1
We're extending our call for speakers for Data Sanity Talks London until June 11, 23:59. Why give a talk on AI agents: > You'll help the AI community distinguish real insights from hype. > Your talk will be recorded and promoted on our channels. > You'll received a special fancy badge and an extra cookie! 🔗 Apply to become a speaker (by June 11, 23:59) 🔗 Details P.S. Thanks to everyone who has already applied — we…
🔥3
Call for Speakers: Data Sanity Talks London, July 23 Are you an expert on AI agents? Apply to give a talk with practical insights on building agentic systems at Data Sanity Talks, an international conference happening on July 23 in London. Your talk can be deeply technical or aimed at a broader audience — the main criterion is that it's up-to-date and useful! Application deadline: June 7, 23:59 CET 🔗 Apply to beco…
❤5🔥2👏1
Intro to AI Agents: It's been quite a journey! 200 people applied to the course, and 100 joined us for this journey. Over the past two months, we went through 7 lectures with hands-on workshops, 6 quizzes, 2 homework assignments, and 1 collaborative project. 23 project teams (~65 people) made it to the final project presentations. Three projects were presented during AI Week Belgrade 2026: ⚡️ Supersheep — Bioinform…
❤23
Showing the 10 most recent of 10 posts we hold for @datasanity. 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 — 1,412,382 of 1,481,346entries 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.
Named by 1 registered channel — 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Data Sanity Talks” (@datasanity), 278 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/datasanity.
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.