Channel
@gdfconf
On this record: Growth · Engagement · Reactions · Posts · Declared links · Cite this entry
304subscribers
+17 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002358476867 |
|---|---|
| Type | Channel |
| Username | @gdfconf |
| 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 | 4 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/gdfconf |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 01:01 | 304 | +10 |
| 28 Aug 2026, 14:54 | 294 | +4 |
| 21 Aug 2026, 14:15 | 290 | +3 |
| 8 Aug 2026, 17:33 | 287 | no change |
| 8 Aug 2026, 10:47 | 287 | first reading |
20 posts held, back to 15 March 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 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 20 posts for this entry, the most recent from 3 April 2026. An engagement rate over an empty window would be a number about nothing.
20 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 65.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 65.0% | |
| 👍 | 5 | 25.0% | |
| 👏 | 2 | 10.0% |
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 11 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 20 reactions 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 15 March 2026 to 3 April 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.
🩺 A “living” medical textbook launched in Russia! ⚛️ A digital clinical medicine textbook has been introduced in Russia, allowing real-time updates. 💻 Content no longer becomes outdated — authors can continuously revise and expand materials. 📚 The platform includes not only text, but also multimedia: medical data, visuals, and even surgery videos. 👩⚕️ Each topic is managed by a specialist, while students can tak…
❤4
🛡 Hidden network segments are no longer invisible in Russia! ⚛️ A cybersecurity platform in Russia has been upgraded to access data even from isolated network segments. 💻 Previously, these areas were beyond monitoring, leaving parts of infrastructure without visibility. 📡 A new module collects data from inside closed environments, including controllers, firmware, and security settings. 📊 The system also analyzes …
❤1
🕰 AI will structure archives of World War II in Russia! ⚛️ In Russia, a digital archive is being upgraded with AI to turn scattered documents about World War II into a coherent narrative. 💻 Algorithms will analyze historical materials and build a timeline while preserving original wording. 📜 The system will also describe specific events based on authentic sources, creating a connected story instead of isolated fil…
❤2
📚 AI speeds up author onboarding in Russia! ⚛️ A Russian publishing house has introduced document recognition technology, reducing contract processing time to just minutes. 💻 AI automatically extracts passport data, tax IDs, and other details, filling in author profiles for quick verification. 📄 The system works with both printed and handwritten documents, recognizing tables, signatures, and complex formats. ⚡️ I…
🔥 Smart heat supply management is being implemented in Russia! ⚛️ A Russian energy company is transitioning to digital heat supply management, moving from emergency response to predictive management. 💻 The system includes two key modules: a customer service platform and a heat network damage monitoring system. 📱 The first acts as a single window for residents — providing updates on outages and repairs, and allowin…
👍1
🧠 Smart algorithm for mineral exploration developed in Russia! ⚛️ Russian scientists have created a system that helps companies explore deposits more efficiently while reducing costs. 💻 The algorithm analyzes data and selects the optimal strategy, balancing accuracy, completeness, and expenses. 📊 Using proxy modeling, it derives complex properties from accessible chemical data and maps them in a 3D model of the de…
👍1
😴 In Russia, digital assistants are being developed to help identify the causes of poor sleep! AI prototypes can simultaneously analyze sleep structure and detect breathing disorders. 🔊 One system processes breathing and snoring sounds, converting them into visual patterns (mel spectrograms) for analysis. 🧠 Another analyzes brain signals and automatically classifies sleep stages every 30 seconds. 📊 This approach …
❤2
🚁 A new type of neural network for drones is being developed in Russia — powered by light! Researchers created optical neural networks that process data using photon streams instead of electrical signals. ⚡️ This approach enables faster computation while consuming less energy — a key advantage for drones. 🧠 The system can recognize images and speech in real time directly onboard. 🔬 While optical systems tradition…
🔊 In Russia, AI has learned to “hear” faults in electric motors! Previously, engineers had to manually analyze electrical signals to detect failures — a time-consuming and complex process. 🤖 Now, a neural network can automatically identify defects. Researchers train it using artificial but realistic fault patterns added to signals from healthy motors. ⚙️ The system learns to recognize failures without requiring re…
🏗 In the future, buildings will be able to repair themselves and adapt to their environment! Experts predict that within the next 30–50 years, construction will be completely transformed — drones and robotic systems will replace traditional machinery and manual labor. 🕷 Small “spider robots” will assemble building structures and apply materials, allowing skyscrapers to be built in just days. 🧠 Artificial intellige…
❤2
💾 A new data storage system with asynchronous replication is being implemented in Russia! The technology is already deployed at a key facility in Sevastopol — a region with complex terrain and unstable network connections. ⚙️ Unlike traditional systems, data is copied with a delay and without strict synchronization. This allows services to continue operating smoothly even during connection issues. 📡 The new archit…
🚂 A historical video game about the railways of Imperial Russia is being developed! Players will build railway networks from the 19th century up to the революtion — laying tracks, managing resources, and making strategic decisions that shape the country’s development. 📚 The project combines a strategy game, management simulator, and historical reference. Real historical figures and архивные materials will be includ…
👏2
Showing the 12 most recent of 20 posts we hold for @gdfconf. 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.
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“Global Digital Forum 2025” (@gdfconf), 304 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/gdfconf.
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.