Channel
@opendatahub
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
76subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001218502741 |
|---|---|
| Type | Channel |
| Username | @opendatahub |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/opendatahub |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 05:17 | 76 | +1 |
| 28 Aug 2026, 16:54 | 75 | +1 |
| 15 Aug 2026, 01:25 | 74 | -1 |
| 9 Aug 2026, 21:17 | 75 | no change |
| 7 Aug 2026, 22:51 | 75 | first reading |
7 posts held, back to 9 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 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 7 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 7 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 9 July 2026 to 4 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.
🏆 Open Data Hub Day 2026 | From learning to practice Open Data Hub Day 2026 we had the pleasure of awarding the Open Data Hub Contributor of the Year 2026 to Eduardo Guerra, Associate Professor at the Free University of Bozen-Bolzano, for his contributions to the community, including bringing Open Data Hub into his teaching activities and enabling students to work directly with Open Data Hub APIs and real-world data…
📱 Merano App | Enhancing tourist and local experiences through Open Data The Merano App, developed by the Tourist Agency of Merano in collaboration with KIM, shows how integrating different data sources can create a more complete digital experience for both visitors and locals. The app provides access to a wide range of information, including real-time parking availability, events, weather updates, accommodation, h…
🏢 Open Data Hub Day 2026 | Building track recap The Building track at Open Data Hub Day 2026 explored how Open Data can support smart buildings and connected infrastructures, with a focus on practical integration and data usage for efficiency and monitoring. Examples included: • "MODERATE project: Enriching open data with street view imagery and deep learning" - by Anthony Suppa, Post-doctoral researcher at Eurac …
🌍 Transforming data into digital experiences | Stendhapp Use Case In the tourism sector the challenge often is fragmentation. Local events, hidden gems and cultural attractions frequently remain overlooked because the information is not available through a single access point. The Italian start-up Stendhapp tackled this challenge by developing a free app that transforms data into discovery experiences through AI-ge…
❤1
📍 Open Data Hub Day 2026 | City Vision panel recap As part of Open Data Hub Day 2026, the City Vision panel focused on urban innovation and the role of data in supporting local administrations. Moderated by Domenico Lanzilotta, Director of City Vision, the session featured contributions from experts Ivano Marchiol, City Councillor for Mobility and Green Spaces at Municipality of Udine, Margherita Cera, City Council…
«We are always looking for international partners or data sources that can be easily integrated to enhance the value we already offer. Without this open data, we wouldn't have a chance.» said Christoph Lucas, Product Owner Open Journey Planner at SBB / SKI+. 🔎 Discover how data can be transformed into practical solutions! https://opendatahub.com/ #OpenDataHub #OpenDataHubDay #OpenData
💻 Open Data Hub Day 2026 | Open Data Hub Core track recap From architecture to implementation, the Core track explored the technical approaches and tools that support the scalability, performance and accessibility of the Open Data Hub ecosystem. Some examples included... • "Optimizing the Open Data Hub Timeseries Database" - by Clemens Zagler, Software Architect at NOI Techpark • "Displaying Large Dataset on a Ma…
Showing the 7 most recent of 7 posts we hold for @opendatahub. 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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“Open Data Hub” (@opendatahub), 76 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/opendatahub.
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.