Channel
@SparksterNews
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,350subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001151611902 |
|---|---|
| Type | Channel |
| Username | @SparksterNews |
| Created | Between 1 November 2019 and 4 February 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/SparksterNews |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 16:23 | 1,350 | -3 |
| 12 Aug 2026, 22:44 | 1,353 | +1 |
| 9 Aug 2026, 17:42 | 1,352 | -1 |
| 6 Aug 2026, 08:02 | 1,353 | no change |
| 6 Aug 2026, 03:37 | 1,353 | first reading |
20 posts held, back to 4 February 2020 — 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.
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 16 February 2024. An engagement rate over an empty window would be a number about nothing.
Dear Community, We’re soon to release a new version of our low code platform. This release will include significantly more features. The new version of our platform is not backward compatible with the current version. Therefore, if you’re running any applications in production, please migrate them by March 31st 2024, otherwise you will unfortunately lose access to them. Thank you Sparkster Team
Dear Community, In light of recent news, we have rebalanced our holdings to reduce risk. With regards to the SEC, we do not any further information as yet. Once the SEC provides guidance on the refund procedure, we will certainly publish it. Thank you Sparkster Team
Dear Community, To mitigate risk, given the ongoing banking crisis, Sparkster is reducing its exposure to USDC. We have converted the majority of our funds back to ETH. Outside of USDC, we are not aware of any other exposure to the banking crisis. The decision has been made exclusively to ensure the future and continuity of the project. Thank you Sparkster Team.
Please be patient, we will provide instructions on how to request your refund just as soon as we receive them.
Note also that our No Code Algo Trading Platform is also available to use at https://algo.sparkster.me
Dear Community, In August 2019, Sparkster was notified of an investigation into our ICO. This investigation spanned several countries and hindered our ability to communicate with our community openly and freely. As we reviewed our detailed records of nearly ten thousand KYCs, we discovered a handful of participants that could possibly have been Americans that slipped through our KYC procedure. We promptly provided …
Sparkster News & Announcements pinned «Dear Community, As a continuation of our Low Code Platform demonstration, we're pleased to bring you walkthrough of our workflow component, where you will drag and drop blocks to create the backend logic of your application - without writing code. In the…»
Dear Community, As a continuation of our Low Code Platform demonstration, we're pleased to bring you walkthrough of our workflow component, where you will drag and drop blocks to create the backend logic of your application - without writing code. In the last walkthrough you used DesignStudio to create a marketplace where NFTs can be browsed and purchased. Continuing on our journey with the NFT Marketplace, in thi…
Sparkster News & Announcements pinned «Dear Community, our Low Code Platform demo premiers in 30 mins. The demo moves quickly, so pay close attention. https://www.youtube.com/watch?v=i4ShctMEhmU»
Dear Community, We're pleased to bring you a interactive walkthrough of our new low code development platform. Our low code platform consists of several core components. This walkthrough only demonstrates front-end development through DesignStudio. Over the course of the 5 minute walkthrough, you will build an NFT marketplace that integrates with the OpenSea API. Upon selecting a particular NFT you will be able to…
Dear Community, our Low Code Platform demo premiers in 30 mins. The demo moves quickly, so pay close attention. https://www.youtube.com/watch?v=i4ShctMEhmU
Dear Community, We are pleased to announce that we will be premiering a demonstration of Sparkster's Low Code Platform tomorrow March 31st at 2pm UK time. You can join the Premier at the link below: https://youtu.be/i4ShctMEhmU
Showing the 12 most recent of 20 posts we hold for @SparksterNews. 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 — 1,016,279 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.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Sparkster News & Announcements” (@SparksterNews), 1,350 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/SparksterNews.
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.