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Channel
DELTIX
@deltixlab
On this record: Topic · Growth · Engagement · Posts · Cite this entry
66subscribers
+11 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001257202577 |
|---|---|
| Type | Channel |
| Username | @deltixlab |
| Created | 4 May 2021 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/deltixlab |
Topic
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 29 September 2026 and assigned it the closest of 31 fixed categories, at 38% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Oct 2026, 13:09 | 66 | +5 |
| 2 Oct 2026, 19:55 | 61 | +3 |
| 18 Sept 2026, 22:20 | 58 | -1 |
| 27 Aug 2026, 05:28 | 59 | +1 |
| 21 Aug 2026, 03:44 | 58 | +2 |
| 15 Aug 2026, 04:17 | 56 | +1 |
| 10 Aug 2026, 08:16 | 55 | no change |
| 7 Aug 2026, 20:52 | 55 | first reading |
Engagement
12 posts held, back to 4 May 2021 — 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 12 posts for this entry, the most recent from 8 April 2022. An engagement rate over an empty window would be a number about nothing.
Recent posts
How machine learning can improve trading bots profitability on Crypto markets.
Ultralight event processing in Java
Using TimeBase as Data Storage For IoT Devices
Channel photo updated
Reinforcement Learning Read about simple hacks you can use to train a bot in a very complex environment on a regular notebook in a relatively short time using only reinforcement learning, without the need for huge computational clusters and professional players’ game records.
WebGL Shaders To make the deltix.io website memorable, we wanted to create something unique, something that would distinguish us from other corporate front pages. What we ended up with, is a website that would feature procedural graphics producing a smooth high-resolution render.
Deltix Codeforces Summer Round Welcome to the second installment of our rounds. We have prepared the valuable trophies for participants and winners.
Differential Machine Learning This paper provides a research of new neural network types, which allow to significantly speed up fair price and risk evaluation for various option contracts. Methods described in this research allow traders to recognize arbitrage opportunities faster than competitors and, thus generate profit.
Welcome to the first installment of our rounds at Codeforces. We have prepared the valuable trophies for participants and winners. Top 100 participants will also receive a competition t-shirt. Another 100 t-shirts will be distributed randomly between 100 participants outside of top-100 and who have solved at least one problem and participated in rated codeforces rounds before.
Log4j and Gflog Java Logging Libraries This article will peek under the hood of Log4j and Gflog java logging libraries and see how they are different from the memory management perspective. We will find out how things are implemented to keep allocations of new objects as low as possible.
Channel created
Showing the 12 most recent of 12 posts we hold for @deltixlab. 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.
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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“DELTIX” (@deltixlab), 66 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/deltixlab.
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.