Telegram RegisterThe public register of Telegram

Channel

Big Data Science

@bdscience

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

3,585subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001400109544
TypeChannel
Username@bdscience
CreatedBetween 1 January 2019 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/bdscience

Growth

3,5843,5853,584.56 August 2026 — 3,584 subscribers7 August 2026 — 3,584 subscribers10 August 2026 — 3,585 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,584–3,585 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 17:383,585+1
7 Aug 2026, 10:463,584no change
6 Aug 2026, 21:483,584first reading

Engagement

20 posts held, back to 4 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof 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 27 November 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
3m 26s
Average length
1m 09s

Measured directly from 3 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.

Reaction mix

19 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 63.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1263.2%
👍631.6%
🤔15.26%

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 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 19reactions 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 4 April 2025 to 27 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

27 Nov 2025, 13:00 UTC≈3,240 views2 reactionsread 7 August 2026
Video

💎 Imagen AI — an intelligent Adobe Lightroom assistant that automates photo editing by learning your unique personal style from thousands of your previous edits. It dramatically reduces post-processing time while accurately replicating your signature adjustments for exposure, color, contrast, and overall look. Fully integrated with Adobe Creative Cloud, Imagen AI always keeps you in control: the AI suggests edits, an

2

28 Oct 2025, 07:13 UTC≈3,240 views0 reactionsread 7 August 2026
Video

🌐 OpenAI has released ChatGPT Atlas Atlas is a browser with an integrated AI sidebar, built as a full-featured super-assistant for work, learning, and creativity. All interaction is conversational: you manage tasks, search, and organize routines easily while browsing. Atlas is currently available for macOS, with Windows, iOS, and Android support coming soon.​ Key ChatGPT Atlas options: ⚡️ Built-in ChatGPT chat: The

16 Sept 2025, 09:41 UTC≈2,620 views2 reactionsread 7 August 2026
Photo

🤖 Nanobanana.ai is an AI aggregation platform that provides unified subscription-based access to a suite of the world's most advanced AI models for image generation and editing. It simplifies the creative workflow by offering a single gateway to multiple powerful tools, eliminating the need for separate subscriptions. 🎨 Text-to-Image Generation Leverage the strengths of top-tier AI models to generate stunning visual

2

30 Jul 2025, 11:24 UTC≈2,080 views1 reactionsread 7 August 2026
Video

🏀 Photoleap by Lightricks is a premier AI-powered image editing app that seamlessly blends advanced automation with versatile editing tools in an intuitive interface. Ideal for creating viral social media content, professional designs, or digital art, Photoleap empowers everyone—from influencers to designers—to transform ideas into stunning visuals effortlessly. What can Photoleap do? ⚡️ Creative Transformations: Ex

1

19 Jun 2025, 08:32 UTC≈1,710 views2 reactionsread 7 August 2026
Video

⚙️ Rumi Labs transforms passive media into interactive entertainment A San Francisco-based startup recently raised $4.7 million in a pre-seed funding round co-led by Andreessen Horowitz’s crypto accelerator and EV3  Rumi’s platform lets viewers talk to on-screen characters, athletes, or hosts in real time — while watching. The AI interprets live video and audio context to answer questions like: “Why was that a foul?

1👍1

27 May 2025, 07:50 UTC≈1,550 views2 reactionsread 7 August 2026
Photo

📈Genspark AI: the autonomous super-agent for multi-step business workflows 🧠 Mixture-of-Agents architecture & deep automation Genspark routes every request through a team of nine purpose-built large-language models and an arsenal of 80+ in-house tools. Its controller decomposes a goal, assigns each sub-task to the best “mini-agent,” then stitches the results back together—boosting speed, accuracy and cost-efficiency

1👍1

19 May 2025, 13:22 UTC≈1,300 views3 reactionsread 7 August 2026
Photo

📱 Apple updates Siri with smart AI 📌 Apple is remodelling Siri with a brand-new architecture built around large language models (LLMs). 📌 The team in Zurich is reportedly rebuilding Siri from the ground up to make it more conversational, context-aware and capable of synthesizing web information. 📌 Unlike other voice assistants the new Siri is expected to process queries directly on-device using Apple’s privacy-focus

3

12 May 2025, 10:47 UTC≈1,150 views3 reactionsread 7 August 2026
Photo

🔹 Qwen 3: The Next-Generation Chinese AI 🧠 Hybrid Thinking and Scalability Qwen 3 is the third generation of large language models developed by Alibaba, designed with a focus on hybrid reasoning. It combines logical reasoning with content generation, making it a versatile tool for a wide range of tasks. The model is available in various configurations, including dense models (from 0.6B to 32B parameters) and sparse

1👍1🤔1

6 May 2025, 12:48 UTC975 views2 reactionsread 7 August 2026

👨‍💻Data Science professionals need cutting-edge tools to stay ahead. There are 5 services that can boost work efficiency: 1️⃣ DataRobot — A platform that helps automate the process of creating and optimizing machine learning models, allowing even beginners to quickly implement data analysis solutions. 2️⃣ Hugging Face — A repository and tools for working with NLP models and transformers. Essential for processing te

👍2

30 Apr 2025, 15:59 UTC935 views2 reactionsread 7 August 2026

🌎TOP DS-events all over the world in May May 7-8 - Data Science Next Conference Europe 2025 - Amsterdam, Netherlands - https://dscnextcon.com/ May 7-8 - Data Innovation Summit – Stockholm, Sweden - https://datainnovationsummit.com/ May 12-13 – DataFest – Edinburgh, UK - https://thedatalab.com/datafest/ May 13-15 - Qlik Connect – Orlando, USA - https://www.qlikconnect.com/ May 14 - Real-Time Analytics Summit – Online

1👍1

28 Apr 2025, 15:59 UTC864 viewsread 7 August 2026

💡X-AnyLabeling — professional AI tool for automatic data labeling X-AnyLabeling is an extended and improved version of the popular open-source project AnyLabeling, created for industrial use. Thanks to the support of AI and dozens of CV models, the tool makes labeling much faster and more accurately than manually. 💡 What X-AnyLabeling can do: 🔹 Automatic and semi-automatic annotation of images and videos 🔹 Support

25 Apr 2025, 15:59 UTC879 viewsread 7 August 2026
Video

😱China sets the pace in medical technology 🤖 Robots in white coats Dozens of medical robots work in the largest clinics in China. They not only disinfect and deliver medicines, but also perform complex procedures: 📌 At Zhongshan Hospital at Fudan University, a robot phlebotomist takes blood more accurately than a person 🧠 AI is not an assistant, but a full-fledged doctor China has opened the world's first AI hosp

Showing the 12 most recent of 20 posts we hold for @bdscience. 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.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

21 Apr 2025, 15:59 UTCAnonymous Poll28 voters

You need to build CDC (Change Data Capture) from PostgreSQL. What do you prefer?

  1. Debezium + Kafka — a popular standard with log support46%
  2. Apache NiFi — drag-and-drop stream from change logs29%
  3. LogMiner + Kafka Connect — if you work with Oracle and want unification11%
  4. Own agent based on logical replication + custom JSON format14%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

9 Apr 2025, 15:59 UTCAnonymous Poll25 voters

You receive data from an external API with an unstable structure. What would you do in preprocessing so that the entire pipeline does not crash?

  1. I write a schema-validator with default values ​​and logging16%
  2. I wrap parsing in try/except with sending alerts in case of anomalies16%
  3. I save “raw” data separately so that it can be re-parsed during revision40%
  4. I make mapping API → internal schema via an adapter or ETL layer28%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 4 April 2025 to 27 November 2025. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 283,052 of 1,160,990entries 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.

Mentions

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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Big Data Science” (@bdscience), 3,585 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/bdscience.

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.