Channel
@SomeTechStuff
On this record: Topic · Growth · Engagement · Posts · Cite this entry
2subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001849601622 |
|---|---|
| Type | Channel |
| Username | @SomeTechStuff |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 2 October 2026 |
| On Telegram | t.me/SomeTechStuff |
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 3 October 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 14:57 | 2 | -1 |
| 13 Aug 2026, 16:48 | 3 | no change |
| 7 Aug 2026, 23:36 | 3 | first reading |
20 posts held, back to 23 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 20 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong https://towardsdatascience.com/building-an-agent-ready-data-warehouse-what-traditional-architectures-do-wrong/
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I Thought Loading Data Was the Finish Line. It Was the Starting Point. https://towardsdatascience.com/i-thought-loading-data-was-the-finish-line-it-was-the-starting-point/
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Building a Streamlit UI for My LangGraph AI Agent https://towardsdatascience.com/building-a-streamlit-ui-for-my-langgraph-ai-agent/
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Matplotlib vs Plotly: Which Python Chart Tool Should You Choose? https://towardsdatascience.com/matplotlib-vs-plotly-which-python-chart-tool-should-you-choose/
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My Fall-Detection Model Scored 94%, and It Was Lying to Me https://towardsdatascience.com/my-fall-detection-model-scored-94-and-it-was-lying-to-me/
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I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How. https://towardsdatascience.com/i-built-an-ai-data-agent-which-can-query-data-and-answer-business-questions-heres-how/
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Last Month’s Machine Learning Lessons Learned https://towardsdatascience.com/last-months-lessons-learned/
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I Built a Tool-Calling Agent in Python. Here’s How I Debugged It https://towardsdatascience.com/i-built-a-tool-calling-agent-in-python-heres-how-i-debugged-it/
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Introduction to Semi-Supervised Learning https://towardsdatascience.com/introduction-to-semi-supervised-learning/
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Is This Slop? Detecting AI-Generated Content Without a Model https://towardsdatascience.com/is-this-slop-detecting-ai-generated-content-without-a-model-2/
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The Medallion Data Architecture: An Introduction https://towardsdatascience.com/the-medallion-data-architecture/
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The AI Was the Easy Part: What Is a Forward-Deployed Engineer in a Supply Chain? https://towardsdatascience.com/the-ai-was-the-easy-part-what-is-a-forward-deployed-engineer-in-a-supply-chain/
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Showing the 12 most recent of 20 posts we hold for @SomeTechStuff. 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 2 October 2026 — this entry's latest reading, not the date you are reading this.
“Some Tech Stuff” (@SomeTechStuff), 2 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/SomeTechStuff.
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.