Channel
@corpsignals
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
4subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002338057894 |
|---|---|
| Type | Channel |
| Username | @corpsignals |
| Created | 4 October 2024 — measured — dated from the channel’s first post |
| First recorded | 13 August 2026 |
| Last confirmed live | 5 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 5 October 2026 |
| On Telegram | t.me/corpsignals |
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 99% 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 |
|---|---|---|
| 24 Sept 2026, 20:01 | 4 | +1 |
| 13 Aug 2026, 14:33 | 3 | no change |
| 7 Aug 2026, 20:38 | 3 | first reading |
7 posts held, back to 4 October 2024 — 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 13 April 2025. An engagement rate over an empty window would be a number about nothing.
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 2 | 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 2 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 2 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 4 October 2024 to 13 April 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.
Our custom AI deployed! A new summary for a small subset of companies. See an example here: https://corpsignals.com/companies/uk/80s-casual-classics-ltd-06922118.html It was cooked on our local AI machine with open-sourced LLMs.
🔥1
Right now, I am deploying a new search algorithm! Tweaking some internals significantly improves search quality. Before: The old search returned relevant results for "Francesco Blasi" but not for "Blasi Francesco." Now, it works perfectly for both variants.
We rolled out more tags: Regular or irregular importer/exporter, e-commerce site. Contact info: website, social networks, phone numbers. https://corpsignals.com/companies/uk/transair-uk-ltd-02121497.html
We rolled out exporter and importer profile patterns for UK exporters and importers. Just one glance is enough to determine what type of goods they are dealing with! Here is the example of UNIQLO https://corpsignals.com/companies/uk/uniqlo-europe-ltd-04845064.html
We are rolling out a new design for company pages! Badges for a quick assessment of any UK company: - Company size (Large, Medium, Small, Dormant, Holding) - Company status - Years incorporated - Last reported revenue, employees, assets if reported - Is the address of the company real Green colors for good indicators, red for the bad one’s Good example https://corpsignals.com/companies/uk/omlet-ltd-05028498.html …
🔥1
Yesterday I significantly improved the quality of search results. If you search for an UK company, you’ll get less but more concise results. Try it yourself on corpsignals.com
Channel created
Showing the 7 most recent of 7 posts we hold for @corpsignals. 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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“CorpSignals” (@corpsignals), 4 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/corpsignals.
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.