OPENAI 🔥: Advanced and Standard voice modes on ChatGPT will be retired on December 11! Does it mean that we are expecting another realtime voice model upgrade to happen before that? We need 12 days of OpenAI 👀
❤2
Signed Alexey

Channel
@testingcatalog
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
8,014subscribers
+833 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001051309408 |
|---|---|
| Type | Channel |
| Username | @testingcatalog |
| Created | Between 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/testingcatalog |
Technology — a classification, not a measurement. 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 11:06 | 8,014 | +61 |
| 7 Nov 2026, 08:34 | 7,953 | +56 |
| 4 Nov 2026, 08:56 | 7,897 | +14 |
| 31 Oct 2026, 22:28 | 7,883 | +12 |
| 28 Oct 2026, 11:46 | 7,871 | +14 |
| 25 Oct 2026, 15:29 | 7,857 | +17 |
| 22 Oct 2026, 10:41 | 7,840 | +28 |
| 19 Oct 2026, 04:41 | 7,812 | +9 |
| 16 Oct 2026, 00:09 | 7,803 | +34 |
| 12 Oct 2026, 14:15 | 7,769 | +46 |
| 5 Oct 2026, 23:40 | 7,723 | +77 |
| 29 Sept 2026, 01:20 | 7,646 | +106 |
| 16 Sept 2026, 02:41 | 7,540 | +2 |
| 12 Sept 2026, 06:15 | 7,538 | +55 |
| 7 Sept 2026, 19:17 | 7,483 | +39 |
| 2 Sept 2026, 15:59 | 7,444 | +34 |
| 30 Aug 2026, 05:28 | 7,410 | +14 |
| 27 Aug 2026, 15:07 | 7,396 | +38 |
| 24 Aug 2026, 06:17 | 7,358 | +30 |
| 20 Aug 2026, 04:17 | 7,328 | first reading |
199 posts held, back to 4 August 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 30 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 99 of 101 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 199 (4 August 2026 – 11 November 2026) |
| Views total | 90,134 |
| Reactions total | 957 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 01:14 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 44 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.
1,802 reactions across 185 posts, in 33 distinct kinds. The most used accounts for 44.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 801 | 44.5% | |
| 👍 | 223 | 12.4% | |
| 🔥 | 156 | 8.66% | |
| custom 5415932912484779414 | 118 | 6.55% | |
| custom 5246801734638002426 | 84 | 4.66% | |
| custom 5417984549642601364 | 82 | 4.55% | |
| custom 5210956306952758910 | 70 | 3.88% | |
| 👎 | 53 | 2.94% | |
| 👀 | 50 | 2.77% | |
| 😁 | 33 | 1.83% | |
| custom 5440892071248431491 | 14 | 0.777% | |
| 🤯 | 14 | 0.777% | |
| 🤬 | 13 | 0.721% | |
| 😴 | 12 | 0.666% | |
| custom 5440621591387980068 | 10 | 0.555% | |
| 👻 | 10 | 0.555% | |
| 😭 | 9 | 0.499% | |
| 😱 | 8 | 0.444% | |
| 🤩 | 6 | 0.333% | |
| 🥰 | 5 | 0.277% | |
| 13 further kinds | 31 | 1.72% |
Custom emoji. 6 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 196 of the 199 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 1,881 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 199 most recent posts we hold, published 4 August 2026 to 11 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @testingcatalog. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 199 most recent posts we hold for this entry, published 4 August 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 15 of 101 posts held from the last 30 days (14.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
OPENAI 🔥: Advanced and Standard voice modes on ChatGPT will be retired on December 11! Does it mean that we are expecting another realtime voice model upgrade to happen before that? We need 12 days of OpenAI 👀
❤2
Signed Alexey
SPACEXAI 🔥: Cursor is getting a multiplayer mode where team members and their agents can work on a unified workspace. The feature is built on top of the existing Projects. Seems like a day-one answer to the Antigravity/swarm feature, with a huge addition on top. Besides that, Claude and Perplexity are also working on similar multiplayer features.
❤2👀2
Signed Alexey
GOOGLE 🔥: A new Swarm Mode is now available on Antigravity! /swarm is a new agent orchestrator command that runs multiple agents in parallel to complete a task. Spawned agents will use a shared message board to communicate with each other. Swarming 🐝
❤3🤩3👏2🔥2
Signed Alexey
MINIMAX 🔥: MiniMax H3-Image is now available on HuggingFace, MiniMax Code, and MiniMax APIs. MiniMax H3-Image is a new open-weight image model that supports 4K images. There aren't many good open image models; any new release in this category is a big step forward. Needs testing 👀
❤3
Signed Alexey
BREAKING 🔥: Stripe officially acquired OpenRouter!!! > Stripe: "Stripe is building the economic infrastructure for AI." > OpenRouter: "Our commitment to neutrality stays the same. Models and providers compete on quality, reliability, and price." That's an official confirmation that the deal announced on August 19 has been officially completed. Prior announcements were for the "Agreement". This acquisition is quit…
🤯6❤3
Signed Alexey
OpenAI ❤️ Odessia OpenAI acquired Odessia, a travel platform that lets users plan and book trips with AI support. > "We started Odessia to reinvent travel. This acquisition marks an exciting next chapter for that mission." The team will "focus on the future of travel." Side quests 👀
❤7custom 52468017346380024265
Signed Alexey
OPENAI 🔥: ChatGPT Business users can now claim their businesses and build a Business Agent to answer customers' inbound requests. This new experience is available to eligible businesses in the US. Earlier this year, OpenAI also introduced a capability to target custom business AI Agents from ChatGPT ads. Looks like a funnel is becoming complete 👀
custom 52468017346380024262❤1
Signed Alexey
ANTHROPIC 🔥: Claude Whiteboards, Claude Sheets, and Claude Data are now generally available on all paid plans! Besides this, Claude web and desktop are getting interactive connectors. > "We're introducing new artifact types with Claude Sheets, Claude Whiteboards, and Claude Data. We're also making it easier to work in your most-used apps with an upgrade to interactive connectors. Claude Meetings is coming soon." C…
❤3custom 54179845496426013642
Signed Alexey
GOOGLE 🔥: Gemini 4 Carbon rollout has been officially announced to be available to Gemini Ultra subscribers and APIs. We need it on Pro as well 👀
❤12👎9custom 54159329124847794144
Signed Alexey
BREAKING 🔥: Gemini 4 Carbon is rolling out on Google Cloud Platform and is already available on Agent Studio! > "Our most capable model for deep work, with frontier performance on long-horizon agentic coding, enterprise knowledge work, and scientific reasoning, and a 1M output token limit." Testing time! 👀
custom 54159329124847794147❤2👎2🔥1
Signed Alexey
Google announced a new Gemini Robotics 2.5 model for physical AI. > This model was built with support from the Gemini 4 Argon model. > In a POC with Apptronik and Mercedes-Benz, Gemini Robotics 2.5 helped the Apollo 2 robot pick and organize car parts for assembly with 96% accuracy.
custom 54159329124847794147❤4
Signed Alexey
GOOGLE 🔥: Gemini 4 Carbon Low, Medium, and High variants have been added to the latest Antigravity build. * Not available publicly yet 👀
🔥8👎4custom 54159329124847794144👀1
Signed Alexey
Showing the 12 most recent of 199 posts we hold for @testingcatalog. 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.
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 4 registered channels — 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“🚨 AI News | TestingCatalog” (@testingcatalog), 8,014 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/testingcatalog.
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.