Channel
@AximoLoot
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16,035subscribers
-87 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001829012828 |
|---|---|
| Type | Channel |
| Username | @AximoLoot |
| Description | https://t.me/+RA1tsb6LPFVkMWNh Share this link with your friends for joining this channel |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/AximoLoot |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 16:24 | 16,035 | -24 |
| 11 Aug 2026, 15:04 | 16,059 | -25 |
| 10 Aug 2026, 12:52 | 16,084 | -8 |
| 9 Aug 2026, 12:32 | 16,092 | -11 |
| 8 Aug 2026, 13:36 | 16,103 | -16 |
| 7 Aug 2026, 14:06 | 16,119 | -3 |
| 7 Aug 2026, 11:16 | 16,122 | first reading |
17 posts held, back to 27 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 16 pagesof 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 8 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 17 (27 July 2026 – 12 August 2026) |
| Views total | 13,812 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 01:07 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.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 7 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.
12 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 75.0% | |
| 🥰 | 2 | 16.7% | |
| 🔥 | 1 | 8.33% |
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 8 of the 17 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 12reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 27 July 2026 to 12 August 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.
➡️Claude quietly starts watermarking content Anthropic is embedding machine-readable labels into Claude’s responses, making it possible to identify whether a text or file was processed by the model. 🛑 Invisible watermarks are built directly into generated text. They don't alter the meaning and survive standard copy-pasting. 🛑 Images and supported files receive signed origin data via the C2PA standard. This lets you …
Firecrawl releases an ultra-fast PDF parser 📌 The new tool processes a single page in about 0.002 seconds and handles massive documents effortlessly. What it can do: 📼 Converts PDFs to Markdown while preserving tables and structure 📼 Processes up to 200 files in under 3 seconds 📼 Built with Rust for maximum speed and low resource consumption 📼 Completely free and open-source @AximoLoot
❤1
🛑 It has begun: Xiaomi has launched a "dark factory" in China run entirely by AI-powered robots. You read that right: there isn't a single human inside. The robots build the smartphones, run quality control checks, and even clean up after themselves. 🛑The speed is insane — 1 phone every single second. And unlike us, these machine workers can operate 24/7 with zero breaks. When AI eventually takes our jobs, we won't…
❤1
ChatGPT can now be embedded directly into the brain — a Neuralink competitor just put the viral AI into their neural chip. Thanks to AI, a paralyzed man can now communicate with his family: ChatGPT "reads" his brain activity and converts it into text, with voice output coming next. This is the future we signed up for. @AximoLoot
🔥1
Gen Z gamers have started using ADHD crosshairs for shooters — displaying multiple videos on screen to make the game more engaging. Finally, a way to hold your attention and not forget what you're actually playing. 🛑 Displays split-screen videos directly inside your custom crosshair overlay. 🛑 Lets you watch brain-rot clips or TikToks while holding a sightline. 🛑 Keeps your dopamine levels topped off during slow-pa…
Post an AI image? Don’t forget the label 🛑 New rules have officially kicked in across the EU: all AI-generated content — images, video, audio, and deepfakes — must now be clearly labeled. Plus, businesses are legally required to inform users whenever they’re interacting with a chatbot instead of a real person. The price tag for ignoring it? Up to €15 million or 3% of global annual turnover. Basically, a single unfl…
❤1
Italian Riviera sunrise in glass and watercolor 🎨 Aspect ratio: 4:7 Prompt: Ink washed watercolor stained glass mosaic, sunrise along the Italian Riviera, cobblestone streets and terracotta roofed villas, dawn clouds in shades of blurple Generated on: TrueVideo.ai. @AximoLoot
Here’s your 37-second salary — Jeff Bezos earns as much as an average Amazon worker in just over half a minute 😂 @AximoLoot
Google Earth just integrated Nano Banana 2 — and it’s absolute magic. Zoom in on any spot on the map, hit "create image", type your prompt, and the model renders the scene directly over real satellite imagery. What you can do with it: ➡️ Rebuild history: Want to see Pompeii in all its glory? The AI turns ancient ruins back into a thriving classical city. ➡️ Uncover details: Interested in a landmark? The model highl…
❤4
Ultimate offline background remover — Removerized handles it all in one click Meet Removerized — a tool that extracts objects from practically any image with a single click, operating entirely offline without sending a single byte to the internet. What’s inside: 🛑 Multiple AI models tailored for different tasks 🛑 Batch processing for handling multiple images at once 🛑 Built-in upscaler to enhance picture quality 🛑 …
❤1
Google rushes to pull the plug on Google Earth’s new AI image tool less than 24 hours after launch 🛑 The feature allowed users to zoom in anywhere on the map and generate a satellite-style photo from a text prompt. Predictably, the internet had other plans — users immediately started generating fake plane crashes, bombings, 9/11 scenarios, and nuclear strikes. 🛑 Google completely disabled the feature in under a day…
❤1
Run up to 300 AI agents locally with just a single tool Chinese developers have introduced Kimi Work — a platform that can control your browser via WebBridge, autonomously opening pages, scrolling, clicking buttons, and entering text. It also works with local files, executes Python code, schedules tasks, and remembers user preferences alongside long-term context. @AximoLoot
🥰2
Showing the 12 most recent of 17 posts we hold for @AximoLoot. 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.
Citation-graph rank — 378,722 of 1,151,006entries 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.
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 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Aximo Loot” (@AximoLoot), 16,035 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/AximoLoot.
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.