Channel
@reverseiplookuptools
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
45subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001652417189 |
|---|---|
| Type | Channel |
| Username | @reverseiplookuptools |
| Created | 12 April 2022 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/reverseiplookuptools |
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 29 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 |
|---|---|---|
| 4 Oct 2026, 12:58 | 45 | -1 |
| 9 Sept 2026, 19:00 | 46 | -1 |
| 10 Aug 2026, 13:46 | 47 | no change |
| 7 Aug 2026, 23:14 | 47 | first reading |
10 posts held, back to 12 April 2022 — 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 10 posts for this entry, the most recent from 21 May 2025. An engagement rate over an empty window would be a number about nothing.
13 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 76.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 10 | 76.9% | |
| ❤ | 2 | 15.4% | |
| 👏 | 1 | 7.69% |
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 7 of the 10 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 12 April 2022 to 21 May 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.
The owner of this channel has been inactive for the last 11 months. If they remain inactive for the next 8 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
Some other features that are available for URL classification: Total number of images, Total number of links, Total number of characters , Total number of special characters, The ratio of total length of script to special characters
👍2
Looking up a task of URL classification, primarily for the purpose of identifying the problematic websites. So how one can approach such a problem. First part is the feature engineering or the extraction of relevant features that will be used for the ML models for predicting whether URL is problematic or not. So given that we are dealing with URLs, what do we have available for this? Here are some of the possible fea…
👍2
If you are looking for tutoring in math or physics, in germany, then check out Physik Nachhilfe in München.
👍1
Website categorization is an example of text classification models. They usually use logistic regression, support vector machines, naive bayes or neural nets for classification. One can build website categorization models on your own or use machine learning consulting company for this puporse.
What are the potential use cases for reverse IP lookup tools and services? One can integrate it with the IAB classification of websites using API to find all websites that reside on the same IP but belong to some specific category, like fashion website. This can be then used as part of web content filtering to prevent employees to spending time on some non-work related websites on their computers. For more informatio…
👍1
Next, let us turn our attention to domains. Domain is a text that can be used as a unique identifier for websites. E.g. I am writing this on a website that has domain telegram.com. Note the extension at the end. For a long time, the only extensions were .com, .net, .org and a few other TLD as well as country level domains like .de or co.uk. Recently this has changed with introduction of many other domain extensions. …
👏1
First let us start with basic definitions. What is an IP address? Every device on the internet is assigned a so called IP address. From computers to IoT devices. It is a kind of street address of your house, except that it is for devices, not houses and it is for internet space. There are actually two kind of IP addresses. IPv4 is the first kind and it is abbreviation for Internet Protocol version 4. An example of I…
👍4❤1
In this channel we will be talking about all things related to IP looks tools and services, with some specialized ones, like Reverse IP APis.
❤1
Channel created
Showing the 10 most recent of 10 posts we hold for @reverseiplookuptools. 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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“Reverse IP lookup tools and services” (@reverseiplookuptools), 45 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/reverseiplookuptools.
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.