Channel
@proxy_seller
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
6,196subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001190149169 |
|---|---|
| Type | Channel |
| Username | @proxy_seller |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/proxy_seller |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 15:26 | 6,196 | -16 |
| 10 Aug 2026, 20:26 | 6,212 | +11 |
| 7 Aug 2026, 00:30 | 6,201 | no change |
| 7 Aug 2026, 00:18 | 6,201 | first reading |
20 posts held, back to 17 February 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 9 pagesof 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 29 May 2026. An engagement rate over an empty window would be a number about nothing.
44 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 68.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 30 | 68.2% | |
| 👍 | 7 | 15.9% | |
| 🔥 | 6 | 13.6% | |
| 🗿 | 1 | 2.27% |
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 14 of the 20 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 44reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 17 February 2026 to 29 May 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.
Data stopped being just a fuel for AI, it became the limiting factor. Teams don’t struggle with model design anymore. They struggle with what happens before training even starts: inconsistent sources, incomplete samples, and pipelines that quietly degrade under scale. In practice, the failure point is unstable data flow: - success rates drop without clear system errors - regional gaps create biased training sets - …
Web Scraping in 2026: Choosing Proxies That Work in Production Scraping issues today don’t come from blocks, but from degraded or inconsistent responses that still return “success”. The real challenge is keeping data stable and usable at scale. What matters in practice: — residential proxies handle high-friction targets best; — ISP proxies offer a balance of stability and performance; — datacenter proxies work for…
🔥4❤1
Many enterprise scraping systems continue to prioritize throughput over data validity.Currently, the primary failure point has shifted from blocked requests to degraded responses that still return “successful” status codes. This video examines the evolution of proxy data consumption in 2026 and explains why extracting data at a gigabyte scale no longer ensures usable results. Key topics covered include: - Data qual…
Modern scraping is less about choosing a tool and more about managing reliability, scale, and anti-bot resilience. In the analysis of “Best Web Scraping Tools to Get Ahead in 2026”, we explore how scraping evolved from simple HTML parsing to full-scale systems combining APIs, browser automation, and proxy networks. Key areas covered: - no-code tools vs APIs vs developer frameworks - role of proxies and session stab…
Websites don’t block requests randomly. Access decisions are based on structured risk scoring that evaluates multiple traffic signals before interaction begins. In this video, we break down how modern protection systems classify traffic and how risk evaluation works. What you’ll see in practice: – what risk scoring is and how it classifies traffic using measurable signals – key factors: IP origin, request frequency…
👍1🔥1
CloudScraper is often treated as a quick fix for Cloudflare-protected sites, but in practice its effectiveness depends on session handling, request patterns, and proxy quality. This guide explains how CloudScraper works with Cloudflare checks and why proxy configuration directly affects automation stability. Inside the article, we cover: - how CloudScraper handles JavaScript challenges, headers, cookies, and redire…
Automation is rarely blocked instantly at scale. Modern websites observe behavior over time, scoring requests through accumulated signals rather than single-rule decisions. This video explains how automation is detected in 2026 and why most systems degrade instead of failing outright. What you’ll see in practice: - automation is evaluated through probabilistic, behavior-based detection rather than simple blocking r…
👍2❤1
Most teams exploring IPRoyal alternatives already have proxy setups and working data or automation workflows. This comparison outlines how providers differ in pricing, geo targeting, stability, compliance, and workload fit. What the guide covers: - what IPRoyal is and its main use cases (SEO, scraping, ads, multi-account setups) - key selection factors: pricing, targeting depth, stability, compliance - comparison o…
Web scraping pipelines often fail not at execution, but at system level when moved from testing to production under real scale and protection mechanisms. This video explains why scraping should be treated as a distributed system and how failures emerge across the full data pipeline. What you’ll see in practice: - web scraping operates as a distributed system with requests, retries, parsing, ingestion, and analytics…
Proxy providers in 2026 are selected based on workload requirements, infrastructure compatibility, and operational stability. This guide explains how proxy infrastructure is used across SEO, advertising, automation, and data collection, and what factors are considered when choosing a provider. What the guide: – what proxies are and how they function as an IP layer – proxy types and their use cases (residential, mob…
❤2👍1
In 2026, proxy servers are part of core business infrastructure. In this article we explain why companies rely on proxies not just for anonymity, but for traffic control, automation, and secure access to online platforms at scale. Key use cases covered: - protecting corporate data and DevOps workflows - managing traffic and access in large organizations - web scraping, SEO, and data analytics automation - stable ac…
👍1
Managing multiple cloud phones without proper proxy control doesn’t scale. In this video, we show how to set up proxies in DuoPlus and run multiple cloud phone sessions — each with its own proxy and region. What you’ll see in practice: - how to add proxies manually and in bulk; - supported proxy formats and validation via IP checker; - how to assign proxies to existing cloud phones; - how different proxies and GEOs…
Showing the 12 most recent of 20 posts we hold for @proxy_seller. 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 — 1,051,999 of 1,169,250entries 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“ProxySeller” (@proxy_seller), 6,196 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/proxy_seller.
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.