Channel
@uslyapp0
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
96subscribers
-8 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002336639100 |
|---|---|
| Type | Channel |
| Username | @uslyapp0 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/uslyapp0 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 15:18 | 96 | -1 |
| 28 Aug 2026, 07:17 | 97 | -1 |
| 21 Aug 2026, 03:46 | 98 | -5 |
| 15 Aug 2026, 04:46 | 103 | -1 |
| 9 Aug 2026, 09:30 | 104 | no change |
| 8 Aug 2026, 00:03 | 104 | first reading |
20 posts held, back to 20 July 2025 — 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 20 posts for this entry, the most recent from 11 April 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
35 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 54.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 54.3% | |
| 🔥 | 13 | 37.1% | |
| 👍 | 3 | 8.57% |
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 15 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 35 reactions 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 20 July 2025 to 11 April 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.
Usly Update — v1.9.0 🚀 Version 1.9.0 is now live — bringing deeper analytics and smoother performance across the platform. What’s new: • Creator-level tracking for more precise performance insights • Advanced chatter sales analytics (tips, media, PPV, response time, and more) • Full visibility of sent messages directly inside the platform Improvements: • Faster messaging speed • Notifications system debugged and s…
🔥1
What Changed After Switching to Usly How do agencies know that a CRM actually works? When there’s less manual work and more profit💰 We asked one agency that recently started using Usly: What changed after switching? Here’s what they told us: • it became easier to monitor chatters • no more manual checking of everything • all models are now in one place • it’s easier to understand where revenue is actually comin…
🔥1
Fansly just rolled out an update — now fans have a card icon next to their username 👀 Looks like they’re trying to segment users based on spending levels. Here’s what we’ve noticed so far: 💙 — card connected, no spend 🤎 — up to ~$150 🤍 — $$–$$$+ (most consistent group: often new users with potential or ~$100–200 limits) 💛 — $$$–$$$$+ 💜 — $$–$$$$$+ whales But here’s the catch: the distribution isn’t very consisten…
❤1
Agencies and Operational Problems One of the most honest things an agency owner recently told us: “We thought the problem was traffic. Turns out the real problem was the system.” They had everything: good traffic, models, a team of chatters. But: • different scripts • different approaches • no clear analytics And money was simply getting lost inside the processes 💸 Once everything was organized in one system, …
❤1
What Agencies Like Most About Usly We recently asked Usly users: Which feature helps you the most in your daily work? Here are the most common answers: • one-click switching between models • FYP analytics • chatter performance statistics • quick scripts for the team The interesting part: Many users say they started using Usly because of one specific feature… and a month later they realize they’re using everyth…
The Most Common Problem Agencies Face We talk to Fansly agencies quite often, and there’s one issue we hear over and over again: chatter control Agencies say: “Either you check everything manually, or you don’t really know who’s bringing in the money»💸 With Usly, this becomes much easier: • statistics for each chatter • transparent analytics • clear visibility of where real sales come from Control stops being …
❤1
Why Agencies Start Looking for a CRM We recently asked several agencies: At what moment did you realize you couldn’t operate without a CRM anymore? The most common answers were: 1️⃣ When the number of models starts growing 2️⃣ When a team of chatters appears 3️⃣ When revenue is coming in, but it’s unclear who is actually generating it And that’s when the main question appears: “Why does everything seem to work,…
❤1
Usly EN 🇬🇧 pinned a photo
Welcome to the Usly community 💙 Usly is a CRM built specifically for Fansly agencies and creators. It helps you organize operations, increase revenue and scale without chaos 🚀 What Usly gives you: • manage multiple models in one interface • one-click switching between accounts • clear stats for chatters and revenue • scripts and quick messages for your team • content & FYP analytics to see what content actually wo…
❤2🔥2
🚨When growth creates more problems than profit At first, scaling a Fansly agency feels exciting. More models, more chatters, more revenue. Then suddenly you’re not growing — you’re firefighting. You’re checking chats instead of building strategy. You’re guessing who performs better instead of seeing clear numbers. You’re fixing coordination issues instead of focusing on profit. Growth without structure doesn’t mu…
🔥1
CRM fears — and why they don’t apply to Usly When people think about CRMs, three fears always show up: 🔹 security 🔹 complexity 🔹 cost Let’s break them down with real Usly facts. 1. Security — not a risk, but control Access rights are managed and restricted. Usly also uses its own optimized infrastructure for stable connections — it doesn’t expose your data to random third parties. 2. Complexity — that’s actually …
❤3
The most common fears about using a CRM Almost every agency has the same thoughts when CRM comes up: “Is it safe?” Sharing access and data sounds risky. “It’s probably too complicated.” Feels like you’ll have to rebuild everything and retrain the whole team. “It’s expensive.” And what if it doesn’t even pay off? So agencies stay with spreadsheets, chats, and chaos — even though that’s what actually costs them mo…
❤1🔥1
Showing the 12 most recent of 20 posts we hold for @uslyapp0. 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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“Usly EN 🇬🇧” (@uslyapp0), 96 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/uslyapp0.
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.