Dating App – the first dating app in Telegram to find your Crush in the places you love ❤️ @datingapp #dating #love
❤1

Channel
@emrata
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
109subscribers
+3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001771000163 |
|---|---|
| Type | Channel |
| Username | @emrata |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/emrata |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 20:45 | 109 | +1 |
| 14 Aug 2026, 17:15 | 108 | +2 |
| 9 Aug 2026, 08:32 | 106 | no change |
| 6 Aug 2026, 09:12 | 106 | first reading |
14 posts held, back to 20 July 2023 — 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 pageof 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 14 posts for this entry, the most recent from 30 July 2024. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
62 reactions across 8 posts, in 8 distinct kinds. The most used accounts for 56.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 35 | 56.5% | |
| 🥰 | 13 | 21.0% | |
| 🍌 | 4 | 6.45% | |
| 🌭 | 3 | 4.84% | |
| 🔥 | 3 | 4.84% | |
| 💯 | 2 | 3.23% | |
| 👍 | 1 | 1.61% | |
| 👎 | 1 | 1.61% |
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 11 of the 14 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 62reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 20 July 2023 to 30 July 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Dating App – the first dating app in Telegram to find your Crush in the places you love ❤️ @datingapp #dating #love
❤1
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Business casual @emrata
❤13🍌4👎1
Fallon ! I brought a special guest on. @emrata
🥰6❤3🌭3💯2👍1
What fresh hell is this @emrata
🔥1
This gives Facebook/tech/Zuck THE MOST POWER. If he can shut the president up/off he can shut any of us up/off @emrata
Anyone else feel like proper amount of capital police being absent/letting Trump people in/providing insane visuals of MAGA dudes on the floor of the house was wildly convenient to justifying big tech’s rollout of censorship? @emrata
Also I’m just so confused why everyone wants to resist any criticism of Obama? This isn’t Star Wars. There is no dark side vs Jedi. Politicians on BOTH the right & the left need to be criticized & held accountable so that they don’t pander to corporate & neoliberalist agendas @emrata
@emrata
Em🐀a @emrata
❤10
Eternal Easter vibe 🥕 @emrata
❤5🥰3
Showing the 12 most recent of 14 posts we hold for @emrata. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“Emily Ratajkowski” (@emrata), 109 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/emrata.
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.