Channel
@sevenly_in
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
42subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002293569836 |
|---|---|
| Type | Channel |
| Username | @sevenly_in |
| Description | Daily Music Quiz. sevenly.in. All news and anouncements. |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/sevenly_in |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 17:16 | 42 | no change |
| 9 Aug 2026, 12:16 | 42 | first reading |
20 posts held, back to 5 August 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 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 10 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
7 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😱 | 6 | 85.7% | |
| 🥰 | 1 | 14.3% |
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 2 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 7 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 5 August 2026 to 10 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.
✨ Yesterday's Top Discovery 🎵 Let's Dance (2018 Remaster) by David Bowie (5 wows) 🎧 Listen on Spotify Single: Let's Dance (1983) Artist: 🎤 David Bowie — 13M followers · popularity 80/100 Latest release: Rock 'n' Roll Star! (2024) ──────────────── Song was included in quiz "Let's Dance!" by Postmr 🎮 Play today's quiz & discover more at sevenly.in
🔥 Weekly Wow Report (Last 7 Days) Total Wows: 210 🏆 7 Most Wowed Songs From the Last Week: 1. Let's Dance (2018 Remaster) - David Bowie (5 ✨) 2. what’s wrong with me - Olivia Rodrigo; Robert Smith (5 ✨) 3. Pink Glove - Pulp (5 ✨) 4. DANCE... - Slayyyter (4 ✨) 5. Kiss of Life - Sade (4 ✨) 6. Ocean Man - Ween (4 ✨) 7. All day and all of the night; Hello I love you - The Kinks; The Doors (4 ✨) 🎮 Discover more amazin…
🔥 Top 7 Hardest Songs This Week: 1. Daydream - The Aces Only 3.6% got it right! Who guessed: Haruspeak From quiz: "Less Known All-Female Rock Bands" by A.I. Sevenly 2. Words Get In the Way - Miami sound machine Only 5.6% got it right! Who guessed: sergioleone, Band4Band From quiz: "Traveling without Moving" by Postmr 3. I'm Not Gonna Teach Your Boyfriend How to Dance with You - Black Kids Only…
🏆 Tournament "Four letters only" finished yesterday! 👤 Author: lucky_me Top 7 🥇 dystopianby — 39 pts · 7/7 quizzes 🥈 Haruspeak — 38 pts · 7/7 quizzes 🥉 rakkauus — 38 pts · 7/7 quizzes 4. ZenBoy — 37 pts · 7/7 quizzes 5. etwasbesonderes — 36 pts · 7/7 quizzes 6. Pavel_A — 35 pts · 7/7 quizzes 7. berlioz — 34 pts · 7/7 quizzes 🎮 Play Sevenly.in every day and take part in our tournaments
💡 Yesterday's Quiz Results (AI) ⚡️ Topic: Popular Songs Released In 2005 👤 Generated by: A.I. Sevenly 👥 Total players: 31 📈 Overall success rate: 85.3% ✨ Total wows: 9 🏆 Top 7 Players: 1. Gufis: 7 (3.7s avg) 2. etwasbesonderes: 7 (4.3s avg) 3. zhenya_ranetka: 7 (4.6s avg) 4. Pavel_A: 7 (5.4s avg) 5. berlioz: 7 (5.4s avg) 6. Band4Band: 7 (5.9s avg) 7. furiousalina: 7 (6.0s avg) 🎵 Song Success Rates and Wows: • …
💡 Yesterday's Quiz Results (Author) ⚡️ Topic: Let's Dance! 👤 Curated by: Postmr 👥 Total players: 33 📈 Overall success rate: 67.1% ✨ Total wows: 17 🏆 Top 7 Players: 1. Pavel_A: 7 (3.4s avg) 2. zhenya_ranetka: 7 (3.7s avg) 3. bywaet: 7 (5.3s avg) 4. Anastasiya: 7 (5.7s avg) 5. hey_john: 7 (6.3s avg) 6. rakkauus: 7 (8.0s avg) 7. toro: 7 (8.3s avg) 🎵 Song Success Rates and Wows: • Fall Out Boy, Dance, Dance (84.8%…
✨ Yesterday's Top Discovery 🎵 Tangerine (Remaster) by Led Zeppelin (2 wows) 🎧 Listen on Spotify Album: Led Zeppelin III (Remaster) (1970) Artist: 🎤 Led Zeppelin — 17M followers · popularity 79/100 Latest release: Live EP (2025) ──────────────── Song was included in quiz "Citrusy Quiz" by xena 🎮 Play today's quiz & discover more at sevenly.in
💡 Yesterday's Quiz Results (AI) ⚡️ Topic: Songs From The Albums With Iconic Photo On The Cover 👤 Generated by: A.I. Sevenly 👥 Total players: 26 📈 Overall success rate: 52.2% ✨ Total wows: 8 🏆 Top 7 Players: 1. zhenya_ranetka: 6 (10.2s avg) 2. toro: 6 (12.3s avg) 3. Pavel_A: 5 (6.4s avg) 4. berlioz: 5 (7.2s avg) 5. dystopianby: 5 (9.2s avg) 6. pinkycheekss: 5 (13.2s avg) 7. Slash_96: 5 (14.0s avg) 🎵 Song Success…
💡 Yesterday's Quiz Results (Author) ⚡️ Topic: Citrusy Quiz 👤 Curated by: xena 👥 Total players: 26 📈 Overall success rate: 46.2% ✨ Total wows: 9 🏆 Top 7 Players: 1. dystopianby: 6 (10.5s avg) 2. hey_john: 6 (13.0s avg) 3. rakkauus: 6 (20.8s avg) 4. zhenya_ranetka: 5 (9.0s avg) 5. berlioz: 5 (9.2s avg) 6. etwasbesonderes: 5 (13.2s avg) 7. furiousalina: 5 (15.2s avg) 🎵 Song Success Rates and Wows: • Johnny Cash, …
✨ Yesterday's Top Discovery 🎵 what’s wrong with me by Olivia Rodrigo; Robert Smith (5 wows) 🎧 Listen on Spotify Album: you seem pretty sad for a girl so in love (2026) Artists: 🎤 Olivia Rodrigo — 56M followers · popularity 95/100 🎤 Robert Smith — 79K followers · popularity 73/100 Latest release: you seem pretty sad for a girl so in love (2026) ──────────────── Song was included in quiz "Collabs 3" by dystopian…
🥰1
💡 Yesterday's Quiz Results (AI) ⚡️ Topic: Some Good Old Heavy Metal Songs Featured In The Film ‘Heavy Metal’ 👤 Generated by: A.I. Sevenly 👥 Total players: 23 📈 Overall success rate: 26.1% ✨ Total wows: 4 🏆 Top 7 Players: 1. dystopianby: 5 (10.6s avg) 2. Eugenius_Loci: 5 (22.8s avg) 3. loshok: 4 (15.0s avg) 4. sergioleone: 4 (20.0s avg) 5. berlioz: 3 (11.3s avg) 6. hey_john: 3 (11.7s avg) 7. bywaet: 3 (19.7s avg)…
💡 Yesterday's Quiz Results (Author) ⚡️ Topic: Collabs 3 👤 Curated by: dystopianby 👥 Total players: 26 📈 Overall success rate: 42.3% ✨ Total wows: 13 🏆 Top 7 Players: 1. hey_john: 7 (13.9s avg) 2. Band4Band: 6 (20.5s avg) 3. etwasbesonderes: 6 (22.0s avg) 4. pinkycheekss: 5 (27.6s avg) 5. furiousalina: 4 (9.8s avg) 6. berlioz: 4 (11.8s avg) 7. Anastasiya: 4 (16.0s avg) 🎵 Song Success Rates and Wows: • Gorillaz;…
Showing the 12 most recent of 20 posts we hold for @sevenly_in. 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Sevenly” (@sevenly_in), 42 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/sevenly_in.
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.