Posted without readable text
Signed Chihiro

Channel
@litera_read
On this record: Growth Β· Engagement Β· Reactions Β· Posts Β· Cite this entry
8,903subscribers
+305 since we began measuring on 7 August 2026
Risers and fallers across the register Β· movement among entries of 3,162β10,000.
| Telegram ID | -1003059278136 |
|---|---|
| Type | Channel |
| Username | @litera_read |
| Created | Between 1 August 2025 and 31 October 2025β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/litera_read |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 13:26 | 8,903 | +62 |
| 28 Aug 2026, 16:24 | 8,841 | +39 |
| 25 Aug 2026, 15:18 | 8,802 | +57 |
| 22 Aug 2026, 21:25 | 8,745 | +84 |
| 19 Aug 2026, 14:37 | 8,661 | +2 |
| 16 Aug 2026, 19:53 | 8,659 | +21 |
| 13 Aug 2026, 14:38 | 8,638 | +4 |
| 11 Aug 2026, 01:01 | 8,634 | +36 |
| 7 Aug 2026, 22:00 | 8,598 | no change |
| 7 Aug 2026, 21:53 | 8,598 | first reading |
22 posts held, back to 10 April 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 26 pagesof Telegramβs post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) Γ· viewsβ note the denominator is views, not subscribers. Telegramβs public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days Β· latest post in window 25 August 2026 |
|---|---|
| Posts held | 22 (10 April 2026 β 25 August 2026) |
| Views total | 6,732 |
| Reactions total | 42 |
| Forwards / comments | not exposed by the public surface β not measured, not estimated |
| Readings taken | 28 Aug 2026, 16:12 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
303 reactions across 21 posts, in 7 distinct kinds. The most used accounts for 72.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 220 | 72.6% | |
| π₯ | 43 | 14.2% | |
| π | 27 | 8.91% | |
| π | 5 | 1.65% | |
| π | 3 | 0.99% | |
| π₯° | 3 | 0.99% | |
| β€βπ₯ | 2 | 0.66% |
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 21 of the 22 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 303reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 22 most recent posts we hold, published 10 April 2026 to 25 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.
Posted without readable text
Signed Chihiro
Our service is used all over the world Hey everyone! Alex here π We often say that people read us from all over the world. And it's not just words. Just look at the numbers. π Our service is used by people from more than 30 countries. Here's the top 5 by geography: China β 31% USA β 15% Poland β 8% Hong Kong β 4% India β 4% And other countries (Netherlands, Finland, Japan, Brazilβ¦) Now about languages. The websβ¦
β€14π₯1
Signed Chihiro
New blog post: July Wrapβup with Alex: Notifications, Bookmarks, and Optimization Insights π Hey everyone! Alex here π I recently published a fresh article on our blog and wanted to share it with you. What's inside? π July updates: what we've accomplished this month π New notification system, so you never miss a thing π Bookmarks, by the way, have you tried them yet? β‘οΈ And our thoughts on optimization: how we'reβ¦
β€6π3
Signed Chihiro
Why we chose web over apps π Hey everyone! Alex here π Today I want to talk about why we chose web over native apps for Litera Reader. The main reason: we're in active development. Right now, Litera Reader is a living product. New features drop frequently, sometimes every couple of weeks. We're constantly improving the reader, adding functionality, and polishing details. And in this kind of dynamic environment, β¦
β€16π1π₯1
Signed Chihiro
π Bookmarks are finally here! Hey everyone! Alex here π When we started building the first version of the reader, weβ¦ totally forgot about bookmarks π Honestly? We thought: why do you need them if we already save your reading position? And for anchor points β there are highlights. Jump to any highlight from the social panel, and you're good. But all this time, one developer from a neighboring team kept asking: Soβ¦
β€12π3π3π₯2
Signed Chihiro
Notifications in the reader: keeping a finger on the pulse π Hey everyone! Alex here π Likes, comments, new features β we've already made quite a few steps toward our goal: building a living community around books And here's the next step. Things just got a little easier. We've added notifications right inside the reader. If someone likes your quote or replies to your comment β you'll see it in the top right cornβ¦
β€11π₯5π2
Signed Chihiro
Read online without downloading: sharing our API π Hey everyone! Alex here π This will be a tiny bit technical, but I'll break it down. We now have the ability to offer an API (think of it as a digital bridge) to other services that store text files. Imagine a university library with millions of textbooks and articles. What does a student usually do? Download a file, search for a program to open it, wait, strugglβ¦
π₯12β€6
Signed Chihiro
Devs vs. quotes: the battle continues π₯ Hey everyone! Alex here π We recently got together with the team at a coworking space and once again, we hit a wall with quotes. Seems simple: just show quotes and that's it, right? Nope. A book is a finite thing. First page, last page, clear volume. You finish reading β good job β grab the next one. But quotesβ¦ they're endless. For real. You can re-read the same book 10 tiβ¦
β€8π₯3
Signed Chihiro
Now quotes are talking Hey everyone! Alex here π Today I'm telling you about the latest update β commenting on quotes. Before, a quote was just a line in a book. You'd highlight it, save it, maybe like it. But now here's the thing: you can leave a comment under any quote. And even reply to someone else's comment. A quote no longer just hangs in the air. It's a reason to chat with others who are reading the same bβ¦
β€5π5
Signed Chihiro
How a like helps quotes get noticed Hey everyone! Alex here π Today I want to talk about likes. I've mentioned this topic in our blog before, but now let me go into a bit more detail. Imagine you're reading and suddenly come across a phrase that hits you, maybe makes you think. Or just seems really useful. What do you do? Hit like β€οΈ But it's not just "I like this." It's a signal: Hey team, check this out β this qβ¦
β€19π3
Signed Chihiro
New voice on air and blog post release Hey everyone! π This is Alexandra (you can call me Alex). Starting today, I'll be covering the events of our project for you. You know, we've decided to lift the curtain a little. To talk not only about features, but also about the team and our plans. So you see not just "another update", but how and why it comes to life. I've been with the project since the very first buildβ¦
β€16π₯2
Signed Chihiro
Thank you for your feedback π We read everything you share with us, and today weβd like to go over some of the most common requests. π Text-to-speech Many of you have asked about adding text-to-speech to Litera Reader. We hear you β and we agree, it would be a valuable addition. At the same time, itβs a complex feature to build properly. It involves more than just reading text aloud β it requires natural-soundingβ¦
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Showing the 12 most recent of 22 posts we hold for @litera_read. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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 31 August 2026 β this entry's latest reading, not the date you are reading this.
βLITERA Reader πβ (@litera_read), 8,903 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/litera_read.
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 Β· 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.