Channel
@d3lta_hq
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
19,190subscribers
-482 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002323541513 |
|---|---|
| Type | Channel |
| Username | @d3lta_hq |
| Description | D3LTA is a Web3 venture studio. Our goal is to build the next era of successful Web3 projects. |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/d3lta_hq |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 07:44 | 19,190 | -14 |
| 29 Aug 2026, 07:34 | 19,204 | -18 |
| 28 Aug 2026, 05:54 | 19,222 | -19 |
| 27 Aug 2026, 07:14 | 19,241 | -21 |
| 26 Aug 2026, 07:04 | 19,262 | -24 |
| 25 Aug 2026, 04:14 | 19,286 | -28 |
| 24 Aug 2026, 02:15 | 19,314 | -33 |
| 22 Aug 2026, 11:26 | 19,347 | -31 |
| 21 Aug 2026, 04:16 | 19,378 | -15 |
| 20 Aug 2026, 06:04 | 19,393 | -18 |
| 19 Aug 2026, 09:28 | 19,411 | -27 |
| 18 Aug 2026, 11:56 | 19,438 | -21 |
| 17 Aug 2026, 09:26 | 19,459 | -38 |
| 15 Aug 2026, 14:58 | 19,497 | -27 |
| 13 Aug 2026, 23:56 | 19,524 | -37 |
| 12 Aug 2026, 17:53 | 19,561 | -17 |
| 11 Aug 2026, 16:52 | 19,578 | -35 |
| 10 Aug 2026, 18:11 | 19,613 | -24 |
| 9 Aug 2026, 20:31 | 19,637 | -17 |
| 8 Aug 2026, 19:23 | 19,654 | first reading |
41 posts held, back to 24 July 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 50 pagesof Telegram’s 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) ÷ views— note the denominator is views, not subscribers. Telegram’s 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 5 of 33 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 41 (24 July 2026 – 28 August 2026) |
| Views total | 4,404 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 23:31 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 “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — 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 — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 30 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
16 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 37.5% | |
| 👍 | 4 | 25.0% | |
| 🔥 | 3 | 18.8% | |
| 😁 | 2 | 12.5% | |
| 🙏 | 1 | 6.25% |
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 41 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 24 July 2026 to 28 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.
One of the least glamorous parts of iGaming is also one of the most important: registration. Every extra field, unexplained step or badly timed verification request creates another place for the player to disappear. That’s not an acquisition problem. That’s a product problem.
Players remember withdrawals differently from deposits. Deposits are designed for speed. Withdrawals are where expectations, verification and communication suddenly matter much more. A strong product doesn’t only explain how to put money in. It makes the way out clear too.
“Popular games.” Popular where? Popular with whom? One label. A lot of product decisions. Discovery gets much smarter when “popular” stops being one universal list.That’s exactly where local relevance becomes useful.
Anyone can merchandise a final. Tuesday afternoon is the real test.
What makes an iGaming product feel premium?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Sometimes the product does not need a rebuild Not every struggling iGaming product needs to start again. Sometimes the bigger win is finding the one journey, integration or mechanic creating most of the friction - and fixing that first. D3LTA works from strategy through development, which means the answer does not always have to be “build more.”
Loyalty should earn its place. A loyalty programme is only valuable if it changes what a player does next — not if it simply adds another points balance. Does the reward bring them back? Push them to explore more? Move them deeper into the product? Build a stronger reason to stay? That’s the real test of loyalty. At D3LTA, we see loyalty as part of the player journey- built to drive the next action, not added as …
50,000x max win and three different bonus modes — Hacksaw Gaming is going big with Ze Zeus. The new release combines Cluster Pays, cascades and high volatility in a fast-paced format built for players who want more action from every spin. Another launch showing just how quickly slot mechanics are evolving. At D3LTA, we keep a close eye on releases like this. Would you give Ze Zeus a shot?
❤1
A game mechanic has to do a job Missions, tournaments, streaks and rewards can all look appealing on a roadmap. The more important question is what behaviour each mechanic is meant to support. D3LTA designs gaming mechanics around participation, loyalty and commercial goals, with the mechanic serving the journey rather than the other way around.
Personalisation in iGaming should go beyond bonuses. 🎰 If two players behave differently, why should they see the same lobby and follow the same journey? That’s where personalisation gets interesting - when it changes the product itself, not just the banner. What would you personalise first? 👇
Esports audiences often multitask by default. Products built for them should take that behaviour seriously.
The perfect match ⚽️ The UEFA Champions League is back, and like millions of football fans around the world, we’re following every match, every goal, and every big moment. The tournament is only getting started, so there’s still plenty of drama ahead. What many people may not know is that D3LTA team is also building technology for modern sports gaming and iGaming. Would you like to see more behind-the-scenes updat…
Showing the 12 most recent of 41 posts we hold for @d3lta_hq. 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.
The 6 most recent of 7 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
What makes an iGaming product feel premium?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
What should an iGaming studio question first?
Shares as published, totalling 66%. No per-option vote count is published by Telegram, so none is shown.
What can hold back a promising iGaming product fastest?
Shares as published, totalling 50%. No per-option vote count is published by Telegram, so none is shown.
How do you see the future of Web3 Sports gaming in the future?
The shares total 125%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
What makes the best first impression on your iGaming players?
The shares total 150%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Do you see the golden age of DAO governance returning?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 41 most recent posts we hold, published 24 July 2026 to 28 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 222,185 of 1,627,445entries 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“D3LTA Announcements” (@d3lta_hq), 19,190 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/d3lta_hq.
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.