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Channel

Everyday Unity

@everydayUnity

On this record: Growth · Engagement · Reactions · Stars · Posts · Cite this entry

1,167subscribers

+7 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001371766581
TypeChannel
Username@everydayUnity
CreatedBetween 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/everydayUnity

Growth

1,1581,1671,162.57 August 2026 — 1,160 subscribers7 August 2026 — 1,160 subscribers13 August 2026 — 1,158 subscribers17 August 2026 — 1,164 subscribers20 August 2026 — 1,165 subscribers24 August 2026 — 1,166 subscribers27 August 2026 — 1,167 subscribers7 August 202627 August 2026
7 measurements spanning 20 days, net +7. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,157–1,168 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 09:121,167+1
24 Aug 2026, 19:151,166+1
20 Aug 2026, 20:061,165+1
17 Aug 2026, 10:171,164+6
13 Aug 2026, 15:461,158-2
7 Aug 2026, 23:341,160no change
7 Aug 2026, 21:051,160first reading

Engagement

19 posts held, back to 23 March 2026the 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.

ERR · 30 days
30.7%
avg views ÷ 1,167 subscribers
Avg views / post
358
1 post measured
Reaction rate
2.79%
reactions ÷ views · ER floor
Posts in window
1
of 19 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held19 (23 March 20265 August 2026)
Views total358
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:34 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.

Reaction mix

221 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 67.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥15067.9%
👍4821.7%
💯209.05%
🗿31.36%

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 19 of the 19 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 221reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 23 March 2026 to 5 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.

Telegram Stars

Stars received
12
across the posts below
Posts paid on
6
of 19 we hold a reading for · 32%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @everydayUnity. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 19 most recent posts we hold for this entry, published 23 March 2026 to 5 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

5 Aug 2026, 10:08 UTC358 views10 reactionsread 7 August 2026

Ponytail Skill for Claude Code: Does It Really Cut Tokens An interesting read about measuring token savers. Shows how you can compare different tools if you have enough time 💀 https://blog.jetbrains.com/ai/2026/07/ponytail-skill-claude-tested/ #ai

🔥8👍2

22 Jul 2026, 18:57 UTC617 views9 reactionsread 7 August 2026

How Claude Code Uses Prompt Caching I believe it's important to know what prompt caching is and how it helps save costs. On this page, I would pay attention to what resets the cache, how agents affect it, how to check your cache usage, and TTL. One advice I didn't follow before: Compaction works in your favor when the context you discard is content you no longer need. To choose when its overhead happens, run /comp

🔥6👍3

21 Jul 2026, 14:36 UTC507 views11 reactions5 Starsread 7 August 2026
Photo

Meet the Unity CLI: manage Unity from your terminal I had multiple posts about how I used godot because of great cli tools and now its time to test if Unity can match it. Seems like it doesn't have a lot of stuff yet, but it allows agents to eval any code without full recompilation and domain reload. So in theory agents can do any custom work with this command. Has anyone tested it already? https://unity.com/blog/

🔥10👍1

21 Jul 2026, 14:09 UTC480 views10 reactions1 Starread 7 August 2026
Photo

I transitioned my roguelike game from 2D to 3D to test Sol Ultra when it was released 1.5 weeks ago. I def can say it was a successful experiment. The game was working, but lacked a few animations I had before. I initially used original sprites as billboards in 3D world, but then eventually swapped it with very simple models. The game transformed from a simple 2d board to a stylized 3d after I threw in a few shaders

🔥9👍1

12 Jul 2026, 18:51 UTC644 views14 reactionsread 7 August 2026
Photo

Just now Open AI temporarily removed the 5h limit. It's an interesting addition to the morning discussion we had here about hitting the 5h limit with sol ultra in 18-40 mins. I hit the 5h limit twice today and have only 32% of a weekly limit left. Thanks Open AI, now I can spend my weekly limit in around 1.5 hours 💪💀

👍11🔥3

12 Jul 2026, 09:01 UTC605 views14 reactionsread 7 August 2026

I have been testing 5.6 Sol lately and haven't seen a really big difference to the old model when I used it with medium, high, extra high effort. The only thing that surprised me was a co-op bot for my roguelike game. You press a bot run button on the host and it runs kinda optimal strategy and plays the game from all clients. It was done in around 2 prompts and works very well. I was able to catch around 6 bugs alr

💯13👍1

11 Jul 2026, 17:47 UTC488 views10 reactionsread 7 August 2026

12-Factor Agents for development workflows It is mostly a guide, not a library you install and build your game on top of. There are some supporting packages and workshops in the repo, but the core value is the principles for building reliable agents. The guide pushes against the "big prompt + tools + loop until done" approach. I have been using AI coding workflows for multiple years already and that's the part whe

🔥7👍3

9 Jul 2026, 19:15 UTC497 views15 reactionsread 7 August 2026

Since May I have been working on a roguelike prototype, first in Three.js and now in Godot. I started with Three.js because it was the fastest way to check the idea. After a small playtest with my friends, when I verified that it is fun at least for me in coop, I decided to move it to a real engine. I picked Godot, even though it is my first game with it. And then I saw a long loading time. Of course, the first temp

🔥15

24 May 2026, 17:48 UTC≈1,000 views6 reactionsread 7 August 2026

Antigravity 2.0 update after a small real test. I finished 2 small tasks on my relatively small prototype with it. Nothing huge: 2 PRs, around +250 and +50 lines of code, with code review by 4 agents. Gemini 3.5 high. The result was useful, but the cost in limits was not that inspiring: around 80% of the 5h limit used on the $20 Google AI Pro subscription. It feels close to the painful Claude limits problem. And n

👍5🔥1

24 May 2026, 14:34 UTC851 views11 reactionsread 7 August 2026

I switched to Codex a while ago because Claude limits were brutal for my workflow. Not even coding at first. I was hitting the 5h limit after 4-5 prompts about my GDD. For a small prototype. Opus was basically no-go for me, and Sonnet was useful, but not producing the same level of results for the work I needed. Then Codex mobile landed, and it closed the only big gap in my workflow. I could continue the same "writ

🔥8👍3

Showing the 12 most recent of 19 posts we hold for @everydayUnity. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Cite this entry

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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“Everyday Unity” (@everydayUnity), 1,167 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/everydayUnity.

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.