Posted without readable text

Channel
Core AI Prompts
@CorePrompts
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
479subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002191264539 |
|---|---|
| Type | Channel |
| Username | @CorePrompts |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/CorePrompts |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 16:30 | 479 | -1 |
| 7 Aug 2026, 03:17 | 480 | first reading |
Engagement
19 posts held, back to 24 February 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- —
- no view readings in window
- Avg views / post
- —
- no view readings
- Reaction rate
- —
- this channel exposes no reaction counts
- 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.
| Window | Rolling 30 days · latest post in window 24 July 2026 |
|---|---|
| Posts held | 19 (24 February 2026 – 24 July 2026) |
| Views total | — |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:17 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
36 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 69.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 69.4% | |
| 👎 | 4 | 11.1% | |
| 👏 | 3 | 8.33% | |
| 💯 | 2 | 5.56% | |
| 👍 | 1 | 2.78% | |
| 🔥 | 1 | 2.78% |
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 12 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 36reactions 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 24 February 2026 to 24 July 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.
Recent posts
if you want a 2x speed up on something and you ask an agent it’ll come back with sorry the best I could find was 1.5x :( if you instead ask for 50x it’ll come back saying sorry the best I could find was 30x :( then use that one
❤2💯2
Signed Anthropic
The 17 most valuable prompts you can ask ChatGPT, Claude, OpenClaw, and Hermes: 1. What patterns exist across all my ideas, projects, goals, and convos that I’m not consciously seeing? 2. Can you present to me a comprehensive list of all skills I’ve entertained, demonstrated, explored, discussed, or partially developed across all chats, sessions, and memory? 3. Which of my ideas, skills, or projects has the best c…
❤5
10,000 Nano Banana Pro Prompts with previews all in one place You’re welcome https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts
🌊 SYS PROMPT LEAK 🌊 Claude Design has arrived, and its nearly 10,000-word system instructions have some interesting things going on! Enjoy 🤗 SYS PROMPT: https://t.co/eq7bSSfn5S
🚰 SYSTEM PROMPT LEAK 🚰 Wow, this thing is MASSIVE! Here's the full system prompt for Claude Opus 4.7! OPUS-4.7 SYS PROMPT: https://github.com/elder-plinius/CL4R1T4S/blob/main/ANTHROPIC/Claude-Opus-4.7.txt
❤1
A list of insane prompting techniques that will genuinely change how you use AI. (just tell your Claude agent to teach you these): • Chain-of-thought (COT) prompting • Socratic prompting • Reverse-prompting • Drip-feed context management • Interview prompting • Role + Task + Constraint (simple prompting style) • JSON/XML tags Just implementing a few of these will dramatically change your AI responses.
❤2👎1
Signed M R X
Check Comments
👎1
🚰 SYSTEM PROMPT LEAK 🚰 Here's the full Muse Spark system prompt from Meta! :-
❤2👎1
This method uses 75% less tokens while taking to claude. normal claude: ~180 tokens for a web search task caveman claude: ~45 tokens for the same task "I executed the web search tool" = 8 tokens caveman version: "Tool work" = 2 tokens every single grunt swap saves 6-10 tokens. across a FULL task that's 50-100 tokens saved why does it work? caveman claude doesn't explain itself. it does its task first. gives the …
❤2👎1
interview me until you have 95% confidence about what i actually want, not what i think i should want.
❤3
Write it so someone who is considered mentally handicapped could understand what you mean.
Showing the 12 most recent of 19 posts we hold for @CorePrompts. 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.
Citation-graph rank
Citation-graph rank — 748,619 of 1,160,990entries 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.
Mentions
Named by 2 registered channels — 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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Core AI Prompts” (@CorePrompts), 479 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/CorePrompts.
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.