Kirill ✓
@kirillk_web3 · Private Telegram · joined 17 Dec 2013
AI Influencer × Web3 Creator Focused on Crypto & AI tools Claude · Bots · Wallet flows · Probabilities my tg @kirillk_h
40 777Followers
1 099Following
5 778Posts total
15.4MViews on collected posts
Latest posts
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me and my ChatGPT after I learned how to actually prompt it from this guide https://t.co/KGLzbyr1F3
1.4K views · 2 likes
· 0 reposts · 0 replies
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0:11
> be a Korean developer
> everyone's chasing the flashiest model
> you watch people stay stuck writing prompts, blaming the model when it breaks
> so you map the whole thing out: Prompt, Context, Loop, Graph
> each stage fixes what the last one couldn't
> a prompt gets one https:
966 views · 0 likes
· 1 reposts · 0 replies
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0:22
CANCEL your Wednesday plans.
study this: THE OFFICIAL GUIDE TO PROMPTING GPT-6 ASTRA.
your old prompts will fight this model, not help it.
> it stops to ask, so prompt it to act on its own
> spell out that your instructions outrank skill files
> it over-delegates, dial that ht
5.2K views · 5 likes
· 0 reposts · 1 replies
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0:10
The Anthropic CEO after OpenAI dropped an official guide on prompting GPT-6 Astra https://t.co/jBZNbFjexS
4.9K views · 12 likes
· 1 reposts · 3 replies
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0:13
OPENAI JUST DROPPED THE OFFICIAL GUIDE TO PROMPTING GPT-6 ASTRA.
the counterintuitive part: your old prompts will fight this model, not help it.
Bookmark this guide before you forget.
> it stops to ask more, so prompt it to act on its own
> it's sensitive to skill files, spell
9.9K views · 23 likes
· 2 reposts · 3 replies
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0:23
A Korean developer just explained the jump from Prompt Engineering to Graph Engineering better than anyone.
Bookmark this guide, most people are still building agents the way that's about to be obsolete.
> Prompt, Context, Loop, Graph: each stage fixes what the last couldn't
>
14.6K views · 170 likes
· 44 reposts · 1 replies
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14:38
@kirillk_web3 That's the real frontier for swarms: "speed without verification produces scaled-up errors."
Hundreds of parallel workers need shared context with provenance, conflict handling, and access permissions.
Shared context graphs are the missing primitive https://t.co/
3.1K views · 33 likes
· 12 reposts · 0 replies
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@kirillk_web3 "Kimi runs 300 agents in parallel to complete one task. Meanwhile most businesses don't even have one AI agent talking to their website visitors. The gap is wild
566 views · 1 likes
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@kirillk_web3 It is ironic to see Chinese AI companies democratizing intelligence, while American AI companies keep it closed off.
22K views · 116 likes
· 5 reposts · 7 replies
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@kirillk_web3 Kimi users right now https://t.co/eQqXMKpnN1
2.6K views · 4 likes
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0:24
My private telegram👇 https://t.co/b5HedwfJkb
Link Youtube - https://t.co/wFDobtM2JV
316.3K views · 35 likes
· 4 reposts · 0 replies
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instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company
it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale
useful whether you've never built an agent in your life
13.9M views · 16.9K likes
· 2.1K reposts · 106 replies
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39:17
Against accounts of the same size
6 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views5 080this account956median for 10K–100K
Reach, %12.46%this account3.59%median for 10K–100K
Engagement, %0.21%this account1.96%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 5 080 | 956 | 5.31× |
| Reach (views ÷ followers) | 12.46% | 3.59% | 3.47× |
| Engagement rate | 0.21% | 1.96% | 0.11× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
278.1K3 Apr
911.1K21 May
13.9M
316.3K22 May
2.6K23 May
22K
56624 May
3.1K
14.6K8 Sep
9.9K9 Sep
4.9K
5.2K
966
1.4K10 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.21%3 Apr
0.07%21 May
0.14%
0.01%22 May
0.16%23 May
0.58%
0.18%24 May
1.43%
1.47%8 Sep
0.28%9 Sep
0.33%
0.11%
0.10%
0.14%10 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.96%.
What the audience does
Likes23.3%18 308 in total
Reposts3.1%2 407 in total
Replies0.2%149 in total
Bookmarks73.4%57 695 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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