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143.3K views
Create a RAG agent in under 10 lines of code that can browse the web, run code, and more with Llama Stack. Watch the video below to see how.
71.7K views
We’ve updated the official Llama repo on GitHub with new inference code, reference implementations and more for working with Llama 4 ⬇️
llama-models: https://t.co/vb2svFpmwP
llama-stack: https://t.co/qYPPvtJOsj
llama-cookbook: https://t.co/mmg4mxwaHl
39.3K views
Learn how our custom silicon and chips are revolutionizing AR inside Orion, our first true AR glasses product prototype.
Read more on our blog ⬇️
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🔥 Top post: Create a RAG agent in under 10 lines of code that can browse the · 143.3K views
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🔥 Top post
Create a RAG agent in under 10 lines of code that can browse the web, run code, and more with Llama Stack. Watch the video below to see how.
We’ve updated the official Llama repo on GitHub with new inference code, reference implementations and more for working with Llama 4 ⬇️
llama-models: https://t.co/vb2svFpmwP
llama-stack: https://t.co/qYPPvtJOsj
llama-cookbook: https://t.c…
Learn how our custom silicon and chips are revolutionizing AR inside Orion, our first true AR glasses product prototype.
Read more on our blog ⬇️
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🛡️ Audience credibility
- Est. 69% real, active audience · Medium fake-follower risk.
- Low engagement (~0.1× of followers engage each post) — a sign of an inflated or inactive audience.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (16+ years old).
- 0.18% engagement — below the ~14.4% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
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🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
Ado Staff
18%
Sean Carroll
18%
Noble
17%
六二二同学
13%
ムロマキ@『百合に恋した101日間』発売中
12%
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11%
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