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The IoTeX team is in San Francisco for #SFTechWeek 🌉
We're here to talk about one idea: intelligence is leaving the data center, and it needs an open, verifiable network to work together.
If you're building with local AI, agents, inference or intelligent machines, let's meet.
2.5K views
IoTeX Network ♥️ SF
📊 Post performance
🔥 Top post: IoTeX v2.5.0 (Zanzibar Hardfork) is officially out! 🌐 MainNet a · 63K views
📊 Activity & format
Recent posts
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IoTeX Network ♥️ SF
The IoTeX team is in San Francisco for #SFTechWeek 🌉
We're here to talk about one idea: intelligence is leaving the data center, and it needs an open, verifiable network to work together.
If you're building with local AI, agents, infere…
An early glimpse of something we've been working toward.
Local AI on a Mac has always served one person, its owner. With Share Compute, @rapidmlx and @qspro_ai are testing whether that same Mac can serve real API traffic for others.
Firs…
Any open model, from anywhere, running on your own Mac, plugged straight into your agents.
Rapid-MLX 0.15.6:
• Point it at any Hugging Face checkpoint and it serves it
• One command to wire local models into Codex, Claude Code and mor…
💡 Facts
🕵️ Fake follower check
Estimated- Est. 69% real, active audience · Medium fake-follower risk.
- Low engagement (~3.1% 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 (8+ years old).
- 0.08% engagement — below the ~2.2% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
Cherdantsev
18%
Brian Harrod
17%
BRIT Awards
17%
Acelino Popó Freitas
15%
narendramodi_in
13%
College Sports Only
11%
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