Head of Finance @vana — open data infrastructure for human-grounded AI. Founder @cryptyx_ai prev. Immutable, Barclays | Melbourne

Melbourne, Australia
Data portability now has an economy. Every time a person's data moves on Vana, with their permission, the network is paid. One grant, read again and again. A split written into the protocol. I wrote up how it works, and why it's built the way it is.
Article

Data portability now has an economy

For most of its life, Vana earned in one way. Many people pooled their data into collectives, and the network was paid when those pooled datasets were accessed. That built the network. But the market

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The response to the expansion of staking on @vana has been encouraging. As of 6 October, almost 60% of all delegated stake has migrated to the new pools. Meanwhile, total delegated stake on Vana rose 11.4% between 27 September and 6 October. 60% of protocol fees are directed to stakers. Open data infrastructure for AI hardens as commitment increases. That is the only kind of commitment worth building on. Existing stakers can migrate to a new pool at stake.vana.org by midnight UTC on 31 October 2026. Live figures are readable on the public dashboard at token.vana.org.
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Data portability now has an economy. In a couple of hours @artieart88 and I walk through how it works: reads, fees, staking, burn, and why it was built to extend.
Vega is live. Let's talk numbers. LIVE on X - Thursday 1 October, 09:00 Singapore / 10:00 Seoul (18:00 Wednesday Pacific) - @GCudrig answers your questions on reads, fees, staking and burn. Set a reminder:
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Aten says he declined the permission. Muse's settings showed it enabled. Meta called it opt-in. None of those is a record. Each can change without a trace, and there's nothing to check it against. Agents acting on permission need permission that can be proven and revoked.
Vana solves this.
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Blackrock just published on autonomous machine transactions. Not a crypto argument anymore. It's institutional. Coinbase, Stripe, Google, Visa. Five protocols for the payment layer. The contested layer is what machines are permitted to act on. Value here is data moving.
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
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Vega doesn't say how much Vana earns. it says when Vana earns. Dataset deals were periodic and few. Now the network earns every time one person's data moves, and agents look things up thousands of times a day. That's what infrastructure looks like.
The Vega upgrade is live, as set out in the January roadmap. Four things to know. 1. AI models are pretty good now. What sets one apart is context: what the model knows about the person asking. AI tools and agents look that up thousands of times a day. Every one of those lookups is your data moving. That is data portability. 2. On the internet, your data moves instantly. It moves between platforms without you in the loop. Vana moves your data where you choose and keeps your permission on record. The Vega upgrade brings that to the same speed: about a twentieth of a second. 3. Governments need the same thing. Most countries have laws that allow you to take your data with you. Almost none had a working way to do it until Vana wrote the standard for how personal data moves. It is now hosted by the Linux Foundation, and governments globally are already scoping national implementations. 4. The Vana network has always earned when pooled datasets were accessed. As of the Vega upgrade, it also earns every time one person's data moves. Every data portability transaction pays the network. Someone moves their data to an app. The app reads it. The network earns. Want to know more? 🔗👇
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Give away the rulebook, keep the network. A standard only gets adopted if nobody owns it — but the volume it unlocks accrues to the original implementation. That's us. Value here is data moving. A standard is what makes it move more.
The protocol Vana runs on is now hosted at The Linux Foundation. And next Thursday, it is being presented to the groups that define the internet at the Global Digital Collaboration Conference #GDC2026 in Geneva. Big week for personal data. Here's what's happening.
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Regime Detection: A Multi-Factor Approach to Digital Asset Intelligence open.substack.com/pub/gianca…
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Giancarlo Cudrig (GC) retweeted
Every night, our AI agent evaluates every metric, grades every signal, and proposes improvements. It doesn't sleep. It doesn't have bias. It just optimises. And soon, agents won't just evaluate — they'll execute. The intelligence layer is the moat.
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Execution without intelligence is just faster ways to lose money. Every exchange is building agent APIs. The differentiation is in the conviction layer that feeds those APIs. @cryptyx_ai is that layer.
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How multi-factor regime detection actually works — a thread. 1/ Most crypto analysis uses one indicator at a time. RSI overbought? Sell. Funding negative? Long. This is astrology with charts.
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7/ The key insight: it's not about any single factor being right. It's about detecting when factors disagree — because divergence between factor classes is one of the strongest leading indicators of regime change.
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8/ Every night, our AI agent evaluates every signal's predictive power against forward returns, proposes parameter improvements, and validates them statistically before any human sees them. The system gets better autonomously. This is what institutional-grade means. Not a dashboard. A research platform.
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