When an Indian Widow’s Village Met DAO: How a London Crypto Analyst Broke the NFT Liquidity Code with AI

The Algorithm That Broke the Grid

Last week, my AI agent on MyShell generated a 90-second video titled ‘Labubu’—a fictional token born from the collision of Mumbai’s ritual economies and Ethereum’s cold wallets. It hit 210,000+ plays in seven days. Not because it was flashy. But because it was true.

I’m not here to sell memes. I’m here to measure liquidity—not just volume, but depth. On-chain data doesn’t lie if you know how to read it.

Why Labubu Matters

Labubu isn’t a character. It’s a symbol: the intersection of inherited colonial logic and decentralized identity. In Mumbai, elders trace value through ancestral tokens—just as we trace NFT ownership on-chain in DeFi protocols. My model doesn’t mimic Web2 virality; it maps behavioral signatures buried under gas fees.

The Cold Wallet Ethos

I grew up between two worlds: the quiet calculus of Buddhist mindfulness and London’s empirical finance culture. I don’t believe in hype—I collect hardware that remembers what real value looks like.

My tools are Python scripts tracing token movements across shards—not TikTok dances, but economic gravity waves.

This isn’t content creation—it’s cryptographic ethnography.