Today @ChrisJourdan and I talked about tokenizing stocks on chain, why there's arbitrage and why we see liquidity crunches when new tokens can be issued onchain. Let me know if you have any questions!

This is wild Farmmi, Inc. (FAMI: NASDAQ) is mooning from onchain trading through the "JINQIAN" / Money Mushroom meme pair Farmmi (FAMI) recently received a Nasdaq warning after trading below $1 for 30 consecutive sessions Degens then found “Jinqian” in the company’s own filings, literally meaning “money mushroom”, and launched $JINQIAN against tokenized FAMI The actual Nasdaq stock is now up 71% today on 139M volume, roughly 16x its daily average onchain meme → tokenized stock demand → viral screenshots → offchain penny-stock buyers Important caveat: FAMI is still only around $0.20 and must hold above $1 for 10 consecutive business days The meme hasn’t saved its listing yet, but it may have discovered the cleanest tokenized equity attention loop so far

GM Friends, another quick update on some new features getting shipped for LPLens. The next version of the extension will have 1) Better/More Efficient Syncs 2) Charting on Dexscreener 3) Side Panel/At a Glance Extension UI! Let me know if you're interested in trying out the extension, I'd love to give you a free beta key to test!

I think DeFi just found its next substrate: the entire stock market. A few thoughts on the DeFi renaissance brewing on Robinhood Chain: 1. Wrapped stocks are unlocking something we've mostly been missing all these years: on-chain exposure to real-world value. 2. Integrating stocks into LP pools with memecoins, building gamblefi around them, amassing stock-based treasuries, etc. is turning DeFi from a PVP murderground into something far more interesting (and sustainable). It's new raw material for all sorts of financial alchemy. 3. The shipping velocity and quality of these protocols is pretty mind-blowing. They're clearly AI-augmented. So DeFi 1.0/2.0 was about humans trying to milk us with the next great ponzu. Now it's humans + AI. And soon enough humans will be optional. That means experimentation is going to move much faster, and become more entertaining, addictive and weird. DeFi summer protocols required expensive human devs (who spent half their time yield farming). Sherwood Summer is going to be AI-led. 4. The most interesting thing to watch will be how Robinhood integrates DeFi into its flagship app. Most people can't be bothered to set up their own wallets, and probably shouldn't have to. That means crypto's next big influx of capital will likely come through Wall Street's existing trading apps. 5. Beyond the US, though, stock wrappers really are giving billions of people access to financial upside they've historically been shut out of. It's probably one of the most powerful things crypto has ever done. A global market that's open 24/7, accessible to anyone with a phone. It all used to feel like a dream, but now that it's finally here, we kind of shrug. And we're shrugging right at the moment things could go parabolic.

Been digging into Dolphin / $POD a bit. I think I'm really getting pilled on the AI + privacy + uncensored play here along with the integration of DePin which I always thought was a fascinating crypto use case. Dolphin already has great distro... Their models are actually being used. Dolphin Mistral 24B Venice Edition is the default uncensored model for Venice, and the broader Dolphin ecosystem is doing millions of monthly Hugging Face downloads. That is not revenue by itself. But in AI x crypto, distribution is usually the hardest part. $POD is the attempt to turn that distribution into a compute network. How it works (also visualized) - GPU owners run nodes - nodes serve inference / synthetic data workloads - node providers earn $POD based on relative contribution - users/apps eventually pay for inference - network revenue is supposed to flow back into the token through buy pressure / buybacks The first reward epoch was small - 50K $POD paid out to 33 node providers. Although small, it shows the incentive loop is there. The bull case is pretty straightforward: Dolphin has open-source model distribution. > The network creates a way to route that demand through idle GPUs > $POD becomes the economic layer connecting model usage, compute supply, and inference demand. Dolphin is interesting because there is a path from actual model usage → inference demand → node rewards → token value capture. Still early, obviously. But if they can turn existing model distribution into real paid inference demand, $POD becomes the incentive layer for a decentralized inference network that already has a reason to exist.