Elon’s right, but people don’t just need another party. They need a way to be heard in real time and at scale. Not once every four years, but every time it matters. Right now, power listens to money and media. That is the feedback loop that shapes global decisions. But what if

Finally read the full robotics deep dive from Teng Yan and it’s unreal. Massive respect to Teng Yan and team for consistently shipping research of this depth. The physical Turing test is coming. Humanoid robots are scaling faster than you think. And the scale of what’s

Maple reaches $3B AUM. That's 300% growth in 3 months. Becoming the largest asset manager onchain wasn’t enough. Just getting started.🥞

Everyone still puts Maple in the same bucket as Aave and Compound, thinking of it as a lending protocol. But that view is outdated. Maple builds structured lending strategies delivered to users through tradable, yield-bearing assets (syrupUSDC). It essentially bundles

Stacy’s list got me wondering how these protocols stack up in terms of TVL, fees, and revenue relative to their fully diluted market caps. I filtered out any projects without a tradable token, along with Layer 1s. A few protocols were missing TVL data, which I flagged in the

After a quick eye test on any pre-TGE token, I run ONE check that instantly tells me if it’s gaining legit traction. My first stop is always Moni 🧙‍♂️ Discover. In under a minute, it shows me whether Smart Accounts are engaging or it’s just inorganic, bot-driven noise. This

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Almanak is right in the mix of the next great liquidity war. Bitcoin Sage said it best: the game is shifting to agent-routed capital. Protocols can now bribe AI agents to steer flow toward their pools, a new primitive for bootstrapping liquidity. The synergy with platforms like

0/ Exploring how tokenization on Ethereum can reach its full potential. A guest thread by Carlos Domingo of Securitize. 2025 will likely be remembered as the year of tokenization. Today, we’re looking at why that is and how we can accelerate that future.

Computer use is the next step towards true agentic coworkers. Models that can click, type, and reason across the existing software humans use will work like magic. Computer-using agents will actually provide end-to-end automation across legacy and modern tools alike: navigating

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“If AI can discover cures for every cancer, those people should get rich. But the whole world should also get a cheap cure.” — Sam Altman What if it’s not a traditional company that does this, but a DeSci community? Democratizing compute, funding, and discovery so breakthroughs in