I’ve been building a token design tool for founders and protocol teams. Tokenomics should not just live in a spreadsheet or deck. Teams should be able to test how their initial design affects liquidity, price, demand, unlock pressure, staking incentives, and growth. The tool helps reason through: - who gets tokens and when they unlock - whether launch liquidity is enough - whether demand can absorb sell pressure - whether staking rewards are sustainable - whether users will take risk for token yield - how the system behaves across bull/base/bear simulations The key question is not “does this token design look good?” It’s: “If we launch this design, where does it break?” I want this to become an end-to-end workspace for token design before launch. Would love feedback from founders, investors, researchers, and token teams.

*trillioniare

A new episode of the Hivemind is live! This week we discuss Bitcoin's breakdown, Hyperliquid's future, Crypto fundamentals, and more. Timestamps: 0:00 Introduction & Is Bitcoin Cooked? 5:44 Saylor, Bitcoin Liquidity & Market Structure 12:28 Why Crypto Is Finally Detaching From Bitcoin 19:06 The New Altcoin Market & Capital Rotation 22:35 Why HYPE's Outperformance Matters 26:22 Zcash, Value Investing & Crypto Fundamentals 31:57 Hyperliquid, Lighter & Crypto's First Compounders 33:47 Can Crypto Thrive While Bitcoin Stagnates? 38:32 Why Retail Left Crypto For AI & Stocks 40:46 BlackBerry, Equities & Staying In Your Circle Of Competence 47:54 Lighter Deep Dive 53:16 Kalshi, Perpetual Futures & Regulatory Tailwinds 55:03 Polymarket's UMA Problem 1:07:09 Ethena x Coinbase Explained 1:16:43 Bitcoin To $49K? Jason's Bear Case 1:19:43 Can HYPE Keep Going Higher?

Our New Report "Hermes: The Moat Above the Model" is live! Hermes is the AI agent that belongs to you. Your agent builds valuable context about you with every session. When you switch models, you can't take any of this with you. What a closed agent learns about you is its product. You are renting your own work back. Hermes breaks this model by keeping everything it learns on your machine. Between sessions the agent reviews its successful runs and writes them into reusable skills using GEPA, which beats reinforcement learning with 35x fewer rollouts. These skills travel with you when you switch models. Two years before Hermes shipped, @NousResearch was already building the fine tuning and reinforcement learning pipelines for their open-weight models. In the last week of May, Hermes was OpenRouter's highest volume app with 4.5 trillion tokens routed currently. At Hermes's scale, that signal lets Nous keep improving the user experience. Your memory and skills stay on your machine the whole time.

Our New Report "Hermes: The Moat Above the Model" is live! Hermes is the AI agent that belongs to you. Your agent builds valuable context about you with every session. When you switch models, you can't take any of this with you. What a closed agent learns about you is its product. You are renting your own work back. Hermes breaks this model by keeping everything it learns on your machine. Between sessions the agent reviews its successful runs and writes them into reusable skills using GEPA, which beats reinforcement learning with 35x fewer rollouts. These skills travel with you when you switch models. Two years before Hermes shipped, @NousResearch was already building the fine tuning and reinforcement learning pipelines for their open-weight models. In the last week of May, Hermes was OpenRouter's highest volume app with 4.5 trillion tokens routed currently. At Hermes's scale, that signal lets Nous keep improving the user experience. Your memory and skills stay on your machine the whole time.