Just Submitted Chog Noir to Chogathon Every night something real happens to Chogs on Monad. Every morning your Chog takes the case. One witness is lying. The chain never does. Chog Noir is a three-minute daily detective game built from real Chog Genesis sales, transfers, and wallet history. Read the witnesses, press for details, then present the on-chain receipt that proves the lie. Your Chog becomes the detective. Its traits shape how you investigate, and its cases, rank, and streak stay with the token when it changes owners. Every answer is sealed on Monad before play and revealed after the case closes, so anyone can verify that it was never changed. No Chog yet? The Rookie desk lets anyone play today’s real case without a wallet. Play: chognoir.54-154-121-30.sslip… #Chogathon @benjanad @ChogNFT

Building something for the @strikeperps hackathon. Here's a sneak peek. Most copy trading means picking one trader and hoping they stay good. When they have a bad week, so do you. Strike does something smarter. It shows you traders worth copying, and it also flags traders worth betting against. That got me thinking. What if you watched both groups at the same time? So I'm building TUG. Picture every market as a tug of war. Strike's strong traders pull one way and its weak traders pull the other. When the gap between them gets wide, TUG picks a side. You're not betting on one person. You're reading the whole crowd at both ends of the rope. What I can share for now: → It's live. It's trading in a real Strike account with a small amount of real money. → It's patient. It doesn't chase prices. It places an order and waits, which on Strike earns a small rebate instead of paying a fee. → Its rules were locked before day one. They were published before its first trade, with no quiet changes afterwards. → It knows when to stop. If it loses a set amount, it closes everything and switches itself off. Full reveal soon. 👀

I built Ditto: a PayBox plugin that lets your AI assistant put your crypto to work by copying what real people did today, safely, with your approval, and with proof it worked. Built for the @moonpay PayBox Chapter 1 hackathon. Live on Base. The problem: when an AI assistant wants to move your money, your wallet shows you a wall of code like "0x617ba037…" and asks you to approve it. Nobody knows what they're signing. What Ditto does instead: 1. You tell your assistant: "Put 1 USDC to work on Base." 2. Ditto looks at where real people put USDC today. Right now that's 105 deposits in the last 24 hours. 3. It only offers places that pass every safety check: real people using it, real money in it, a known creator, no sudden drops, and a way to get your money out that works right now. Everything else is turned away, with the reason. 4. Before anything moves, it shows you the plan in plain words: what leaves your wallet, what you get back, and how you get out. 5. PayBox asks you to approve each step. Permission is only ever for the exact amount, never unlimited. 6. After it's done, Ditto checks the blockchain and proves what happened: what left, what arrived, that nothing else moved, and that the permission went back to zero. 7. Ask "How's my money?" to see where it is, or "Get me out" to bring it back, with proof again. Saw someone's trade on X? Paste the transaction link. Ditto explains in plain words what it really did and makes a fresh, safe version for your wallet. Copying someone's transaction exactly as it was only worked 3 times out of 47 in my tests, which is why Ditto rebuilds it instead. It can also pay a few cents for a second opinion on its numbers. In one test, a paid source said 5.13% while the blockchain said 3.27%, and Ditto showed you the difference instead of hiding it. Tested with my own money: 4 real runs on Base, in Steakhouse, Clearstar, Compound and Fluid. 1 USDC went in each time and all of it came back. Every receipt is public, so you can check them yourself. Website: ditto-atlas.vercel.app Plugin code: github.com/Jennycruzy/ditto Live data and website code: github.com/Jennycruzy/ditto-… #PayBox @PayBox @PackripEwing @maxwallenberg @CarolineDPham