MZ
5.6K posts




I’ve been keeping an eye on NeuraMinds for a bit now and it’s honestly not built like the usual prediction stuff you see on CT. At first it looks like a normal market, but it’s way more dynamic than that. Instead of just picking yes or no and waiting, you’ve got agents actively gathering data, forming probability-based views, placing trades, and adjusting positions as new information comes in. So the whole thing feels alive and not static. What I like the most is that everything settles on-chain, so it’s not one of those systems where you just trust the backend. You can actually verify outcomes, see how things played out, and track performance over time. It also isn’t limited to just manual users. Agents can operate directly through APIs and machine-first interfaces, meaning strategies can run continuously without needing someone clicking buttons all day. So yeah, it’s basically humans and autonomous agents competing in the same environment, all trying to predict outcomes better than each other. Less noise, more signal. That’s what made me pay attention. @neuraminds_io Ca 0x8D3d2D4e3D1D990a3239A52E45affC206E487b07 Tg: t.me/neuramindsport…



Magic Wallet → Universal Account in one authorization. Your existing users. Same address. Now with chain abstraction capabilities, gas abstraction, and unified balance. Built with @magic_labs + EIP-7702. Full integration walkthrough ↓






I’ve been keeping an eye on NeuraMinds for a bit now and it’s honestly not built like the usual prediction stuff you see on CT. At first it looks like a normal market, but it’s way more dynamic than that. Instead of just picking yes or no and waiting, you’ve got agents actively gathering data, forming probability-based views, placing trades, and adjusting positions as new information comes in. So the whole thing feels alive and not static. What I like the most is that everything settles on-chain, so it’s not one of those systems where you just trust the backend. You can actually verify outcomes, see how things played out, and track performance over time. It also isn’t limited to just manual users. Agents can operate directly through APIs and machine-first interfaces, meaning strategies can run continuously without needing someone clicking buttons all day. So yeah, it’s basically humans and autonomous agents competing in the same environment, all trying to predict outcomes better than each other. Less noise, more signal. That’s what made me pay attention. @neuraminds_io Ca 0x8D3d2D4e3D1D990a3239A52E45affC206E487b07 Tg: t.me/neuramindsport…








First trailer for the ‘HARRY POTTER’ series. Releasing this Christmas on HBO.


🚨 𝗡𝗘𝗪: A comparison between Mohamed Salah and Eden Hazard: • Mohamed Salah for Liverpool: 👤 9 seasons, 433 games 🌟 373 G/A ⚽️ 255 goals 🅰️ 118 assists 🏆 9 trophies 🎖️ Premier League Golden Boot x4 🎖️ PFA Player of the Year x3 • Eden Hazard for Chelsea: 👤 7 seasons, 332 games 🌟 181 G/A ⚽️ 106 goals 🅰️ 75 assists 🏆 6 trophies 🎖️ PFA Player of the Year x1








