$ANSEM
Cooling DownSnapshot Window: 2026-07-15 20:40 UTC · ← Back to Crypto Overview
Social Momentum Summary
Total Engagement - Comments: 16, Retweets: 7, Likes: 30, Impressions: 9212
Verbatim Community Citations & Social Evidence 3 source posts analyzed
Gm, Web3, awake and bright. Gaze on this sigil in the pulse of light. Each look you give, a spark you send, A wish for all, a light we tend. Bound in hope, this sigil flies, Each gaze a dream, each dream will rise.
275k people got paid on Stake at the 55’ when Gordon scored for England!
AI visual note: The image shows a live bet slip from Stake for an England vs. Argentina match, displaying a winning "Score First, You Win" wager with $100 staked at 2.65 odds for a $265 payout, aligning with the post's claim that many users were paid out around the 56th minute when Gordon scored for England.
I built an AI-driven Oracle using Spiking Neural Networks (SNN) in Rust to filter DeFi flash-crashes. Looking for feedback! Hey everyone, I’ve been working on a project that tries to solve one of the biggest issues in DeFi right now: unwarranted liquidations caused by temporary exchange flash-crashes and market noise. Most traditional oracles just pass raw aggregated spot prices to smart contracts. To fix this, I built Antigravity: a First-Party Oracle powered by a Spiking Neural Network (SNN). How it works under the hood: The AI: Instead of Deep Learning, I used an SNN. Because it processes discrete "spikes", it’s naturally suited for time-series data and is incredibly aggressive at filtering out short-term market anomalies in the order book before they hit the spot price.