🤓 Latest Submissions
Ice Cream
Ice Cream is a no-code Web3 platform that democratizes algorithmic crypto trading. Today, automated trading bots are only accessible to developers and quants who can write code — the average person is locked out. Ice Cream changes that by giving anyone a simple, chat-driven, and drag-and-drop interface where they can describe their trading strategy in plain English, watch their AI agent get configured in real time, and deploy it to the blockchain in minutes. The platform supports multiple trading strategies out of the box — spot trading, margin trading, sniper trading, meme coin hunting, and arbitrage — all executable by AI agents that run 24/7 without the user lifting a finger. Every trade is executed on-chain, making it fully transparent and verifiable. Under the hood, Ice Cream combines a conversational AI layer built on an Ollama, a blockchain execution layer on Base (Ethereum L2), and a clean no-code builder interface built with Next.js and Framer Motion. Users connect their Web3 wallet, configure their agent through a chat wizard, and monitor their performance through a vibrant, data-rich dashboard. The target users are crypto-curious individuals in emerging markets, who understand trading but lack the technical skills to build bots themselves. Ice Cream meets them where they are, removes the technical barrier entirely, and puts institutional-grade trading automation in their hands.
12 Apr 2026
Deriv AI Risk Coach
The Deriv AI Risk Coach is a real-time assistant built as a Deriv plugin that helps traders make safer, more disciplined decisions. Instead of trying to predict market prices, the system focuses on something far more practical and impactful: trader behavior and risk management. Many retail traders lose money not because strategies are impossible, but because of emotional trading, overexposure, and poor risk control. The Risk Coach addresses this by monitoring live trading activity and identifying patterns such as overtrading, increasing stake sizes after losses, Martingale-style behavior, lack of stop-loss discipline, and rapid re-entry into trades. When these patterns appear, the assistant provides clear, non-technical warnings and guidance to help users pause, rethink, and manage risk more effectively. The system uses trade data, account metrics, and behavior patterns from Deriv products like Synthetic Indices, CFDs, Options, and DBot strategies. It evaluates how users trade over time, calculates a dynamic risk profile, and surfaces insights such as position size recommendations, exposure alerts, and behavioral flags. For automated traders, it can scan bot logic to detect dangerous loops and unsustainable strategies before they cause major losses. A key part of the experience is the explanation layer. After trades, the assistant translates activity into simple learning insights, helping users understand what went right, what went wrong, and what to improve. This turns everyday trading into a continuous learning loop rather than trial and error. The goal of the Deriv AI Risk Coach is to protect traders, improve long-term success, and make the platform more beginner-friendly by embedding behavioral intelligence directly into the trading experience.
7 Feb 2026
