Serhii Ovsiienko

Serhii Ovsiienko

AI Engineer • Founder • Rust Developer
#236354624 followers3 following
⚡️ 4 day streak
>10,000All time
3 KP

About

I’m an AI engineer and solo founder building products at the intersection of AI, trading infrastructure, robotics, and agent memory. Current projects: • AI Price Patterns — market memory and pattern search for traders and AI agents • RLXBT — high-performance Rust backtesting engine • VBRL — interpretable memory-based AI for robotics • GBRAIN — graph memory for autonomous agents I build fast, ship publicly, and focus on AI systems that can remember, reason, and act.

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Maker History

Forums

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8d ago

SalesEntry - Commerce intelligence for AI agents

SalesEntry turns real shopping journeys into actionable commerce intelligence. It finds similar customer behavior, recommends what a shopper is likely to want next, and shows the evidence behind each recommendation. Built for AI agents from day one — connect through MCP or API, without another analytics dashboard.
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2mo ago

RLX Backtester - Fast Rust backtesting engine for quantitative traders

RLX Backtester is a native macOS app built for AI-powered quantitative research. Connect Claude, Cursor, or any MCP-compatible agent to design, backtest, optimize, and stress-test trading strategies locally. Unlike traditional backtesting tools, RLX combines a high-performance Rust engine, reinforcement learning workflows, and an AI-native interface that lets autonomous agents iterate on strategies in real time. Free tier included, with Pro for unlimited research.
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9mo ago

AI Price Patterns - Glass-box AI that finds real market patterns

Originally launched in 2020. Completely rebuilt. AI Price Patterns is a glass-box AI engine that finds real historical price patterns instead of making black-box predictions. It uses vector similarity search to retrieve past market situations structurally similar to the current one. Every result is explainable: traders see actual historical examples and probabilistic outcome ranges, not opaque signals. Built for evidence-based, transparent decision-making.
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