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AI liquidity pool agent with a Neuro-Bayesian Monte Carlo probability engine — self-learning deploy, monitor, and auto-close across Meteora DLMM and Orca CLMM.
I came from JPMorgan, where I worked on algorithmic risk management systems. I know how complex institutional quantitative risk pipelines are under the hood — and I firmly believe that for an individuals, that complexity should be entirely invisible.
The Pain: Managing Meteora DLMM positions manually is exhausting — constant range math, fee claims, and sleep loss over out-of-range (OOR) drift. Existing LP tools just give you more passive dashboards to stare at. None of them *acted*. So I built an autonomous agent that acts.
How it works (Zero-Friction UX): 1. Download the desktop app & connect your wallet 2. Link your Telegram bot 3. Tell it your strategy in plain English — *"Run conservative strategy, split my $1,000 budget into $50 positions"*
That's it. The system is fully strategy-agnostic: you can update parameters, shift strategies, or kill switch everything via Telegram in natural language. No config files, no manual rebalancing, no babysitting.
The Core Tech & Moat: - Patent-Pending Probability Engine: Running locally inside the desktop version, our engine extracts market & social sentiment signals, computes dynamic confidence weights, and calculates real-time win probabilities to continuously update position scores and auto-improve every cycle. - Open & Auditable Stack: The open/close decision logic was originally inspired by the Meridian framework (shoutout to @yunus-0x for the early spark) — then we've completely rewritten it from scratch into a modular, plugin-based architecture for maximum reliability and extensibility. - Zero-Barrier for Solo LPs: We include a free LLM API tier for automated financial reports out of the box. Users shouldn't need to fiddle with API keys or multi-step onboarding just to get institutional-grade insights.
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About Etemaro - AI Liquidity pool Agent on Product Hunt
“AI Automate Your Range. Feed Your Yield.”
Etemaro - AI Liquidity pool Agent was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. AI liquidity pool agent with a Neuro-Bayesian Monte Carlo probability engine — self-learning deploy, monitor, and auto-close across Meteora DLMM and Orca CLMM.
Etemaro - AI Liquidity pool Agent was featured in Fintech (47.3k followers), Crypto (39.7k followers) and DeFi (1.4k followers) on Product Hunt. Together, these topics include over 24.5k products, making this a competitive space to launch in.
Who hunted Etemaro - AI Liquidity pool Agent?
Etemaro - AI Liquidity pool Agent was hunted by Roman Kurnovskii. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Roman Kurnovskii
Hey Product Hunt 👋 — Roma here
I came from JPMorgan, where I worked on algorithmic risk management systems. I know how complex institutional quantitative risk pipelines are under the hood — and I firmly believe that for an individuals, that complexity should be entirely invisible.
The Pain: Managing Meteora DLMM positions manually is exhausting — constant range math, fee claims, and sleep loss over out-of-range (OOR) drift. Existing LP tools just give you more passive dashboards to stare at. None of them *acted*. So I built an autonomous agent that acts.
How it works (Zero-Friction UX):
1. Download the desktop app & connect your wallet
2. Link your Telegram bot
3. Tell it your strategy in plain English — *"Run conservative strategy, split my $1,000 budget into $50 positions"*
That's it. The system is fully strategy-agnostic: you can update parameters, shift strategies, or kill switch everything via Telegram in natural language. No config files, no manual rebalancing, no babysitting.
The Core Tech & Moat:
- Patent-Pending Probability Engine: Running locally inside the desktop version, our engine extracts market & social sentiment signals, computes dynamic confidence weights, and calculates real-time win probabilities to continuously update position scores and auto-improve every cycle.
- Open & Auditable Stack: The open/close decision logic was originally inspired by the Meridian framework (shoutout to @yunus-0x for the early spark) — then we've completely rewritten it from scratch into a modular, plugin-based architecture for maximum reliability and extensibility.
- Zero-Barrier for Solo LPs: We include a free LLM API tier for automated financial reports out of the box. Users shouldn't need to fiddle with API keys or multi-step onboarding just to get institutional-grade insights.