This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Keel
Agent-native systematic trading, from backtest to live
Turn trading ideas into structured strategies with your AI agent. Backtest multi-asset portfolios in seconds, paper trade on live prices, and run the same strategy live on Hyperliquid. Why agents love it: they pick from about 250 tested components instead of writing fresh code, every draft is validated before it runs, and fast backtests create quick feedback loops. Strategies read as short, versioned graphs you can check at a glance instead of a bunch of code. What you tested is what trades.
Hey Product Hunt, I'm Zach, founder of Keel.
I've been using AI agents to build systematic strategies on Hyperliquid for over a year, and slowly built up a reliable system to represent, test and deploy them. Typically there are two options:
1) Put the LLM in the execution loop, so it makes the decisions and trades. That's slow, inconsistent and hard to audit.
2) Have the agent write all the code and the backtest. It makes subtle mistakes with time series data and timeframes, rarely reuses what worked, and it's hard to be confident the result is right, or to check it quickly yourself.
With Keel we built a small typed language for strategies. Your agent builds a strategy from about 250 tested components, as a graph of steps that carries types and clocks. Drafts are validated before anything runs, so the agent gets a fast feedback loop and a lot of common errors never make it to a backtest. Each valid strategy is fingerprinted, and the exact same artifact runs in the backtest, in paper trading and live. Strategies are also much easier for you to verify, since they're made of self-describing components and mostly linear to read.
You can try it from the Claude or ChatGPT directory, or in Claude Code, Cursor or Codex. Paper trade on live prices first, then go live on your own account from the Keel app.
We're starting with Hyperliquid and adding more venues later. If you share trading ideas with an audience, you can also publish strategies your followers can run, and earn when they trade live.
Would love to hear the first strategy you'd have your agent build, and what you'd want it to do that it can't yet. I'll be around all day answering questions.
About Keel on Product Hunt
“Agent-native systematic trading, from backtest to live”
Keel was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #139 on the daily leaderboard. Turn trading ideas into structured strategies with your AI agent. Backtest multi-asset portfolios in seconds, paper trade on live prices, and run the same strategy live on Hyperliquid. Why agents love it: they pick from about 250 tested components instead of writing fresh code, every draft is validated before it runs, and fast backtests create quick feedback loops. Strategies read as short, versioned graphs you can check at a glance instead of a bunch of code. What you tested is what trades.
On the analytics side, Keel competes within Investing, Crypto and Artificial Intelligence — topics that collectively have 548.3k followers on Product Hunt. The dashboard above tracks how Keel performed against the three products that launched closest to it on the same day.
Who hunted Keel?
Keel was hunted by Zach. 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.
For a complete overview of Keel including community comment highlights and product details, visit the product overview.
Zach