Made $20k live arbing before getting limited. Rather than let the system collect dust, I'm releasing it, capped at 25 licenses total to preserve edge. The edge degrades with volume so I'm keeping this small intentionally.
What it actually does:
The system spins up browser drivers for each book simultaneously and intercepts raw WebSocket messages at the network layer; not DOM scraping, not polling. You're getting the same feed the book's own frontend receives. Latency from line move to alert is typically 100-200ms.
Cross-book event correlation was the hard part. DraftKings and BetMGM name the same event differently. Built a fuzzy matching engine that correlates events across books in real time so you're always comparing the right lines.
When implied probability across two books drops below 100%, you get a structured JSON alert: books, lines, stake split, guaranteed profit %. No manual math.
Who this is for:
Developers only. This is not a GUI tool. You're running a Rust binary, consuming structured JSON output, and expected to build or integrate your own execution layer on top. I'm selling detection infrastructure, not a turnkey betting app.
Automated order execution is legally gray so that's not part of what I'm releasing. The output format is documented and I've personally used it as automation pipeline input, what you build on top is yours.
What you get:
A compiled Rust binary (mac/windows/linux), hardware-locked to your machine, with auto-update via GitHub Releases. One-time license, no subscription, all future updates included.
Details:
Happy to answer any technical questions in the comments: architecture, latency numbers, matching logic, output schema, whatever. (Or by email: hello@livearb.com)
Waitlist here: https://tally.so/r/EkX1JN
What it actually does:
The system spins up browser drivers for each book simultaneously and intercepts raw WebSocket messages at the network layer; not DOM scraping, not polling. You're getting the same feed the book's own frontend receives. Latency from line move to alert is typically 100-200ms.
Cross-book event correlation was the hard part. DraftKings and BetMGM name the same event differently. Built a fuzzy matching engine that correlates events across books in real time so you're always comparing the right lines.
When implied probability across two books drops below 100%, you get a structured JSON alert: books, lines, stake split, guaranteed profit %. No manual math.
Who this is for:
Developers only. This is not a GUI tool. You're running a Rust binary, consuming structured JSON output, and expected to build or integrate your own execution layer on top. I'm selling detection infrastructure, not a turnkey betting app.
Automated order execution is legally gray so that's not part of what I'm releasing. The output format is documented and I've personally used it as automation pipeline input, what you build on top is yours.
What you get:
A compiled Rust binary (mac/windows/linux), hardware-locked to your machine, with auto-update via GitHub Releases. One-time license, no subscription, all future updates included.
Details:
Happy to answer any technical questions in the comments: architecture, latency numbers, matching logic, output schema, whatever. (Or by email: hello@livearb.com)
Waitlist here: https://tally.so/r/EkX1JN