San Francisco
Joined December 2024
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Photo of my cofounder and I back when we were just two college kids at Berkeley.
I was on track to graduate with a double major in CS and Math, and had multiple full-time offers lined up.
Then we got into @alliance.
We decided to go all in on building @predexon.
I dropped the math major and graduated that semester with just a CS degree.
School teaches you to maximize optionality.
Startups are about deliberately giving most of it up.
use @freeportmarkets
Freeport Markets (@freeportmarkets) gives retail traders buy/sell signals as breaking news happens, allowing users to trade ahead of price moves.
With $60M traded and growing 50% month-over-month, it's clear that a new generation of traders is adopting the tools once reserved for Wall Street.
Congrats on the launch @Bryan__Reed and @Lihong062.
alliance.xyz/launches/freepo…
Agent + Prediction Market
Told my agent to place a $1 bet on Polymarket.
It bought data from @teneo_protocol to make a decision, then placed the order via the @predexon agent on Teneo. All without any UI or human input.
Been shipping quietly. More to come soon.
a lot has landed on Predexon lately.
⏱️ pending trades reach our stream 3–5 seconds before first on-chain confirmation. The fastest way to track Polymarket flow.
🔎 market discovery + orderbook history now span the major prediction market venues: @Polymarket, @Kalshi, @trylimitless, @opinionlabsxyz, @predictdotfun
🌐 50,000+ markets through a single websocket. full depth orderbooks, snapshots on subscribe, live deltas, trades, tick size updates. same latency as Polymarket’s native orderbook websocket.
🚨 new channel: oracle events. proposals, disputes, settlements, resets. follow market resolution in real time.
🧩 trading API is live for Polymarket and Predict.
📊 some of the deepest smart money analytics APIs in prediction markets, powered by billions of rows of stored and computed market, trade, and wallet data.
🚀 more coming soon: low-latency trading across the major venues, plus bigger infra pushes behind the scenes.
one layer to stream, query, and trade across prediction markets.
Spent part of the weekend trying to make a pitch deck with AI.
Searched “AI presentation,” tried a bunch of the tools that came up: Genspark, Manus, and others.
Honestly, most of them felt the same. The output looked obviously AI-generated, overly polished in the wrong way, and kind of vibe-coded. Hard to tell what the real product differentiation even is.
In the end, I just went back to Figma and made the deck myself.
AI is getting good at a lot of things, but for something as high-stakes and taste-driven as a pitch deck, it still feels very far from replacing real judgment.
congrats @BlockRunAI !
ALL17 next
Just wrapped up ALL16 Demo Day.
Grateful to @alliance for all the support throughout the batch and for building one of the best founder communities in crypto and AI.
You can catch @predexonintern in the post-Demo Day livestream here.
If you’re building something serious in crypto, apply.
Boss told me to repost
Looking to backtest across ALL major prediction market venues?
🚨 We just dropped 3 new endpoints on Predexon.
Historical orderbooks are now live for:
• @trylimitless
• @opinionlabsxyz
• @predictdotfun
More venues. More depth. More edge.
Met a young 44-year-old named Alex yesterday.
He wants to build a prediction market trading bot. Maybe even a full trading desk.
He’s eager to get started.
Relax, I said.
Think in decades, not quarters.
First spend a few years decoding contracts and rebuilding the data the official APIs forgot to expose.
Then move into a period of quiet reflection maintaining archive nodes, websocket infra, and backfilling historical orderbooks.
After that, manually match equivalent markets across venues in CSV files so you can figure out whether two markets are actually the same event.
Give it enough time, and one day, maybe in your early 60s, you’ll finally be ready to think about alpha.
Thoughts on the roadmap I laid out for him?
Sports markets probably have the hardest integrity requirements of any prediction market category.
You’re building on top of a live game with leagues, players, insiders, and huge information asymmetries.
So it makes sense that the integrity stack matters.
Polymarket data could become a major signal here - and an additional revenue line.
Excited to announce our partnership with @PalantirTech and TWG AI to build the next generation sports integrity platform.
Some color on why this is significant:
Today, in the state-by-state regulatory framework, leagues have limited visibility into what's happening in their markets, fragmented tooling, and have to choreograph their compliance desires across dozens of state regulators with no unified standard. Additionally, the technology being used is rudimentary compared to what's actually possible.
The shift to a federal regulatory framework is the chance to innovate around the entrenched, fragmented, and antiquated infrastructure and build this the way it should have been built.
Palantir's anomaly detection and data integration is second to none. TWG AI brings deep financial infrastructure and sports expertise, and is owned by TWG, which has ownership stakes in the Lakers, Dodgers, Chelsea, and more. These are the right partners to build something that actually holds up and gets adoption - utilizing our collective domain expertise to build a solution specifically suited for the risk profile of sports markets.
If we do this right, our hope is its use will extend beyond sports prediction markets and be valuable to all stakeholders in the sports ecosystem.
For the love of the game.
