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Tickerbook
Two markets, one book
Research and decision-support terminal for prediction markets. Cross-venue arbitrage, multi-outcome dutching, AI-generated research briefs. Unifies Polymarket and Kalshi into one dashboard.
Top comment
Hey 👋 Dave here, solo founder of Tickerbook. This started a few months ago when I noticed the same contract "Fed cuts at the May FOMC "was trading at 0.35 on Polymarket and 0.41 on Kalshi. Same event, same day, 6 cents apart. Looked again the next morning — still there, different number. Looked again the next week — structural. Turns out this happens on hundreds of contracts. Kalshi is US-regulated, Polymarket is permissionless and global, and their user bases + fees + liquidity profiles mean prices diverge in ways that don't close themselves. Nobody was surfacing it in one place. So I built Tickerbook. It reads both books as one: → Arbitrage scanner — cross-venue mispricings with net edge after fees → Dutching — multi-outcome events where the full basket costs less than $1 → AI briefs — structured research on any contract (powered by Claude Sonnet 4.6) Important: we're not a broker. No custody, no execution. You trade on the venues themselves. Tickerbook is a research tool — that's the whole product. Launch pricing: $29/mo for the first 1,000 members, locked for life. Then it goes to $49. There's a free tier too. Would genuinely love your feedback. What's missing? What's confusing? If you trade prediction markets, I want to hear it. 🙏
About Tickerbook on Product Hunt
“Two markets, one book”
Tickerbook was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #150 on the daily leaderboard. Research and decision-support terminal for prediction markets. Cross-venue arbitrage, multi-outcome dutching, AI-generated research briefs. Unifies Polymarket and Kalshi into one dashboard.
On the analytics side, Tickerbook competes within Fintech, Artificial Intelligence and Tech — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Tickerbook performed against the three products that launched closest to it on the same day.
Who hunted Tickerbook?
Tickerbook was hunted by Dave. 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 Tickerbook including community comment highlights and product details, visit the product overview.