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Building an expert layer for prediction market traders, with the PredictQ co-founders
PredictQ's Justin Herzig and Cameron MacMillan on research, price comparison and portfolio tools for prediction-market traders, and trader reputation built on verifiable data.
Episode from Betting Startups Podcast. Summarised by the AffHouse newsroom from the full episode. How we work →
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PredictQ wants to be the "expert layer" for prediction markets, built for the retail traders who lose money on them. In this Betting Startups interview, co-founders Justin Herzig and Cameron MacMillan, both with deep roots in daily fantasy sports, explain the product, the funding round and what sportsbooks will have to change.
In this episode
Justin says 70% of retail traders lose money on Kalshi and Polymarket; PredictQ is built for them, while the other companies in the space chase professional traders (7:51, 30:26).
The toolkit covers four stages: discovery, research and analysis, price and platform, and portfolio management. Phase one earns through affiliate deep links, with on-site trading planned later (10:20, 12:01).
Cameron says they set out to raise half a million dollars and were over 20% oversubscribed; Justin says this gives them 18 months of runway (17:08, 18:17).
Justin argues sportsbooks can still compete, but not with promotions and bonus offers alone; they will need a more open philosophy. He points to the CFTC's August proposal on who may make markets on their own exchange (20:05, 21:06).
The founders want public trading histories to replace scam touts' claims, and are building cross-platform leaderboards to find the best traders (25:09, 25:44).
Their number one KPI is users coming to the site twice a week (29:20).
Episode from the Betting Startups Podcast, published on YouTube.