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Building an expert layer for prediction market traders, with the PredictQ co-founders

Betting Startups PodcastEP 22635 minAired Published

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 →

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.

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