Problem and Solution
Problem
Prediction markets have proven product–market fit in narrow trader segments, but mainstream adoption remains limited because:
- Onboarding is still too complex for retail users
- Trading interfaces feel like financial terminals, not consumer apps
- Distribution is weak because creation and sharing are not core behaviors
Most platforms win by concentrating liquidity into a small set of headline markets. That is not how retail behavior works. Retail adoption comes from social loops, ease of use, and repeated community engagement.
Solution
Beforehand is a Social Media Betting Platform that leverages the legality of prediction markets, built for retail usage and distribution.
Product pillars
- Markets are posts — Creating a market is as easy as posting content. Markets are designed to be shared and discussed.
- Feed-driven discovery — Users scroll markets from friends, creators, and communities. This keeps the product alive daily and supports long-tail topics.
- Built for sharing and communities — We are designed to move through group chats and community pages, including Messaging mini-app distribution.
- Retail onboarding — We integrate keyless sign-in and sponsored transactions so new users can participate quickly without managing keys or gas on day one.
- Long-tail markets win — Local, campus, creator, and friend-group markets are the core. This expands addressable retail usage beyond headline events.
What makes Beforehand different
Most prediction market platforms like Polymarket and Kalshi are optimized for traders and a smaller set of headline markets.
Beforehand is optimized for retail adoption through social distribution:
- Markets are content, not just listings
- Sharing is native, not an afterthought
- Community engagement and recurring series drive retention
- Long-tail participation is the product strategy
This is why Beforehand can function as a flagship retail onboarding program for Aptos, not simply another trading venue.