Product Background
From Subscription Fatigue to “Predictive Paid Content”
Over the past decade, several major shifts have happened in the content industry:
Large media organizations have declined, and more creators have chosen to work independently;
Content formats have become increasingly fragmented and short-lived, with high update frequency and short lifecycles;
Subscription-based growth has stalled, and many creators struggle to break through a ceiling in paid subscribers;
Platform traffic distribution has become extremely centralized, making it hard for creators to gain stable exposure;
Users’ information feeds are dominated by ads, sponsored content, and algorithms, causing high-quality content to drown in noise.
For creators:
Subscriptions are hard to grow, ads are hard to sell. What’s truly scarce is a stable monetization path and a predictable distribution path.
For users:
The bigger problem is information overload — yet truly valuable content is becoming harder to discover.
In this environment, the traditional model of “follow + subscribe + passive recommendation” is failing:
Subscription models bind creators and users together, but users only pay for a few top-tier creators;
Most mid-tier and long-tail creators struggle to monetize high-quality individual content pieces;
Platforms optimize recommendations for advertising revenue, effectively selling users’ time and attention instead of serving users’ real interests.
We believe the next generation of content platforms must have three core characteristics:
Pay per content, instead of forcing users to subscribe to an entire creator;
Allow users to actively express “like / dislike” and build their own information pathways;
Make the act of payment itself a prediction on future content popularity, with built-in economic incentives.
Based on this belief, we designed the Per-Content Purchase + Content Prediction Market mechanism — a new app model that serves premium, paid content, rather than pure traffic-driven entertainment.
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