A new economic model for
great content
Single-Content Purchase & Prediction Market
What went wrong?
The Broken Content Economy
For Creators
Subscription Ceiling: Hard to convince users to subscribe forever for occasional hits.
Centralized Traffic: Algorithms favor clickbait over quality.
Monetization Gap: Single high-quality pieces often generate zero direct revenue.
For Users
Information Overload: Valuable content is buried in noise and ads.
Inefficient Payment: Forced to buy "the whole farm" just to eat one apple.
Passive Role: No incentive to curate or filter good content.
Three core pillars of the new engine
The Foundation of the User-Driven Business Model
Single Payment
Pay per content piece, not per creator. Flexible, low-friction micro-payments that liberate consumption.
User Filter
Users "vote with money". This signal is stronger than clicks, effectively filtering out noise.
Prediction Game
Payment acts as a prediction of future popularity, incentivizing early discovery and dissemination.
The economic mechanism: 20/80 split
Your Supporters Become Your Promoters
20% Content Value
(Direct to Creator)
80% Prediction Market
(To Supporters)
When a user pays $X, 20% goes directly to the creator as stable income. 80% enters the "Reward Pool" to reward those who discovered the content earlier.
Why users pay?
Dual Motivation
1. Consumption Logic
"I recognize the value of this content".
The 20% payment creates a direct value exchange. It signals genuine appreciation and supports the creator's livelihood.
2. Prediction Logic
"I predict this content will go viral".
The 80% contribution is an active prediction. By spotting quality early, the user positions themselves to earn "Thank-you Rewards" from future supporters.
The sharing chain
How It Works
1. Seniors
Anyone who paid before you.
2. Juniors
Anyone who pays after you.
When you pay, your 80% (Prediction Portion) rewards your seniors. When future users pay, you become the senior, earning from their payments.
The Goal: Be the one who sees potential before the crowd does.
The 365 day window rule
Each Prediction Has a Lifecycle
Rewards are distributed based on recency relative to the current payer. This ensures a dynamic lifecycle for every payment.
Simple math
Distribution Formula
When user pays X amount:
Creator Revenue
Revenue = 0.2 × Xn
Reward Pool
Pool = 0.8 × Xn
Reward for a specific senior i in tier k:
Reward Distribution
Rewardi,k = Poolk × (Xi / Hk)
Where Xi is the total contributed amount by senior i in tier k, Hk is the total historical payments in that tier.
Win-Win-Win ecosystem
Creators, Users, Platform
Creators
Focus on quality over quantity. Immediate 20% revenue from single hits without needing a massive subscriber base.
Users
Recover attention ownership. Gain financial upside from good taste. Information feed becomes high-signal.
Platform
Shifts from an "Ad Engine" to a "Value Engine". Revenue aligns with content quality, not view counts.
Risk control and safety
Everyone Is Safe To Go
Non-Financial Product
No tokens, no IPO, no ICO. Strictly a content appreciation mechanism.
No Secondary Market
Reward rights are tied to the account and cannot be traded or speculated on.
Finite Lifecycle
Rights expire after 365 days. The system resets, preventing "Ponzi" structures.
No Guaranteed Returns
All rewards depend on future real user activity.
The shift from ads to direct value
Back to Creating Real Value
The market is rapidly shifting away from attention-based ad models towards direct value exchange.
A new way of value discovery
Redefining "Tipping" from an emotional expression to a systematic tool for content discovery and growth.
A new economic engine for great content
Single-Content Purchase & Prediction Market
What went wrong?
The Broken Content Economy
For Creators
Subscription Ceiling: Hard to convince users to subscribe forever for occasional hits.
Centralized Traffic: Algorithms favor clickbait over quality.
Monetization Gap: Single high-quality pieces often generate zero direct revenue.
For Users
Information Overload: Valuable content is buried in noise and ads.
Inefficient Payment: Forced to buy "the whole farm" just to eat one apple.
Passive Role: No incentive to curate or filter good content.
Three core pillars of the new engine
The Foundation of the User-Driven Business Model
Single Payment
Pay per content piece, not per creator. Flexible, low-friction micro-payments that liberate consumption.
User Filter
Users "vote with money". This signal is stronger than clicks, effectively filtering out noise.
Prediction Game
Payment acts as a prediction of future popularity, incentivizing early discovery and dissemination.
The economic mechanism: 20/80 split
Your Supporters Become Your Promoters
20% Content Value (Direct to Creator)
80% Prediction Market (To Supporters)
When a user pays $X, 20% goes directly to the creator as stable income. 80% enters the "Reward Pool" to reward those who discovered the content earlier.
Why users pay?
Dual Motivation
1. Consumption Logic
"I recognize the value of this content".
The 20% payment creates a direct value exchange. It signals genuine appreciation and supports the creator's livelihood.
2. Prediction Logic
"I predict this content will go viral".
The 80% contribution is an active prediction. By spotting quality early, the user positions themselves to earn "Thank-you Rewards" from future supporters.
The sharing chain
How It Works
1. Seniors
Anyone who paid before you.
2. Juniors
Anyone who pays after you.
When you pay, your 80% (Prediction Portion) rewards your seniors. When future users pay, you become the senior, earning from their payments.
The Goal: Be the one who sees potential before the crowd does.
The 365 day window rule
Each Prediction Has a Lifecycle, Not the Content
Rewards are distributed based on recency relative to the current payer. This ensures a dynamic lifecycle for every payment.
Simple math
Distribution Formula
For the n-th payer contributing amount $X:
Creator Revenue
Revenue = 0.2 × Xn
Reward Pool
Pool = 0.8 × Xn
Reward for a specific senior i in tier k:
Reward Distribution
Rewardi,k = Poolk × (Xi / Hk)
Where Xi is the total contributed amount by senior i in tier k, Hk is the total historical payments in that tier.
Win-Win-Win ecosystem
Creators, Users, Platform
Creators
Focus on quality over quantity. Immediate 20% revenue from single hits without needing a massive subscriber base.
Users
Recover attention ownership. Gain financial upside from good taste. Information feed becomes high-signal.
Platform
Shifts from an "Ad Engine" to a "Value Engine". Revenue aligns with content quality, not view counts.
Risk control and safety
Everyone Is Safe To Go
Non-Financial Product
No tokens, no IPO, no ICO. Strictly a content appreciation mechanism.
No Secondary Market
Reward rights are tied to the account and cannot be traded or speculated on.
Finite Lifecycle
Rights expire after 365 days. The system resets, preventing "Ponzi" structures.
No Guaranteed Returns
All rewards depend on future real user activity.
The shift from ads to direct value
Back to Creating Real Value
The market is rapidly shifting away from attention-based ad models towards direct value exchange, driven by the need for quality curation.
A new way of value discovery
Redefining "Tipping" from an emotional expression to a systematic tool for content discovery and growth.