Note: IOU will be points until an airdrop. Lender activity will result in IOU points on the website. When the airdrop is announced that is the start of "Year 1" for the token cycle below.
1. Initial Token Distribution & Release
The IOU token launches with a total supply of 200M tokens, strategically distributed to ensure sustainable platform growth and alignment of incentives:
Early Backers: 30M (15%) with 50% vesting per year
Community Rewards: 80M (40%) released based on platform usage
Treasury: 50M (25%) with community-governed release schedule
Team: 40M (20%) with community-governed vesting schedule
[Figure 1: Projected Token Release] Shows the projected circulation of tokens over four years, including both community rewards usage and early backer vesting schedules. 2. Dynamic Reward Structure
The platform implements a dynamic reward system that adjusts based on loan sizes and platform maturity:
2.1 Base Reward Rate
Base rewards decrease as average loan sizes increase:
Year 1 ($30 avg loan): 1.0 token per $1 + 100% bonus
Year 2 ($45 avg loan): 0.75 token per $1 + 75% bonus
Year 3 ($67.50 avg loan): 0.50 token per $1 + 50% bonus
Year 4 ($101.25 avg loan): 0.25 token per $1 + 25% bonus
[Figure 2: Dynamic Token Reward Rate] Illustrates how reward rates decrease as average loan sizes increase over time. 2.2 Borrower-Based Bonuses
Initially the award structure will be as follows and could be called the 100% bonus:
First-time borrowers: +25 IOU tokens
Second-time borrowers: +20 IOU tokens
Third-time borrowers: +15 IOU tokens
Subsequent loans: +10 IOU tokens
The lender-based bonuses and base reward rates outlined above are designed to incentivize early participation and ensure robust initial growth. As the platform scales, loan volumes grow, and average loan sizes increase, the reward structure will be adjusted to maintain economic sustainability and long-term alignment with platform goals.
R={R0×MM0,R0,if A≥Aproj,Y in year Yotherwise. If the base reward rate (R) in Year 1 is 1.0 token per $1 lent and the projected average loan size in Year 2 is 45, the rate decreases to 0.75 tokens per $1 lent only if the average loan size is 45 or more in Year 2.
If the average loan size is 45 in Year 1, the reward rate remains at 1.0 token per $1 lent until Year 2. The adjustment follows the formula: R = R0 * (M0 / M) if the average loan size is 45 or more in year Y, and R = R0 otherwise.
Here, R0 is the initial base reward rate (e.g., 1.0 token per $1 lent in Year 1), M0 is the initial maturity year (e.g., Year 1), and M is the current maturity year (e.g., Year 2). For example, in Year 1, the base reward rate is R0 = 1.0 token per $1 lent, and even if the average loan size is 45, the rate does not decrease until Year 2. In Year 2, if the average loan size is 45 or more, the reward rate decreases to R = 0.75 tokens per $1 lent, based on platform projections
3. Growth Projections & Emissions
3.1 User Growth
[Figure 3: Projected Monthly Active Borrowers] Shows the expected growth in monthly active borrowers: Projections
Year 1: 500 monthly active borrowers
Year 2: 1,500 monthly active borrowers
Year 3: 10,000 monthly active borrowers
Year 4: 100,000 monthly active borrowers
3.2 Market Evidence and Growth Potential
Reddit's lending communities provide crucial benchmarks for organic user growth in P2P lending. "r/borrow grew from approximately 2,000 active users in their first year to maintaining 1,000-1,500 active monthly borrowers by 2024, with 200-300 active lenders." This pattern suggests healthy demand for small, unsecured loans. Our projection of 500 monthly active borrowers in Year 1 represents a conservative but achievable target, given our improved platform mechanics and incentive structure.
3.3 Early Stage Growth Validation
The early metrics f startups like Lenme, SoLoFunds, and other peer-to-peer lending demonstrate realistic early-stage adoption rates in emerging markets of "the first three months averaged 500 users, growing to 3,000 by year end." Our more modest target of starting with 50-100 monthly users and scaling to 500-800 by year-end (Year 1) accounts for the additional friction of crypto adoption while maintaining proven growth trajectories. This conservative approach allows for proper community building and trust establishment.
3.4. Second Year Expansion
WeLend's experience validates our Year 2 projections. Their platform "grew from 5,000 to 15,000 users in their second year" in a traditional fintech context. Our target of 1,000-1,500 monthly users by Year 2 end represents a fraction of this growth rate, acknowledging the additional consideration of crypto adoption barriers while remaining ambitious enough to build network effects.
3.5 Mature Growth Phase
The progression to 3,000-5,000 monthly users in Year 3 and 8,000-10,000 in Year 4 aligns with proven market demand. WeLend demonstrated that platforms focused on small personal loans can achieve and sustain these volumes. "r/borrow reached approximately 30,000 subscribers with ~1,000 active monthly users by their fourth year," operating with significantly less infrastructure and fewer incentives than our platform provides.
3.6 Supporting Growth Factors
The data shows clear patterns in loan size progression. "r/SimpleLoans averages $50-150 per loan," while WeLend saw "average loan size increased from $100 to $500" as their platform matured. Our projected progression from $30 to $101.25 follows this validated pattern while maintaining conservative estimates to ensure sustainable growth.
3.7 Market Size and Penetration
Current market activity supports our growth targets. "r/borrow and r/assistance show combined monthly active borrowers of 1,500-2,200," achieved without token incentives or modern platform features. Our Year 3 target of 8,000-10,000 monthly users represents significant but achievable market expansion, supported by token incentives, improved user experience, and transparent reputation systems.
3.8 Volume Growth
[Figure 4: Monthly Volume Growth] Demonstrates the projected monthly volume based on user growth and increasing loan sizes Each milestone in the growth curve represents a key platform development phase. The initial $15K monthly volume establishes baseline market presence, expanding to $67.5K monthly as early users build credit history. By Year 3, network effects drive volume to $675K monthly, culminating in $10.1M monthly volume at platform maturity.
This progression aligns with historical patterns seen in the unsecured P2P lending sector, where successful platforms demonstrate exponential volume growth as they transition from early adoption to market maturity. The growth curve reflects our conservative initial loan sizes and gradual scaling approach, prioritizing sustainable expansion over rapid but potentially unstable growth.
[Figure 5: Token Emissions vs Volume] Illustrates the relationship between community rewards distribution and platform volume growth, showing how emissions are tied to platform adoption. 4. Community Composition
4.1 Borrower Distribution
[Figure 6: New vs Returning Borrowers] Shows the monthly breakdown of new versus returning borrowers and their respective reward allocations, demonstrating the platform's user retention and growth. 4.2 Governance Participation
[Figure 7: Governance Participation Growth] Tracks the growth of governance-eligible users (those with 5+ successfully repaid loans) Year 1: 100 eligible voters
Year 2: 500 eligible voters
Year 3: 5,000 eligible voters
Year 4: 15,000 eligible voters
[Figure 8: Monthly Platform Metrics Dashboard] Provides a comprehensive view of key Year 4 metrics Governance rights are earned through platform participation:
Minimum requirement: 5 successfully repaid loans
Voting power for platform parameters
Control over treasury and team token release schedules
Authority to adjust reward mechanisms
7. Long-term Sustainability
The tokenomics model ensures long-term sustainability through:
Decreasing reward rates as loan sizes increase
Community governance over key parameters
Balanced distribution between immediate and long-term incentives
Dynamic adjustment of emissions based on platform growth
This documentation provides a comprehensive overview of the IOU token economics. Each figure supports specific aspects of the model and should be placed accordingly in the documentation for maximum clarity.
8. Token Utility & Burn Mechanisms
The IOU token's utility extends beyond traditional governance and rewards mechanisms through its integral role in platform operations. Token holders with five or more repaid loans gain governance rights, allowing participation in key platform decisions. This earned governance model ensures decision-makers have direct lending experience and platform understanding.
[Figure 9]: Projects the volume of tokens burned through loan bundle auctions scaling from Year 3 ($675K monthly loans) to Year 4 ($10.1M monthly loans). With bundling triggered at $500K thresholds, estimated monthly burns increase from 100K to 750K tokens as platform volume grows, creating consistent deflationary pressure tied to actual lending activity. A core utility of IOU tokens lies in credit security auctions, where tokens are permanently burned upon use. This mechanism directly ties token value to platform activity while systematically reducing supply. As lending volume grows and more participants engage in credit security auctions, the burn rate creates natural supply constraints that reflect genuine platform adoption.
Beyond auction burns, the platform maintains flexibility for community-governed burn mechanisms. The governance system can implement additional burns based on platform metrics, allowing token supply to adapt to growth dynamics. These potential burn triggers include lending volume milestones, user growth targets, and revenue thresholds, ensuring long-term economic sustainability.
[Figure 10: Credit Security Auction Mechanics] Illustrates the fundamental differences between platform's credit security auctions and US Treasury auctions. Our system implements dynamic bundling at $500K thresholds with automatic Dutch auctions, incorporating token burns to reduce supply, while Treasury auctions operate on fixed schedules with multiple-price formats. This model enables flexible securitization based on lending volume growth while maintaining consistent deflationary tokenomics through auction participation. The combination of utility-driven burns through auctions and governance-enabled supply adjustments creates a robust token economy. This model aligns participant incentives while maintaining adaptability as the platform matures. Real platform usage, rather than speculative activity, drives token value through consistent supply reduction tied to core business activities.
