The Dual-Token Vision

Prediction markets thrive on liquidity, participation, and trust. Our DPM achieves this through a carefully designed dual-token system:

• Community Token (CT): A high-velocity token designed to attract a broad user base with low-cost, gamified betting on Solana’s fast and scalable blockchain.

• Governance Token (GT): A VC-funded token that empowers holders to steer the platform’s strategic direction, ensuring long-term growth and alignment with investor goals.

Together, these tokens create a dynamic ecosystem where community enthusiasm fuels market activity, and governance ensures sustainability. Let’s dive into how they relate and power our DPM.

The Community Token (CT): Fueling Participation

The CT is the lifeblood of our DPM, enabling users to dive into the excitement of prediction markets. The CT leverages Solana’s low fees and high throughput to make betting accessible and fun. Here’s how it works:

• Betting on Outcomes: Users spend CT to buy outcome tokens, such as “Yes” or “No” for questions like “Will Bitcoin hit $100,000 by Q4 2025?” These tokens represent probabilities and pay out based on the market’s resolution.

• Liquidity Provision: CT holders can stake their tokens in automated market maker (AMM) pools, ensuring smooth trading of outcome tokens and earning fees (e.g., 0.3% per trade).

• Rewards for Accuracy: Correct predictions earn users bonus CT, gamifying the experience and encouraging active participation. For example, a user who correctly predicts five consecutive markets might receive a 10% CT bonus.

The CT’s launch on @pumpdotfun taps into Solana’s vibrant community, driving rapid adoption through viral marketing and low-cost token distribution. This approach ensures our DPM attracts a diverse user base, from crypto traders to sports fans, all eager to bet on their insights.

The Governance Token (GT): Steering the Ship

While the CT powers user engagement, the GT ensures the platform’s long-term success. Backed by VC funding, the GT is distributed to strategic investors and key stakeholders, granting them governance rights over critical decisions. Its utilities include:

• Platform Governance: GT holders vote on proposals, such as approving new markets (e.g., “Will Tesla launch a new model in 2026?”), selecting trusted oracles for outcome verification, or setting platform fees.

• Fee Sharing: GT stakers earn a share of the platform’s revenue, such as 20% of trading fees generated by CT-based bets, aligning their interests with platform growth.

• Premium Features: GT holders unlock advanced tools, like predictive analytics or early access to exclusive markets, enhancing their experience.

The GT’s VC-backed launch ensures alignment with investors who prioritize scalability, regulatory compliance, and sustainable growth, making it a cornerstone of our DPM’s credibility.

Bridging CT and GT: A Symbiotic Ecosystem

The CT and GT are not isolated; they work together to create a thriving prediction market ecosystem. Here’s how they connect:

1. Transactional Synergy: The CT drives market activity by enabling bets and liquidity provision, generating fees that flow to GT stakers. In turn, GT holders vote to enhance the platform—approving new markets or increasing CT reward pools—to attract more users, boosting revenue further.

2. Token Conversion: Users can convert CT to GT (1,000 CT for 1 GT after a 90-day lockup) . This allows active CT users to gain governance influence, while GT holders can convert to CT for market participation, ensuring liquidity and flexibility.

3. Shared Rewards: Both tokens benefit from platform success. CT holders earn prediction bonuses, while GT stakers receive trading fees. A shared treasury, holding both CT and GT, funds marketing, development, and liquidity, with GT voters deciding allocations to maximize growth.

4. Community Governance: CT holders can stake their tokens for limited governance rights, such as proposing new market categories (e.g., “Entertainment” vs. “Politics”). GT holders retain control over high-stakes decisions, ensuring a balance between community input and strategic oversight.

This synergy creates a feedback loop: CT fuels user growth, which increases platform revenue, benefiting GT holders, who then govern to enhance CT utility, driving further adoption.

Why Dual Tokens? Why Now?

The dual-token mechanism positions our DPM for success in the competitive world of decentralized finance. This approach draws inspiration from platforms like Polymarket, which gained traction through user engagement, and Zeitgeist, which blends governance with prediction markets. By combining viral community growth with robust governance, our DPM is poised to lead the next wave of decentralized forecasting.

Our dual-token system invites everyone to participate. Whether you’re a crypto enthusiast betting CT on the next big event or an investor staking GT to shape the platform’s future, you’re part of a decentralized revolution. Stay tuned for our @pumpdotfun launch, and join us in predicting the world’s future—one token at a time.

Empowering Prediction Markets with Cutting-Edge AI

Try Expect’s mission is to provide a transparent, decentralized platform where users can speculate on the outcomes of events ranging from elections to economic trends. By integrating NVIDIA DGX Cloud Lepton’s powerful GPU resources and AI software stack, Try Expect is poised to transform the prediction market landscape. This partnership leverages Lepton’s global network of NVIDIA Cloud Partners (NCPs), including CoreWeave, Crusoe, Lambda, and AWS, to provide scalable compute power for advanced AI-driven analytics.

Key Benefits of the Partnership

This collaboration brings several transformative benefits to Try Expect’s platform and its community:

• AI-Powered Market Insights: Try Expect will utilize DGX Cloud Lepton’s NVIDIA NIM and NeMo microservices to train and deploy predictive models that analyze real-time data from sources like X posts, news, and historical market trends. These models will provide users with actionable insights, such as sentiment analysis and probability forecasts, to inform trading strategies.

• Scalable Compute for Real-Time Analysis: With access to tens of thousands of NVIDIA Blackwell GPUs through Lepton’s marketplace, Try Expect can process massive datasets with low latency, ensuring real-time updates to market odds and user dashboards, even during high-traffic events.

• Sovereign AI Compliance: Lepton’s regional GPU access enables Try Expect to maintain data locality, ensuring compliance with global data sovereignty regulations while delivering low-latency performance for users worldwide.

• Automated Trading and Oracles: Try Expect will explore AI-driven trading bots and decentralized oracles powered by Lepton’s compute resources, enhancing market liquidity and enabling new market types by providing reliable, trustless data feeds for event resolution.

A Unified Vision for AI and Prediction Markets

The partnership aligns with Try Expect’s vision to democratize access to predictive intelligence and NVIDIA’s goal of building a “planetary-scale AI factory.” By integrating Lepton’s unified development environment, Try Expect developers can seamlessly build, test, and deploy AI models across multi-cloud and hybrid environments, reducing operational complexity and accelerating innovation.

Early Initiatives and Future Plans

Try Expect has already begun integrating NVIDIA’s software stack, including NVIDIA Blueprints and Cloud Functions, to develop AI models for sentiment analysis and market simulation. Initial use cases include:

• Sentiment-Driven Market Predictions: Using Lepton’s GPU resources, Try Expect is training NLP models to analyze social media sentiment from platforms like X, providing real-time signals to predict shifts in market sentiment for events like political elections or sports outcomes.

• Market Stress Testing: AI simulations powered by Lepton will model how Try Expect’s markets react to sudden events, helping optimize smart contract design and user experience.

Looking ahead, Try Expect plans to leverage Lepton’s marketplace credits for startups, offered through NVIDIA’s partnerships with venture capital firms like Accel and Partech, to further scale its AI capabilities. This will enable the platform to introduce new features, such as personalized trading recommendations and AI-enhanced market resolution mechanisms.

About Try Expect

Try Expect is a decentralized prediction market platform that enables users to trade on the outcomes of real-world events using blockchain technology. With a focus on fairness, transparency, accessibility, and innovation, Try Expect empowers users to make informed decisions in a dynamic global marketplace.

About NVIDIA DGX Cloud Lepton

Lepton AI is an AI platform and compute marketplace that connects developers to a global network of GPU resources from leading cloud providers. Integrated with NVIDIA’s software stack, including NIM and NeMo microservices, Lepton accelerates AI development and deployment for applications ranging from agentic AI to physical simulations.

1. Introduction

Traditional prediction markets suffer from liquidity fragmentation, opaque pricing, and limited use cases beyond binary outcomes. Try Expect reimagines this space by combining:

• Distribution Markets (as outlined in Paradigm’s research ), enabling trading over probability distributions rather than fixed outcomes.

• Decentralized Oracles, ensuring tamper-proof resolution of real-world events.

• Composable Liquidity Pools, allowing dynamic participation across correlated events.

This litepaper outlines why this approach unlocks new possibilities and how it works technically.

2. Why Try Expect?

2.1 The Problem with Existing Systems

• Binary Limitations: Most prediction markets (e.g., Polymarket) only support yes/no questions, failing to capture nuanced probabilistic realities .

• Inefficient Liquidity: Liquidity is siloed per market, leading to high slippage for tail outcomes or low-volume events .

• Opaque Pricing: Centralized platforms often lack transparency in how odds are calculated, creating mistrust .

2.2 The Opportunity

Distribution markets allow participants to trade entire probability curves, not just single points. This enables:

• Rich Derivatives: Hedging against ranges (e.g., "BTC will trade between $50K–$60K in Q3") .

• Cross-Market Efficiency: Liquidity pools can be shared across correlated events (e.g., election results and policy impacts) .

• Data-Driven Insights: Aggregate beliefs form a public good for forecasting, akin to decentralized Schelling points .

3. How Try Expect Works

3.1 Core Mechanism

1. Distribution Trading:

   • Users mint and trade "bucket tokens" representing slices of a probability distribution (e.g., 0–10%, 10–20%, etc.) .

   • Example: For "ETH price in December 2025," buckets could span $0–$1K, $1K–$2K, etc.

2. Automated Market Making (AMM):

   • A modified AMM (e.g., based on Constant Product or Log-Normal formulas) prices buckets dynamically based on demand .

   • Liquidity providers earn fees from trades and arbitrage opportunities.

3. Decentralized Resolution:

   • Oracles (e.g., Chainlink, UMA) resolve events and distribute payouts to bucket holders .

   • Disputes are handled via decentralized governance or fallback oracles.

3.2 Technical Innovations

• Composable Buckets: Buckets can be bundled into indices (e.g., "Tech Sector Outcomes") for portfolio-level trading .

• Gas Optimization: Batch settlements and EIP-712 signatures reduce on-chain costs for high-frequency events .

• Privacy-Preserving Queries: Zero-knowledge proofs (ZKPs) allow users to verify outcomes without revealing positions .

4. Use Cases

4.1 Financial Markets

• Volatility Trading: Bet on BTC price ranges instead of exact values.

• Macro Hedging: Hedge against GDP growth brackets or inflation ranges.

4.2 Societal Forecasting

• Climate Risks: Trade on probability distributions for global temperature rises.

• Election Impacts: Correlate political outcomes with policy changes (e.g., "Chance of Fed rate cut if Candidate X wins").

4.3 DeFi Integration

• Insurance Pools: DAOs can underwrite risk by selling protection in bucket formats.

• Options Pricing: Derive Black-Scholes-like models from crowd-sourced distributions .

Try Expect transforms static prediction markets into dynamic, multi-dimensional platforms. By leveraging distribution markets and decentralized infrastructure, it creates a universal layer for probabilistic thinking—applicable to finance, governance, and beyond.