Background

The prediction market in consumer decentralized applications is experiencing rapid growth, enabling participants to trade based on the outcomes of future events rather than traditional financial assets. According to a report by Meta Tech Insights, the market was valued at approximately $1.4 billion in 2024 and is expected to grow to $95.5 billion by 2035, with a compound annual growth rate of around 46% from 2025 to 2035. Blockchain technology provides the decentralized infrastructure for these markets, reducing reliance on intermediaries and ensuring transparency and immutability of transactions. This decentralized model supports peer-to-pool betting, where users can directly deposit their wagers into liquidity pools managed by smart contracts.

Polymarket, as a decentralized prediction platform, has gained significant attention in political event forecasting. Particularly during the 2024 U.S. presidential election, Polymarket saw a betting volume exceeding $3.3 billion, reflecting the public’s high engagement and trust in the platform’s predictive capabilities. Reportedly, a French trader made a profit of $85 million by accurately predicting the election results, showcasing the platform’s potential for high-stakes betting.

Solving Key Pain Points

In the prediction market space, native projects like RareBetSports (RBS), Kizzy, and LEVR Bet are working to address common challenges to enhance user experience and operational efficiency.

Transparency and Trust Issues:

• Traditional prediction markets often lack transparency, leading users to question the fairness and reliability of platforms. To tackle this, these platforms are introducing decentralized technologies. For example, RBS uses smart contracts on the Monad blockchain to automate event result validation and reward distribution, aiming to create a transparent and tamper-proof system.

Accuracy of Real-Time Data:

• Accurate and timely data is crucial for the integrity of prediction markets. Data delays or inaccuracies can undermine user confidence and damage a platform’s reputation. Kizzy has built its own data engine to provide real-time data, while LEVR Bet uses an oracle-based settlement engine to synchronize with live match events. These solutions aim to provide real-time odds updates to support high-frequency betting.

User Engagement and Accessibility:

• Attracting a broad user base requires intuitive interfaces and easily understandable content. Kizzy focuses on combining social media elements with prediction markets, allowing users to participate in competitions related to creators and influencers. This approach leverages familiar social platforms, helping to attract and retain users.

Risk Management:

• Risk management is a crucial issue, especially in prediction markets offering leveraged betting. LEVR Bet has introduced the MVP Vault (Most Valuable Player Fund Pool), which acts as the counterparty for all bets and is designed with a layered structure to reduce the total risk exposure from individual matches. This system aims to enhance platform stability and reliability.

Fee Structure:

• High fees can discourage user participation in prediction markets. To address this, LEVR Bet has implemented a hybrid fee structure designed to lower the traditional vig (odds margin) commonly found in sports prediction markets, offering bettors more attractive odds.

By addressing these key issues, these Monad-native projects are redefining how prediction markets operate, providing users with more transparent, intelligent, and user-friendly platforms. By focusing on these areas, RBS, Kizzy, and LEVR Bet are working to overcome common challenges in prediction markets, aiming to offer platforms that are transparent, accurate, engaging, and fair. Below are the highlights and key features of each project:

RareBetSports (RBS)

RareBetSports (RBS) is revolutionizing the sports prediction market by integrating Monad’s features to offer a decentralized, transparent, and user-centric platform. With Monad, RBS provides users with a seamless and efficient betting experience.

RBS is developed and operated by a team of 10 members, spread across five cities in four countries. The team members have diverse backgrounds in blockchain technology, sports analytics, and software development, all working together to create an engaging and secure sports prediction market experience.

RareBetSports (RBS) Key Features

Real-Time On-Chain Sports Data Based on RBS Oracle and RareLink:

• RBS provides on-chain sports data, including odds, rosters, schedules, and injury reports, facilitated by its RBS Oracle and RareLink system. This setup is designed to provide accurate and verifiable data for smart contracts on the blockchain, enhancing transparency and user trust during the betting process. RBS supports traditional sports prediction markets, allowing users to bet on various sports events. The platform covers over ten sports, including soccer and basketball, and supports cryptocurrency participation (such as USDC).

Decentralized Daily Fantasy Sports (DFS):

• RBS has developed a decentralized, user-driven architecture for its DFS application. Users can connect to the platform, select players, and have the chance to increase their crypto assets, offering an attractive experience. In the DFS mode, users can build virtual teams within a budget limit and earn points and rewards based on the real-world performance of their selected athletes. This feature allows users to leverage their sports knowledge for strategic participation, optimizing team selections.

Community-Centric Competitions:

• RBS offers token-based access competitions and enhanced cooperative community reward mechanisms, aiming to boost user engagement. As the platform expands, it plans to launch games, cryptocurrencies, and community incentives to attract sports fans from around the globe.

RBS offers both mobile and desktop interfaces. Currently, users can experience the platform by applying for an early access code.

RBS is the first-place winner of the Monad Madness Bangkok Roadshow competition.

By being deployed on the Monad blockchain, RBS leverages its technological advantages in efficiency and security to ensure the stable operation of the platform. The use of smart contracts automates various processes, reducing reliance on intermediaries while enhancing the transparency of event result validation and reward distribution. Currently, RareBetSports is in its early access phase, and users are welcome to apply for access to experience the platform’s features firsthand.

Kizzy

Kizzy is referred to as the “social media version of DraftKings,” combining social media with real-time betting. The Kizzy team is made up of members with extensive experience in consumer Web3 applications and a strong interest in social media and online prediction markets. Their backgrounds include involvement in the development and operation of multiple crypto projects, giving them the ability to understand and meet the needs of the emerging market integration.

Kizzy’s unique features

Social Media Integration:

• Kizzy targets a unique market by linking betting activities to social media performance. Users can bet on real-world metrics such as creator tweet interactions, video views, or social event outcomes. This feature combines social media interaction with betting mechanics, creating a whole new user experience.

Skill-based Betting Mechanism:

• Unlike traditional prediction platforms based on randomness, Kizzy’s betting system relies on users’ understanding of influencers and trends. For example, if a user knows that a creator’s giveaway event usually performs well, they can place a bet based on this insight. This mechanism gives users a sense of control and engagement with the betting outcomes, helping to increase user retention.

Convenient Mobile Experience and Social-first Design:

• Through its mobile app, Kizzy allows users to complete setup and start betting within 30 seconds. This design caters to users’ demand for participating in social media activities anytime, anywhere, making Kizzy an ideal choice for mobile users.

Through these features, Kizzy not only enhances the innovative experience of combining social media with prediction markets but also provides a more user-centric betting approach with its mobile-first interface and skill-based mechanisms.

Kizzy finished second at the Monad Madness roadshow competition in Bangkok

Kizzy founder and CEO Aditya M presented at the Monad Madness roadshow in Bangkok. Kizzy stands out by pioneering the combination of social media and prediction markets. By leveraging Monad’s capabilities, Kizzy aims to provide a secure, scalable, and user-centered experience, distinguishing itself from traditional platforms. Its focus on skill-based personalized betting, particularly in the influencer economy, positions it as a unique product within the Monad consumer/social ecosystem.

LEVR

LEVR Bet is a decentralized sports prediction market platform that combines leveraged DeFi mechanisms with traditional sports prediction markets. By deploying on the Monad blockchain, LEVR Bet aims to provide users with a unique betting experience. Below are the main features of LEVR Bet and how it leverages Monad technology.

LEVR’s Unique Features

Leveraged Betting

• LEVR allows users to use up to 5x leverage in their bets, offering higher potential returns compared to standard prediction market platforms.

MVP Vault Mechanism

• The platform uses the MVP (Most Valuable Player) fund pool mechanism as the counterparty for all bets. The fund pool is designed in layers to reduce the full risk exposure from a single game, thus improving the stability of the platform.

Oracle-Based Settlement Engine and Liquidity In-Game Market

• LEVR utilizes an oracle-based system synchronized with real-time game events to provide users with real-time odds updates, supporting high-frequency betting and ensuring that odds reflect the latest game dynamics. The platform also features a highly liquid in-game trading market, allowing users to instantly enter or exit their betting positions during a match.

Hybrid Fee Structure

• LEVR implements a hybrid fee structure that significantly reduces the vig (odds margin) commonly found in traditional sports prediction markets, providing bettors with more favorable odds.

Through these innovative features, LEVR Bet strives to establish a differentiated advantage in the sports prediction market, especially with the support of Monad’s technology, offering users a more flexible, secure, and efficient betting experience.

LEVR BET wins third place in Monad Madness New York roadshow competition

In September 2024, LEVR Bet announced the successful completion of a $2 million Pre-seed funding round. The round was led by Third Earth Capital and Kobol Fund, with investors including Hyperithm, Big Brain Holdings, Varys Capital, Dewhales Capital, FunFair Ventures, Chorus One, L2 Iterative Ventures, and Avalaunch. This funding will be used to support the development and launch of LEVR Bet’s decentralized leveraged sports prediction market exchange on the Monad blockchain.

By integrating Monad’s technology, LEVR aims to create a decentralized leveraged sports prediction market platform that combines the advantages of DeFi with traditional prediction markets. Its unique features (such as leveraged betting, real-time odds updates, and a highly liquid in-game trading market) are designed to help it stand out in the ever-evolving online sports prediction market, offering users an innovative and diversified betting experience.

Conclusion

Monad’s native consumer application ecosystem shows tremendous potential in the prediction market space, thanks to Monad’s cutting-edge blockchain infrastructure. Consumer decentralized applications (prediction market types) such as RareBetSports (RBS), Kizzy, and LEVR Bet are addressing key industry issues, including transparency, user engagement, risk management, and fee structures. These platforms are innovating in their respective niches by leveraging Monad’s high throughput, low latency, and scalability.

By introducing unique features such as real-time data integration, personalized betting experiences, and advanced risk management systems, these projects aim to redefine the way users interact with prediction markets. They differentiate themselves from traditional competitors like Polymarket and DraftKings by offering decentralized, transparent, and user-centered alternatives.

As these projects continue to develop, they are expected to attract a diverse user base seeking a better user experience. Monad’s high-performance technology plays a key role in driving this innovation, further solidifying its native ecosystem’s crucial position in shaping the future of consumer applications in the prediction market space.

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