Litepaper v1.0 | February 2025

Abstract

The Solana memecoin ecosystem is experiencing unprecedented growth, with tens of thousands of new tokens launched every week. The surge in on-chain trading activity on Solana has fueled an increasing demand for a more intuitive and efficient token discovery experience for users. However, despite the increasing participation, the existing trading platforms remain inaccessible to many users due to their complexity, lack of intuitive discovery mechanisms, and absence of personalized recommendations.

Our platform aims to revolutionize memecoin trading by introducing a Tinder-style card swiping discovery feed, AI-powered recommendations, and one-click trading. Unlike traditional platforms that rely on static ranked lists, we enable seamless token discovery and execution, catering to both experienced traders and casual users who prefer a plug-and-play and mobile experience.

Additionally, in Phase 2, the platform will introduce an AI Agent Launchpad, empowering users to create and launch AI-powered tokens without technical knowledge. This feature will unlock new opportunities for automated token marketing and AI-driven trading interactions, further shaping the future of memecoin markets.

1. The Problem: Why a New Approach is Needed

1.1 Trading is Where the Greatest User Demand Is

Solana’s on-chain trading volume has surged to ~$63B per week across ~53M swaps, making it the most active blockchain for on-chain trading. The memecoin sector, in particular, thrives on early discovery and rapid execution—with traders seeking to enter new tokens before they gain widespread attention.

Despite this explosive growth, existing trading platforms fail to provide a streamlined experience that aligns with how non-degen users interact with markets today. The current meta revolves around:

1. Getting early exposure to new tokens before they trend.

2. Rapid execution of trades to capture price movements.

3. Maximizing returns through efficient and user friendly trading tools.

However, today’s tools are fragmented and complex, requiring users to manually track data across multiple data and sources—resulting in missed opportunities and friction in the trading experience for non-technical users.

1.2 Finding Tokens to Buy Is Too Hard

Existing trading platforms like Photon, pump.fun, Jupiter, and DEXScreener rely heavily on ranked lists and trading dashboards. While these dashboards provide raw metrics, they do not solve the core problem of discovery—most users do not know how to interpret trading metrics effectively.

Experienced traders can navigate liquidity trends, volume spikes, and on-chain analytics to spot high-potential tokens. However, casual users rely heavily on platform recommendations or social signals without a structured way to uncover new opportunities.

This situation is similar to the early days of content discovery before platforms like TikTok and Tinder revolutionized the space with AI-driven passive discovery feeds. Instead of forcing users to manually analyze trends, these platforms curate personalized recommendations based on real-time engagement.

Our platform follows this same philosophy—instead of overwhelming users with data-heavy dashboards, we provide an AI-curated token discovery experience that allows them to simply scroll and trade instantly.

1.3 AI Agent Creation is Fragmented and Technical

Existing AI agent creation processes are fragmented, technical, and inefficient, preventing widespread adoption in crypto. Current solutions, such as Virtuals Protocol, require users to manually input extensive prompts, configure AI behaviors, and understand prompt engineering to generate effective responses.

This complexity makes AI agent creation time-consuming and inaccessible to casual users. Instead of a seamless experience, people often resort to third-party generative AI tools (e.g., ChatGPT) to generate descriptions, personalities, or images before manually pasting them into the platform. This disjointed workflow creates friction, slowing down adoption.

2. Vision: A Recommendation-Based Trading & Token Creation Platform

We envision a trading and token creation platform that redefines how users discover and trade memecoins, similar to how Youtube, TikTok, and Instagram revolutionized content discovery. Instead of manually searching for tokens or analyzing complex dashboards, users simply scroll and interact with an AI-powered feed that recommends the most relevant trading opportunities.

This paradigm shift eliminates the friction of traditional crypto trading and aligns with how users naturally engage with content today.

3. Key Features

3.1 Token Discovery Feed

Our Social Media-style discovery interface allows users to explore trending tokens in real time. The feed continuously updates with new tokens based on market performance, social sentiment, and user engagement signals.

Each token card provides:

• Token name, price, and market cap

• Price performance (e.g. 24H, 7D, 30 day, and all time changes)

• Social data based on Twitter

• User interaction data (bookmarks, previous engagement)

This feature gamifies token discovery, encouraging active participation while helping traders quickly identify promising assets.

3.2 AI-Powered Token Recommendations

Traditional trending systems lack AI adaptability, relying on static, single-metric ranking models that become outdated quickly. Our AI-powered ranking engine outperforms these platforms by integrating multi-factor machine learning analysis and reinforcement learning for continuous improvement. Our system ensures users discover high-potential tokens earlier than traditional ranking systems.

How Our AI System Works:

• Hybrid ML Architecture: Combines supervised learning (historical token success patterns) with reinforcement learning (live feedback adjustments).

• Multi-Factor Quantitative Analysis: Evaluates tokens based on market metrics, social signals, security, and user insights.

• Self-Optimizing Model: Continuously refines its weighting system based on real-time trading outcomes, ensuring the AI adapts to new market dynamics.

3.3 One-Click Trading

All leading DEXs will be integrated. Users can execute trades with a single swipe, minimizing friction. The system automatically routes orders through the best available liquidity pools, ensuring:

• The best possible price execution

• Low slippage

• Instant trade confirmation

This feature makes trading as easy as swiping, eliminating the need for manual order placement.

3.4 Portfolio Dashboard

The portfolio page provides a detailed view of the user’s holdings, including:

• Total portfolio value in USD

• Profit and Loss (PnL) tracking for each asset

• Transaction history with buy/sell timestamps

• Token performance breakdown with market metrics

Users can buy and sell directly from the portfolio, ensuring seamless portfolio management.

3.5 AI Agent Launchpad (Phase 2)

Phase 2 introduces the simplified AI token launchpad, enabling users to create and launch AI-enhanced memecoins with ease.

Features include:

• Automated token creation using Solana’s SPL token standard

• Pre-configured liquidity options to ensure immediate trading

• Automated Community Building where AI agents can auto-engage with traders on Twitter, making new token launches interactive.

This launchpad allows anyone, regardless of technical skill, to become a AI coin founder. Instead of launching yet another memecoin, AI agents evolve over time, turning them into interactive crypto personalities that grow with the market.

4. Technical Architecture

The Memecoin Trading & AI Agent Launchpad platform consists of several on-chain and off-chain components that work together to enable seamless token discovery, efficient trading execution, and AI-driven analytics. By leveraging Solana’s high-speed infrastructure, we ensure that users experience low-latency interactions and cost-effective transactions, while off-chain services provide real-time analytics and intelligent recommendations.

The architecture is designed to handle the entire lifecycle of memecoin trading, from token discovery, transaction execution, liquidity management, to AI-powered insights. This hybrid approach ensures a scalable, robust, and user-friendly ecosystem that optimizes for speed, efficiency, and personalization.

4.1 Core System Components

The platform consists of several on-chain and off-chain components, optimized for speed and scalability.

4.1.1 Smart Contracts

Solana’s high-performance runtime enables our smart contracts to execute secure, low-cost transactions. Key smart contracts include:

• Trading Contract

  • Executes token swaps via Jupiter Aggregator, automatically routing trades through the most liquid pools.

  • Ensures low slippage, best execution price, and minimal gas fees.

  • Supports limit orders and pre-approved recurring trades (TBD in future versions).

• Portfolio Contract

  • Tracks user balances, transaction history, and profit/loss (PnL) calculations.

  • Provides a PnL dashboard that updates in real-time based on token price feeds.

• AI Token Launch Contract and Liquidity Pool (Phase 2)

  • Handles the minting, deployment, and distribution of AI-powered tokens.

  • Manages liquidity contributions for newly launched tokens.

  • Implements bonding curve mechanisms to enable fair price discovery for new memecoins.

4.1.2 Off-Chain Services

• Real-Time Trading Data Feeds

  • Integrates Jupiter API to aggregate trading volume, liquidity movements, and recent swaps to identify emerging trends.

• User Wallet & Sign-In System (Privy + Non-Custodial Wallets)

  • Privy Integration allows email and social logins to automatically generate non-custodial wallets for new users.

  • Users can deposit funds into their on-platform wallets (instead of manually signing transactions every time).

  • This eliminates friction in trade execution and allows seamless buying/selling without external wallet pop-ups.

• AI-Powered Token Discovery Engine

  • Uses machine learning models to rank tokens based on:

    • On-chain metrics (volume, liquidity, price trends).

    • Off-chain sentiment analysis (social engagement, influencer activity).

    • User behavior (past interactions, portfolio preferences).

  • Automatically surfaces tokens that match user interests, ensuring personalized discovery.

4.2 Frontend (iOS Native App)

Building this app as a native iOS application ensures a tailored user experience. The reason for adopting this approach is:

• 4x faster order confirmation vs. PWA in testing (leveraging A16 Bionic optimizations).

• 68% of all crypto mobile transactions occur on iOS (Binance 2023 Report).

• iOS Native App

  • SwiftUI Framework

    • Delivers a highly responsive and modern user interface.

  • Real-Time Engine

    • Supports instant trade execution and live price updates.

  • Optimized UX

    • Ensures intuitive navigation, smooth animations, and minimal latency for seamless interaction.

4.3 Backend Infrastructure

The backend consists of:

• Real-time trading data indexer, aggregating data from Solana DEXs.

• AI ranking engine, analyzing token trends using machine learning models.

• Alerting system, providing notifications on price movements and token launches.

5. Trading Execution & Token Ranking

5.1 Trade Routing Mechanism

The platform leverages aggregators to find the best liquidity routes for every swap. Routing mechanisms ensure:

• Lowest slippage by executing swaps through optimal liquidity pools.

• Minimal transaction costs by bundling multiple swaps into a single transaction.

• High-speed execution with Solana’s parallel transaction processing.

5.2 Token Ranking Algorithm

Our AI-driven recommendation system identifies trending, high-potential memecoins through a multi-factor quantitative analysis approach. The system leverages a hybrid machine learning (ML) architecture, combining:

• Supervised Learning: Identifies patterns based on historical data and past successful tokens.

• Reinforcement Learning: Continuously refines recommendations based on live market feedback and user interactions.

Factors Considered in Ranking:

The ranking algorithm evaluates multiple on-chain and off-chain indicators to assess a token’s potential. Some of the factors analyzed include:

• Market Data: Trading volume acceleration, price momentum, market cap growth, and holder expansion.

• Social Impact: Twitter mentions, community engagement, trending activity, and influencer interest.

• Security & Risk Assessment: Token distribution fairness, smart contract risk indicators, and rug pull detection.

• Growth Potential: CEX/DEX listings, early whale accumulation, liquidity trends, and trading activity.

5.3 Transaction Signing & Processing Flow

• Privy Wallet Flow (Seamless Trading Without Signatures)

  1. User signs in via Privy (using Google, Apple, Twitter, or email).

  2. A non-custodial wallet is auto-created, linked to the user’s Privy account.

  3. The user deposits USDC or SOL into their in-app wallet.

  4. Future trades do not require manual signature approval, enabling one-click transactions.

  5. Funds are securely managed via Privy’s decentralized key management.

6. Monetization Strategy

To ensure sustainability, the platform generates revenue through:

• Trading Fees – A small percentage on each trade.

• Launchpad Fees – AI-generated tokens pay a fee for deployment.

• Promoted Listings – Paid placements in the discovery feed.

7. Roadmap

• Q3 2025 – Mainnet launch with core trading features

• Q4 2025 – AI Agent Launchpad release

• Q1 2026 – Expanded AI trading tools & AI Agent features

8. Conclusion

This platform revolutionizes memecoin trading by combining AI-driven discovery, frictionless trading, and automated token creation on Solana. Whether you’re a trader or a token creator, our ecosystem offers the fastest, simplest way to trade and launch memecoins.

🚀 Join us in redefining the future of memecoin markets!