RoadMap

Building the Future of Data-Driven Insights

Phase 1: Foundation and Concept Validation

Objectives:

1. Establish the core infrastructure for the AI search engine.

2. Build a Minimum Viable Product (MVP) to test foundational features.

3. Validate technical feasibility and market demand.

Key Features and Deliverables:

Data Aggregation and Standardization:

• Develop APIs to fetch and standardize data across multiple blockchains.

• Include initial support for major chains (e.g., Ethereum, BNB Chain, Polygon).

Token Database:

• Create a comprehensive database of tokens filtered by chains.

• Provide basic search and filtering functionality.

Trending Tokens and Hot Token Metrics:

• Identify trending tokens based on volume, price movement, and social media mentions.

• Display metrics like market cap, 24-hour volume, and price change.

Basic Pattern Detection:

• Integrate simple pattern recognition algorithms for token performance.

• Highlight top-performing tokens and emerging patterns.

Milestones:

• MVP Launch with core search functionality.

• Gather feedback from early adopters to identify pain points and missing features

Phase 2: Advanced Analytics and Insights

Objectives:

1. Enhance the platform’s data analysis capabilities.

2. Introduce more sophisticated features to attract and retain users.

Key Features and Deliverables:

Advanced Filtering and Search:

• Add multi-chain support for smaller and emerging blockchains.

• Implement advanced filters (e.g., by market cap range, price trends, liquidity).

Candle Detection and Technical Analysis:

• Introduce charting tools with historical candle data.

• Provide automated technical analysis insights (e.g., RSI, MACD, moving averages).

Enhanced Pattern Detection:

• Develop algorithms to detect complex patterns such as pump-and-dump schemes and whales’ movements.

Milestones:

• Launch advanced analytics with detailed filtering.

• Partner with news providers for curated insights.

Phase 3: Conversational AI and Social Features

Objectives:

1. Incorporate conversational AI for a more interactive user experience.

2. Introduce community-driven features.

Key Features and Deliverables:

Chatbot Integration:

• Launch an AI chatbot to answer user queries about tokens, trends, and analytics.

• Support multi-lingual interactions.

Social Features:

• Add community-driven content like token ratings and reviews.

• Create forums or discussion boards for trending topics.

Sentiment Analysis:

• Provide real-time sentiment analysis for tokens based on social media trends.

Milestones:

• Roll out the chatbot in beta.

• Launch a community hub for user engagement.

Phase 4: News Aggregation

Objectives:

1. Provide real-time news updates and token-specific insights.

2. Enhance user awareness of market events and developments.

Key Features and Deliverables:

News Aggregation:

• Build a news aggregator for real-time updates on blockchain, DeFi, and tokens.

• Enable token-specific news feeds.

Milestones:

• Launch the news aggregation feature.

• Integrate with existing dashboards for seamless user experience.

Phase 5: AI-Powered Predictions, Personalized Watchlists & Ecosystem Expansion

Objectives:

1. Leverage AI to predict market trends and token movements.

2. Expand the ecosystem to integrate with other platforms.

3. Provide personalized tools for enhanced user engagement.

Key Features and Deliverables:

Predictive Analytics:

• Use machine learning models to forecast price movements and market trends.

• Offer risk assessments for token investments.

Personalized Watchlists & Alerts:

• Allow users to create custom watchlists for favorite tokens.

• Enable real-time alerts for price movements, volume changes, and market trends.

• Integrate watchlists with the user dashboard for centralized management.

Ecosystem Integrations:

• Enable integration with DeFi protocols for direct trading.

• Develop APIs for third-party platforms to access Auralex insights.

Mobile App:

• Launch mobile apps for iOS and Android with full platform functionality.

Pro Analytics Suite:

• Introduce subscription-based pro features like in-depth market reports and sentiment analysis.

• Provide insights into token correlations and portfolio risk analysis.

Milestones:

• Release predictive analytics tools.

• Launch personalized watchlists and alert systems.

• Launch mobile apps and APIs for external integrations.

• Implement a subscription model for pro features.

Phase 6: Strategic Partnerships and Ecosystem Refinement

Objectives:

1. Strengthen the platform by building strategic partnerships.

2. Refine existing features based on user feedback.

Key Features and Deliverables:

Partnership Insights:

• Highlight partnerships and collaborations between projects.

• Provide tools for analyzing the impact of partnerships on token performance.

User Feedback Integration:

• Incorporate user-driven improvements across the platform.

• Conduct community-driven feature development initiatives.

Refined Ecosystem:

• Optimize platform performance and scalability.

• Enhance user experience based on usage analytics.

Milestones:

• Launch partnership insights tools.

• Complete platform refinements for enhanced usability.