Roadmap

Establishing the foundational infrastructure for Archipelago. Setting up authentication, database architecture, payment systems, and initial branding to create a solid base for development.

Upgrading authentication with Clerk for social login capabilities. Migrating existing database and unifying backend authentication with robust user management systems.

Building core API infrastructure and market data pipelines. Implementing Redis caching, data collection scripts, and React Query for efficient data management across the application.

Porting the bubble chart visualization to the new architecture. Setting up automated data collection with cron jobs and importing initial watchlists for testing.

Comprehensive audit and hardening phase. Implementing proper logging, fixing database schemas, strengthening security, optimizing frontend caching, and standardizing error handling across the platform.

Introducing treemap visualizations and unifying macro/micro dashboards. Optimizing APIs to support multiple visualization types and creating a cohesive analytics experience.

Major database expansion with 17 new metrics including OHLC data, calculated metrics, earnings data, and cross-section z-scores. Enhanced market data collector with multi-phase processing.

Integrating fundamental financial data into the platform. Adding earnings endpoints, fundamental metrics (P/E, P/S ratios), and expanded company profiles to enrich market analysis capabilities.

Complete search rewrite using snapshot API with lexicographic queries. Building full-screen detail panels, advanced filter controls with metric locking, and enhanced watchlist functionality.

Implementing time series data infrastructure with 5-minute intervals over 5-year spans. Adding configuration saving for custom filter setups and resolving watchlist management issues.

Massive database expansion to 50 million bars. Building multi-period time series charts, market comparison tools against SPY and sector ETFs, and minute-by-minute data collection systems.

Finishing time series implementation with automated collection for new listings, materialized views, and TimescaleDB migration. Creating guest account access for product demonstrations.

Architecture redesign achieving 100-1000x performance improvement (7-45s → 50-200ms). Pre-calculated time scale metrics with background processing and enhanced multi-selector interface.

Building the CANSLIM screening tool to identify stocks meeting William O'Neil's growth criteria. Implementing filters for Current earnings, Annual earnings growth, New products/management, Supply and demand, Leader or laggard, Institutional sponsorship, and Market direction.

Creating comprehensive earnings analysis tools with multiple visualizations. Building earnings performance displays and historical earnings charts to track company financial results over time and identify trends.

Designing a sentiment analysis screen combining multiple data sources. Mockup includes analyst consensus ratings, social media sentiment tracking, news aggregation, key events timeline, and AI-powered summary generation for comprehensive market sentiment.

Establishing a cohesive, professional, and intuitive design language. Moving away from experimental aesthetics toward a refined, production-ready interface that feels familiar yet distinctly Archipelago.

Transitioning from mock-first development to live data. Connecting the refined UI to real market data, ensuring seamless data flow, proper error handling, and responsive visualizations with production-grade performance.

Building out the essential features that make Archipelago useful. Focus on watchlist management, user settings, and feedback mechanisms—the foundations that transform a demo into a tool people actually use daily.