Rabbithole
Research organization platform with tree-based context management and semantic clustering to help researchers organize deep dives, ideation, and complex idea boards.
Project Demo
Key Impact
🎯 Won 3rd place at Neo Hackathon. Testing market with Bio researchers for idea board organization.
Overview
Rabbithole is an innovative research organization platform designed to solve the problem of context management during deep research dives and ideation sessions. The platform uses a tree-based approach to organize ideas, ensuring that only relevant ideas are included in context windows, and employs semantic clustering algorithms to automatically group related concepts, helping researchers make meaningful connections during their exploration.
The Challenge
Researchers and ideators struggle with managing context during deep dives, often losing track of important connections or including irrelevant information in their context windows. Traditional note-taking and organization tools don't handle the complex, interconnected nature of research ideas effectively. The challenge was to create a system that maintains context relevance while helping users discover meaningful connections between ideas.
The Solution
Developed a tree-based research organization platform where ideas are structured hierarchically, allowing users to control which branches of their research are included in context windows. The system uses semantic clustering algorithms to automatically group related ideas, helping researchers discover connections they might have missed. This approach ensures efficient context management while facilitating serendipitous discovery of relationships between concepts.
Results
Won 3rd place at Neo Hackathon
Implemented tree-based context management system for research organization
Developed semantic clustering algorithm for automatic idea grouping
Created platform that helps researchers maintain relevant context during deep dives
Currently testing market with Bio researchers for idea board organization
Technical Implementation
Architecture
Research organization platform with tree-based data structure for hierarchical idea management, semantic clustering engine for automatic grouping, and context window management system. Includes user interface for navigating research trees and visualizing connections.
Algorithms
Semantic clustering algorithm using natural language processing to group related ideas, tree traversal algorithms for context window generation, and similarity scoring for connection discovery between research concepts.
Data Processing
Natural language processing for semantic analysis of research ideas, tree structure management for hierarchical organization, and real-time clustering updates as new ideas are added. Context window optimization to include only relevant branches.
Deployment
Web-based platform accessible at rabbithole-cl.vercel.app, designed for researchers to organize complex research projects. Currently in market testing phase with Bio researchers to validate product-market fit for idea board organization.
Key Learnings
Tree-based structures are effective for managing complex, interconnected research ideas
Semantic clustering can automatically discover meaningful connections between concepts
Context management is crucial for maintaining focus during deep research dives
Market validation with specific user groups (Bio researchers) provides valuable feedback
Hackathon projects can quickly validate innovative approaches to research organization